dinesh finance

Upload: duke-carlier

Post on 05-Apr-2018

222 views

Category:

Documents


0 download

TRANSCRIPT

  • 7/31/2019 Dinesh Finance

    1/67

    1

    A STUDY ON ANALYSIS OF EQUITY

    SHARE CAPITAL IN BANKING

    INDUSTRY WITH REFERENCE

    TO SHAREKHAN LIMITED,

    PROJECT REPORT

    Submitted by

    J. DINESHKUMAR

    Reg. No. 088001107008

    in partial fulfilment of the requirements for the award of the degree of

    MASTER OF BUSINESS ADMINISTRATION

    HINDUSTHAN COLLEGE OF ENGINEERING AND TECHNOLOGY

    COIMBATORE-641 032

    MAY 2010

  • 7/31/2019 Dinesh Finance

    2/67

    2

    HINDUSTHAN COLLEGE OF ENGINEERING AND

    TECHNOLOGY,

    COIMBATORE-641 032

    DEPARTMENT OF MANAGEMENT STUDIES

    PROJECT WORK

    MAY 2010

    This is to certify that the project entitled

    A STUDY ON ANALYSIS OF EQUITY SHARE CAPITAL IN

    BANKING INDUSTRY WITH REFERENCE TO SHAREKHAN

    LIMITED,

    Is the bonafide record project done by

    J. DINESHKUMAR

    Reg. No. 088001107008

    Of MBA- Core during the year 2008-2010.

    Mr.N.J.Ravichandhran, Mba, M.Phil., Mr. K.R. Shoban B.com, MBA,

    PGDPMIR, NET, SLET.

    PROJECT GUIDE HEAD OF THE DEPARTMENT

    Submitted for the Viva-Voce examination held on _______________________

    INTERNAL EXAMINAR EXTERNAL EXAMINAR

  • 7/31/2019 Dinesh Finance

    3/67

    3

    CONTENTS

    DESCRIPTION PAGE NO

    Acknowledgement II

    List of tables III

    List of charts IV

    Abstract V

    1.1 ABOUT THE STUDY 1

    1.2 INDUSTRY PROFILE 4

    1.3 COMPANY PROFILE 7

    1.4 OBJECTIVE OF STUDY 11

    1.5 SCOPE OF THE STUDY 12

    1.6 LIMITATION OF THE STUDY 13

    1.7 REVIEW OF LITERATURE14

    2 RESEARCH METHODOLOGY16

    3 DATA ANALYSIS AND INTERPRETATION21

    4 FINDINGS AND SUGGESTION58

    5 CONCLUSION 63

    BIBILIOGRAPHY

  • 7/31/2019 Dinesh Finance

    4/67

    4

    DECLARATION

    I affirm that the project work titled A STUDY ON ANALYSIS OF EQUITY

    SHARE CAPITAL IN BANKING INDUSTRY WITH REFERENCE TO

    SHAREKHAN LIMITED,being submitted in partial fulfillment for the award of MASTER

    OF BUSINESS ADMINISTRATION is the original work carried out by me. It has not formed the

    part of any other project work submitted for award of any degree or diploma, either in this or any

    other University.

    J. DINESHKUMAR

    (088001107008)

    I certify that the declaration made above by the candidate is true

    Mr.N.J.Ravichandhran, Mba,M.Phil.,

    Lecturer

    Department of Management Studies

  • 7/31/2019 Dinesh Finance

    5/67

    5

    ACKNOWLEDGMENT

    I first and foremost thank to lord god almighty for giving me grace and knowledge to

    complete this project work successfully

    My sincere and hearty thanks to Dr.V.DURAISAMY, ME, Ph.D., The Principal,

    Hindustan College of Engineering and technology, Coimbatore, for giving me opportunity to do

    the project.

    I express my thanks to Head of the Department of management studies, Hindustan College

    of Engineering and technology, Coimbatore, for her support and encouragement in completing in

    this project work.

    I admit my thanks to, Lecturer .Mr.N.J.Ravichandhran, Mba,M.Phil., of Department of

    management studies, Hindustan College of Engineering and technology, Coimbatore, for the

    continuous guidance to accomplish my project work. And I thank all the other faculties of the

    department of management studies for their valuable support in my project study.

    I am deeply indebted to Mr.Ramanarasiman Manager of finance, Sharekhan Limited,

    Erode for giving me the permission and arranged for the needful help and enabling me to

    undertake project in their esteemed and reputed organization.

    Last but not least I submit my thanks to my parents, family members and friends for

    providing me their support on my work.

    J.DINESHKUMAR

  • 7/31/2019 Dinesh Finance

    6/67

    6

    ABSTRACT

    The study entitled Analysis Of Equity Share Price Movements was conducted in Share

    Khan Ltd. The study was undertaken to know whether the indices can be used as a significant

    explanatory variable for predicting share Market prices.

    Through this study the impact of equity share price movements of banking industries have

    been analyzed, the strength of association of variables have also been measured.

    The study was conducted by collecting data from various websites. The selected companies

    were those companies which are listed and actively traded with high volumes in BSE. The data

    were collected for 10 companies from banking industry. The data is collected for five years

    (1.4.2005 31.3.2010) which is taken for the study.

    The collected data were exploratory datas which was measured through simple Correlation

    analysis and Beta analysis. The analysis shows that share price of banking industry to analyze the

    risk of the companies.

    CHAPTER I

    1.1 ABOUT THE STUDY

  • 7/31/2019 Dinesh Finance

    7/67

    7

    EQUITES AN OVERVIEW

    An instrument that signifies an ownership position, or equity, in a corporation, and

    represents a claim on its proportionate share in the corporation's assets and profits. A personholding such an ownership in the company does not enjoy the highest claim on the company's

    earnings. Instead, an equity holder's claim is subordinated to creditor's claims, and the equity

    holderwill only enjoy distributions from earnings after these higher priority claims are satisfied.

    Also called equities or equity securities or corporate stock.

    EQUITY INVESTMENT:

    Equity investment generally refers to the buying and holding of shares of stock on a

    stock market by individuals and funds in anticipation of income from dividends and capital gain as

    the value of the stock rises. It also sometimes refers to the acquisition of equity (ownership)

    participation in a private (unlisted) company or a startup (a company being created or newly

    created). When the investment is in infant companies, it is referred to as venture capital investing

    and is generally understood to be higher risk than investment in listed going-concern situations.

    EQUITY FUND:

    A stock fund orequity fund is a fund that invests in Equities more commonly

    known as stocks. Such funds are typically held either in stock or cash, as opposed to Bonds, notes,

    or other securities. This may be a mutual fund or exchange-traded fund. The objective of an equity

    fund is long-term growth through capital appreciation, although dividends and interest are also

    sources of revenue. Specific equity funds may focus on a certain sector of the market or may be

    geared toward a certain level of risk.

    Stock funds can be distinguished by several properties. Funds may have a specific

    style, for example, value or growth. Funds may invest in solely the securities from one country, or

    from many countries. Funds may focus on some size of company, that is, small-cap, large-cap, et

    http://www.investorwords.com/865/claim.htmlhttp://www.investorwords.com/4525/share.htmlhttp://www.investorwords.com/4525/share.htmlhttp://www.investorwords.com/273/asset.htmlhttp://www.investorwords.com/273/asset.htmlhttp://www.investorwords.com/3880/profit.htmlhttp://www.investorwords.com/3880/profit.htmlhttp://www.investorwords.com/3880/profit.htmlhttp://www.businessdictionary.com/definition/equity-holder.htmlhttp://www.businessdictionary.com/definition/equity-holder.htmlhttp://www.investorwords.com/4795/subordinated.htmlhttp://www.investorwords.com/2324/holder.htmlhttp://www.investorwords.com/1495/distribution.htmlhttp://www.investorwords.com/4525/share.htmlhttp://www.investorwords.com/273/asset.htmlhttp://www.investorwords.com/3880/profit.htmlhttp://www.businessdictionary.com/definition/equity-holder.htmlhttp://www.investorwords.com/4795/subordinated.htmlhttp://www.investorwords.com/2324/holder.htmlhttp://www.investorwords.com/1495/distribution.htmlhttp://www.investorwords.com/865/claim.html
  • 7/31/2019 Dinesh Finance

    8/67

    8

    cetera. Funds which are managed by professionals are said to be actively managed where as Index

    funds try as best as possible to mirror specific market indices.

    SHAREHOLDERS' EQUITY:

    Shareholders' equity (or stockholders' equity, shareholders' funds,

    shareholders' capital employed) is this interest in remaining assets, spread among individual

    shareholders of common or preferred stock.

    At the start of a business, owners put some funding into the business to finance

    assets. Businesses can be considered to be, for accounting purposes, sums of liabilities and assets;

    this is the accounting equation. After liabilities have been accounted for, the positive remainder is

    deemed the owner's interest in the business.

    This definition is helpful when a business is not paying its bills and gets liquidated,

    wound up, put into receivership or bankruptcy. Then, a series of creditors, ranked in priority

    sequence, have the first claim on the proceeds (e.g. asset sales), and ownership equity is the last or

    residual claim against assets, paid only after all other creditors are paid. In such a case, creditors

    may not get enough money to pay their bills, and nothing is left over to reimburse owners' equity.

    Thus owners' equity is reduced to zero. Ownership equity is also known as risk capital, liable

    capitaland equity.

    PRIVATE EQUITY:

    In finance, private equity is an asset class consisting of equity securities in

    operating companies that are not publicly traded on a stock exchange. Investments in private equity

    most often involves either an investment of capital into an operating company or the acquisition of

    an operating company. Capital for private equity is raised primarily from institutional investors.

    There is a wide array of types and styles of private equity and the term private

    equity has different connotations in different countries.

    Among the most common investment strategies in private equity include leveraged

    buyouts, venture capital, growth capital, distressed investments and mezzanine capital. In a typical

  • 7/31/2019 Dinesh Finance

    9/67

    9

    leveraged buyout transaction, the private equity firm buys majority control of an existing or mature

    firm. This is distinct from a venture capital or growth capital investment, in which the private

    equity firm typically invests in young or emerging companies, and rarely obtain majority control.

    Private equity fund

    Private equity fund is a pooled investment vehicle used for making investments in

    various equity (and to a lesser extent debt) securities according to one of the investment strategies

    associated with private equity. Private equity funds are typically limited partnerships with a fixed

    term of 10 years (often with annual extensions). At inception, institutional investors make an

    unfunded commitment to the limited partnership, which is then drawn over the term of the fund.

    A private equity fund is raised and managed by investment professionals of a

    specific private equity firm (the general partner and investment advisor). Typically, a single private

    equity firm will manage a series of distinct private equity funds and will attempt to raise a new

    fund every 3 to 5 years as the previous fund is fully invested.

    1.2 INDUSTRY PROFILE

    In the wake of the introduction of new economic policy in the middle of the year 1991, the

    Indian Capital Market has witnessed a tremendous growth. There was an explosion of investor

    interest during the nineties and an equity cult emerged in the country. To experience sustained

    growth statutory legislations have helped the capital market. Foreign Exchange regulation act is

  • 7/31/2019 Dinesh Finance

    10/67

    10

    one such legislation in this direction. Government of India has initiated several steps to strengthen

    the capital market and regulate its activities. The number of shareholders has increased from a low

    figure of about two millions towards the end of seventies to the level of more than 25 millions.

    An important recent development has been the entry of Foreign Institutional Investors as

    participants in the primary and secondary markets for industrial securities. In the past several

    years, investments in developing countries have increased remarkably. Among the developing

    countries India has received considerable capital inflows in recent years. The liberalization policy

    of the Government of India has now started yielding results and the country is poised for a big leap

    in the industrial and economic growth. The

    Economy of the country is mainly based on the development of the corporate sectors. Funds may

    be raised through securities market for financing corporate growth.

    Generally, the security prices reflect the performance of a company. Both economic and

    non-economic factors invariably affect stock return behavior. As Cootner (1964) says that the

    prices of securities are typically very sensitive, responsive to all events, both real and imagined.

    Again a major factor responsible for stock return fluctuations is speculative purchase and sale by

    foreign institutional investors. Indian financial institutions also play a major role in equity market

    leading to stock return fluctuations. Many theories have come up which have empirically verified

    the investors behavior at the international as well as at the Indian context. In the present project, it

    is attempted to test the equity price movements taking pharmaceuticals, oil and sugar industries as

    sample sectors.

    Stock Exchange

    The stock exchange or secondary market is a highly organized market for the purchase and

    sale of second hand quoted of listed securities. The securities contracts (Regulation) Act 1956

    defines a stock exchange as an association, organization or not, established for the purpose of

    assisting, regulating and controlling business in buying, selling and dealing in securities.

  • 7/31/2019 Dinesh Finance

    11/67

    11

    Of all the modern service institutions, stock exchange plays a crucial agents and facilitators

    of entrepreneurial progress. After the industrial resolution, as the size of the business enterprises

    grew, it was no longer possible for individual person or even partnerships to raise such huge

    amount for undertaking these ventures. Such huge requirements of capital can be met only large

    number of individuals.

    These investors could be expected to participate actively only if investment is liquid or they

    could sell a part of their stake whenever they wish to generate cash. This liquidity can be achieved

    through shares and debentures representing smallest units of ownership and lending represented by

    the public. The institution where these securities are traded is known as stock exchange. This stock

    exchange is one of the most important institutions in the capital market.

    Bombay Stock Exchange

    The origin of the Bombay stock exchange date back to 1875. It was organized under the

    name of the native stock and shares brokers association as a voluntary and non-profit making

    association. It was recognized on a permanent basis in 1957. This premier stock exchange is the

    oldest stock exchange in Asia. The objectives of the stock exchanges are:

    1. To safeguard the interest of the investing public having dealings on the exchange.

    2. To establish and promote honorable and just practices in securities transaction.

    3. To promote, develop, and maintain well regulated market for dealing in securities.

    4. To promote industrial development in the country through efficient resource

    mobilization by the way of investment in corporate securities.

    National Stock Exchange

    The National Stock Exchange of India Limited has genesis in the report of the High

    Powered Study Group on Establishment of New Stock Exchanges, which recommended promotion

    of a National Stock Exchange by financial institutions (FIs) to provide access to investors from all

    across the country on an equal footing. Based on the recommendations, NSE was promoted by

    leading Financial Institutions at the behest of the Government of India and was incorporated in

  • 7/31/2019 Dinesh Finance

    12/67

    12

    November 1992 as a tax-paying company unlike other stock exchanges in the country.

    On its recognition as a stock exchange under the Securities Contracts (Regulation) Act,

    1956 in April 1993, NSE commenced operations in the Wholesale Debt Market (WDM) segment

    in June 1994. The Capital Market (Equities) segment commenced operations in November 1994

    and operations in Derivatives segment commenced in June2000.

    Trading on NSE is characterized by four key innovations.

    The physical floor was replaced by anonymous, computerized order- matching with strict

    prime-time priority.

    The limitations of being on Mumbai and the limitations of Indias Public telecom network

    were avoided by using satellite communications. Now NSE has a network of over 2000 satellite

    terminals all over the country. On a typical day almost over 3500 traders login to the trading

    computer over this network. This is larger than the capacity of the largest trading floors in the

    world.

    NSE is not owned by brokers. It is a limited liability company and brokers or franchisees.

    Therefore NSEs staff is free of pressures from brokers and is able to perform its regulatory and

    enforcement functions more effectively.

    Traditional practices of unreliable fortnightly settlement cycle with escape clause of badla

    were replaced by a strict weekly settlement cycle without badla.

    1.3 COMPANY PROFILE

    Sharekhan is a retail broking arm of S.S.Kantilal Ishwarlal Investors Services Pvt Ltd, an

    organization with more than eight decades of trust and credibility in the stock market. Sharekhan

    Ltd(Formally SSKI Investors Services Pvt Ltd) was promoted by Mr.Shripal.S.Morakhia and

    Mr.Shreyas.S.Morakhia. It is currently Indias largest broking house. It is a member of Bombay

  • 7/31/2019 Dinesh Finance

    13/67

    13

    Stock Exchange. It is a depository participant of the NSDL and CDSL. Its business includes Stock

    broking, Depository services, Portfolio management and Derivatives.

    The companys core specialty lies in its retail distribution with a large network of branches

    i.e.510 share shops(retail shops) in 170 cities in India. Its strength lies in its investment research

    capabilities. Its research division several analysts continuously monitoring global, national,

    regional, political, economical and social situations so as to assess their impact on the economy in

    general, the sectors and companies they research which helps them if offering quality research and

    advice to clients.

    Milestones of SSKI:

    1922: The SSKI started its operation in stock broking.

    1922: The SSKI became the first member in the BSE as institutional broker.

    1984: Ventured into corporate finance.

    2000: It started its retail business with the brand name SHAREKHAN.

    2002: The site was launched on Feb 8th in on-line trading.

    2002: The next generation technology product Speed Trade was launched on April 17th.

    2002: The advanced technology in on-line business Speed trade plus was launched on

    October 28th for derivative trading.

    2005: It crossed 40,000 clients trading on-line.

    2006: The SSKI crossed US $8 billion of private equity deals.

    Achievements of Sharekhan:

    Ratedamong the top 20 wired companies along with Reliance, HUL, Infosys et by

    Business Today, January edition.

    Awarded Top Domestic Brokerage House four times by Euro money and Asia money.

  • 7/31/2019 Dinesh Finance

    14/67

    14

    Pioneer of on-line trading in India amongst the top 3 on-line trading website from

    India. Most preferred financial destination amongst on-line broking customers.

    Winner of Best Financial Website award.

    Indias most preferred brokers within 5 years. Awaaz Consumers Award 2005.

    Way of Life in Sharekhan:

    People driven relationships

    Fleet footed

    Growth driven

    Values and ethics based

    Tremendous growth opportunities for dynamic

    Individuals with strong entrepreneurial instinct.

    Vision, Mission and Objectives:

    Vision:

    To be the best retail broking brand in the Indian equities market

  • 7/31/2019 Dinesh Finance

    15/67

    15

    Mission:

    To educate and empower the individual investor to make better investment decisions

    through quality advice and superior service

    Objectives:

    To ensure satisfaction through teamwork and professional management.

    To provide good quality of services on a continuous basis to the satisfaction of clients

    To attain specified level of performance every year and ensure compliance with

    statutorily requirements

    To extend effective guidance to brokers, to clearing house corporation, companies and

    investor in e-stock trading.

    Products and Services offered by Sharekhan:

    The products offered by Sharekhan are as follows

    Online Products

    1.CLASSIC ACOUNT

    2.SPEEDTRADE

    1. CLASSIC ACCOUNT:

    This account allows the client to the trade through out website and it is suitable for retail

    investors.Our online trading website also comes with the Dial-n-Trade service that enables you to

    buy and sell shares by calling their dedicated toll free number.

  • 7/31/2019 Dinesh Finance

    16/67

    16

    2.SPEEDTRADE:

    SPEEDTRADE is a next generation online trading product that brings the power of your

    brokers terminal to your PC. It is ideal for active traders who transact frequently during days

    trading session capitalize on intra-day price movements. SPEEDTRADE is an internet based

    application available on CD, which provides everything a trader needs on one screen, there by,

    reducing the required to execute a trade.

    SPEEDTRADE has all the above mentioned features with the power to trade in cash and

    derivatives from a single screen.

    KEY FEATURES OF SPEEDTRADE:

    Single Screen Trading Terminal

    Real-Time Streaming Quotes

    Live Tic-Tic Intra-Day Charting

    Instant Order/Trade Confirmation In The Same Window

    Hot Keys Similar To A Brokers Terminal

    Customized Alerts Based On Multiple Parameters

    Back-Up Facility To Place Trades On Direct Phone Lines

    1.4 OBJECTIVES OF THE STUDY

    To know the trading activities those are being done by the company.

    To study the online trading that are been done by the company.

  • 7/31/2019 Dinesh Finance

    17/67

    17

    To analyze the equity share price movements of banking industry.

    To give a better solution to the company in order to give a suggestion to

    the investors before their investment.

    1.5 SCOPE OF THE STUDY

    The investors are not ready to take more risk by investing in the banking

    industry. So the analysis are made in order to make the investors to invest in the

    company which gives better return.

  • 7/31/2019 Dinesh Finance

    18/67

    18

    The study is all about the equity share price movements for banking

    industry, were the suggestions will be given to the investors to invest in that

    company or not.

    To analyze the factors that affects the share prices of the banking industry.

    1.6 LIMITATIONS OF THE STUDY

    This study is confined to 5 Years only and hence the changes taken place before and after

    these periods have not taken into consideration.

  • 7/31/2019 Dinesh Finance

    19/67

    19

    This study is compared with SENSEX indices only.

    Only sample of 10 bank are taken for consideration.

    1.7 REVIEW OF LITERATURE

    WHAT DRIVES PRICE MOVEMENT?

    A perfect capital market predicts changes in stock price when the equilibrium valuation

    of the stock changes. They try to find out factors other than this. They focus on a theyll-

  • 7/31/2019 Dinesh Finance

    20/67

    20

    established event: the negative price reaction to the seasoned equity offerings. While this can be

    explained by asymmetric information, a downward-sloping demand curve for stocks is also

    consistent with it. They argue that they can disentangle the two factors using a natural experiment

    in Chinas stock market, where companies equity offering plans need to be approved by the

    regulator.

    They find strong negative price reactions to the announcement of such approval. Since

    all information on the overvaluation of the firm is released when the company announces its equity

    offering plan, the negative reaction to the approval of the plan cannot be explained by changes in

    the valuation of the firm. Furthermore, they find that the negative price reaction to the

    announcement of the approval is absent in the B-share market if the company only issues shares in

    the A-share market. The evidence suggests that a supply shock to a downward-sloping demand

    curve drives the price movement.

    JAMES JINHO CHANG AND HYUN-HAN SHIN:

    The effect of the Securities and Exchange Commission's (SEC) review of the

    registration statement on the issuing firm's stock price during the new equity issuance process. We

    find that the market reaction to the amendment of the registration statement is negative in general

    and it is more negative as amendment is filed repeatedly and contains non-neutral information.

    The findings imply that the SEC's review procedure (including corporate disclosure

    regulation) forces issuing firms to reveal unfavorable information during the new equity issuance

    process. Similarities in the review process between some Asian countries and the United States

    suggest that our findings based on the US data can be applicable to Asian securities markets.

    ROBERT SHILLER'S:

    When looking at broad stock market price indexes, such as the Standard & Poor's 500,

    Shiller's argument is largely based on two premises about the historical behavior of stock prices.

    First, Shiller asserts that market wide price--dividend and price--earnings ratios have a tendency to

  • 7/31/2019 Dinesh Finance

    21/67

    21

    revert toward their historical averages. This implies that high stock price valuations are not likely

    to persist. (1) Second, dividend movements are not nearly volatile enough to rationalize stock price

    volatility. This suggests that changes in expectations about future dividends cannot be responsible

    for stock price movements.

    While Shiller argues that irrational exuberance explains the run-up in stock prices in the

    1990s, we present evidence that the case for market fundamentals is stronger than it appears on the

    surface. First, we demonstrate that swings in the price--dividend and price--earnings ratios show

    substantial persistence, particularly since World War II. This raises doubts about the existence of a

    "normal" price--dividend (or price--earnings) ratio. Hence, using the average value of one of these

    ratios as a gauge of the average, or normal, valuation ratio is misleading. A price--dividend ratio of

    30 may have seemed high from the pre-1980s perspective but not after the 1990s.

    Second, we investigate whether plausible combinations of lower expected future real

    discount rates or higher expected real dividend (earnings) growth could rationalize broad market

    stock values, raising the possibility that changes in market fundamentals have made a major

    contribution to the run-up in stock prices.

    Using panel data for the OECD countries over the period from 1953 to 1999, the

    empirical estimates showed that factor shares and supply shocks are important, if not the mostimportant, macroeconomic variables driving real share prices. Hence, the increase in capitals

    income share in the 1980s and the 1990s were an influential factor behind the share market run-up

    in the 1980s and 1990s.

    CHAPTER II

    RESEARCH METHODOLOGY

    INTRODUCTION

    Research methodology is a way to systematically solve the research problems. It includes

    the overall research design, the sampling procedure, and Data collection method and analysis

    procedure.

  • 7/31/2019 Dinesh Finance

    22/67

    22

    RESEARCH DESIGN

    A research design is the arrangement of condition for collection and analysis of data in a

    manner, which may result in an economy in procedure. It stands for advance planning for

    collection of the relevant data and the techniques to be used in analysis, keeping in view the

    objectives of the research and availability of time. The research used here for the study is

    descriptive research. Descriptive research is quite informal, it relays on the secondary data .The

    result are usually used for making decision by themselves.

    POPULATION

    All the companies are taken from banking sector in the equity market listed in Bombay

    Stock Exchange constitute population as far as my study is concern.

    SAMPLING TECHNIQUES

    The samples are chosen from the BSE India site, which actively traded Banking

    companies in the past five years.

    No of Years 5 Years

    No of sector 1 Sector

    No of banks 10 banks

    Sample Size

    Five years financial data collected from the Banking sectors and 10 companies have been

    selected.

    Period taken for the study : 1.4.2005 to 31.3.2010.

    Sector for study : Banking sector.

  • 7/31/2019 Dinesh Finance

    23/67

    23

    SELECTED COMPANIES INBANKING SECTOR

    1. Allahabad bank

    2. Union Bank

    3. Syndicate Bank

    4. Canara Bank

    5. Indian Overseas Bank

    6. Fedaral Bank

    7. Uco Bank

    8. Bank of India

    9. Andra Bank

    10. ICICI Bank

    DATA SOURCE

    While deciding about the method of data collection for the study the researcher should keep

    in mind the two sources of data.

    Secondary data

    The source taken for study is,

    Secondary Data

    Secondary data are also collected through the BSE India sites and websites

    of various companies

    Review of the articles being published on the topic in various magazines

    The information in the BSE India has helped to analyze the price changes.

    STATISTICAL TOOLS

  • 7/31/2019 Dinesh Finance

    24/67

    24

    The data are analyzed through statistical method. There are various statistical tools to

    analysis the data.

    Correlation

    Beta

    Simple Moving Average.

    Technical indicator:

    Line Chart.

    SIMPLE MOVING AVERAGE

    An average is the sum of prices of the share over some weekly periods divided by the

    number of weeks. This point is market on the latest date for which a price bar has been plotted.

    This process is repeated for the previous dates. The points thus obtained are connected together to

    give the moving average line.

    CORRELATION

    Correlation analysis helps to determine the strength of the linear relationship between the

    two variables X and Y, in other words, as to how strongly are these two variables correlated. Karl

    Pearson, in 1896, developed an Index or Coefficient of this association in cases where the

    relationship is a linear one, i.e. where the trend of the relationship can be described by a straight

    line.

    The Pearsons coefficient of correlation is designated by r. The coefficient of correlation r

    can be designed as a measure of strength of the linear relationship between the two variables X and

    Y.

  • 7/31/2019 Dinesh Finance

    25/67

    25

    Thesign of the coefficient can be positive or negative. It is positive when the slope of the

    line is positive and it is negative when the slope of the line is negative.

    The Coefficient of Correlation (r)

    r = 2222 )Y(Yn)X(Xn

    )Y()X()XY(n

    BETA

    Risk is an important consideration in holding any portfolio. The risk in holding securities is

    generally associated with the possibility that realised returns will be less than the returns expected.

    Risks can be classified as Systematic risks and Unsystematic risks.

    Unsystematic risks:

    These are risks that are unique to a firm or industry. Factors such as management

    capability, consumer preferences, labour, etc. contribute to unsystematic risks. Unsystematic

    risks are controllable by nature and can be considerably reduced by sufficiently diversifying

    one's portfolio.

    Systematic risks:

    These are risks associated with the economic, political, sociological and other macro-level

    changes. They affect the entire market as a whole and cannot be controlled or eliminated merely by

    diversifying one's portfolio.

    BETA

    The degree, to which different portfolios are affected by these systematic risks as

    compared to the effect on the market as a whole, is different and is measured by Beta. To put it

  • 7/31/2019 Dinesh Finance

    26/67

    26

    differently, the systematic risks of various securities differ due to their relationships with the

    market. The Beta factor describes the movement in a stock's or a portfolio's return in relation to

    that of the market returns. For all practical purposes, the market returns are measured by the

    returns on the index (Nifty, Mid-cap etc.), since the index is a good reflector of the market.

    Beta is calculated as:

    where,

    Y is the returns on your portfolio or stock - DEPENDENT VARIABLEX is the market returns or index - INDEPENDENT VARIABLE

    Variance is the square of standard deviation.

    Covariance is a statistic that measures how two variables co-vary, and is given by:

    Where, N denotes the total number of observations, and and respectively represent the

    arithmetic averages of x and y.

    In order to calculate the beta of a portfolio, multiply the weightage of each stock in the portfolio

    with its beta value to arrive at the weighted average beta of the portfolio.

    DATA ANALYSIS AND INTERPRETATION

    MOVING AVERAGE OF ALLAHABAD BANK

    BANK DATE CLOSING MOVING AVG

    Allahabad bank 2010-Mar 142.5

    Allahabad bank 2010-Feb 132.65

    Allahabad bank 2010-Jan 141.25 138.8

    Allahabad bank 2009-Dec 126.1 133.33

    Allahabad bank 2009-Nov 133.35 133.56

  • 7/31/2019 Dinesh Finance

    27/67

    27

    Allahabad bank 2009-Oct 119.2 126.27

    Allahabad bank 2009-Sep 119.35 123.96

    Allahabad bank 2009-Aug 88.65 109.06

    Allahabad bank 2009-Jul 88.4 98.8

    Allahabad bank 2009-Jun 77.65 84.9

    Allahabad bank 2009-May 86.25 84.1

    Allahabad bank 2009-Apr 52.5 72.13

    Allahabad bank 2009-Mar 38.85 59.2

    Allahabad bank 2009-Feb 40.1 43.87

    Allahabad bank 2009-Jan 49.05 42.66

    Allahabad bank 2008-Dec 52.05 47.03

    Allahabad bank 2008-Nov 46.25 49.17

    Allahabad bank 2008-Oct 48.7 49

    Allahabad bank 2008-Sep 62.8 52.58

    Allahabad bank 2008-Aug 62.8 58.1

    Allahabad bank 2008-Jul 59.75 61.78

    Allahabad bank 2008-Jun 55.65 59.4

    Allahabad bank 2008-May 80.55 65.37Allahabad bank 2008-Apr 84.45 73.55

    Allahabad bank 2008-Mar 76.65 56.4

    Allahabad bank 2008-Feb 110.15 90.47

    Allahabad bank 2008-Jan 110.95 99.25

    Allahabad bank 2007-Dec 119.1 113.37

    Allahabad bank 2007-Nov 111.9 113.78

    Allahabad bank 2007-Oct 102.55 108.57

    Allahabad bank 2007-Sep 107.55 107.33

    Allahabad bank 2007-Aug 90.6 100.23

    Allahabad bank 2007-Jul 95.55 97.9

    Allahabad bank 2007-Jun 82 89.38

    Allahabad bank 2007-May 85.45 87.66Allahabad bank 2007-Apr 79.4 82.28

    Allahabad bank 2007-Mar 72.7 79.08

    Allahabad bank 2007-Feb 76.1 76.06

    Allahabad bank 2007-Jan 90.65 79.87

    Allahabad bank 2006-Dec 88.7 85.15

    Allahabad bank 2006-Nov 91.95 90.43

    Allahabad bank 2006-Oct 93 91.27

    Allahabad bank 2006-Sep 88.3 91.08

    Allahabad bank 2006-Aug 73.3 84.86

    Allahabad bank 2006-Jul 64.55 75.38

    Allahabad bank 2006-Jun 63.9 67.25

    Allahabad bank 2006-May 81.35 69.93

    Allahabad bank 2006-Apr 76.15 73.8

    Allahabad bank 2006-Mar 78.95 78.87

    Allahabad bank 2006-Feb 80.85 78.65

    Allahabad bank 2006-Jan 83.9 81.23

    Allahabad bank 2005-Dec 83.25 82.66

    Allahabad bank 2005-Nov 78.3 81.81

    Allahabad bank 2005-Oct 78.9 80.15

  • 7/31/2019 Dinesh Finance

    28/67

    28

    Allahabad bank 2005-Sep 91.6 82.93

    Allahabad bank 2005-Aug 87.7 58.73

    Allahabad bank 2005-Jul 94.05 91.17

    Allahabad bank 2005-Jun 81 87.58

    Allahabad bank 2005-May 85 86.68

    Allahabad bank 2005-Apr 78.1 81.37

    INFERENCE

    From the above table found that

    The closing price of ALLAHABAD BANK as on APRIL 2005 is 78.1 which is below its

    moving average (81.37). Hence it has been trending down.

    Therefore the security generates sell signal.

  • 7/31/2019 Dinesh Finance

    29/67

    29

    MOVING AVERAGE OF UNION BANK

    Bank DATE CLOSING MOVING AVG

    Union bank 2010-Mar 292.95

    Union bank 2010-Feb 256.05

    Union bank 2010-Jan 254.75 267.97

    Union bank 2009-Dec 264 288.26

    Union bank 2009-Nov 276.95 265.23

    Union bank 2009-Oct 262.15 267.7

    Union bank 2009-Sep 239.9 259.66

    Union bank 2009-Aug 214.3 238.78

    Union bank 2009-Jul 233.7 229.3

    Union bank 2009-Jun 241.25 229.75

    Union bank 2009-May 204.1 226.35

    Union bank 2009-Apr 164.15 177.45

    Union bank 2009-Mar 147.25 171.83

    Union bank 2009-Feb 129.6 147

    Union bank 2009-Jan 147.7 141.32

    Union bank 2008-Dec 163 146.76Union bank 2008-Nov 148.8 153.16

    Union bank 2008-Oct 125.2 145.66

    Union bank 2008-Sep 143.5 139.16

    Union bank 2008-Aug 143.35 137.35

    Union bank 2008-Jul 131.95 139.6

    Union bank 2008-Jun 109.4 128.23

    Union bank 2008-May 137.5 126.09

    Union bank 2008-Apr 160.4 135.76

    Union bank 2008-Mar 141 146.3

    Union bank 2008-Feb 185.65 162.35

    Union bank 2008-Jan 191.45 172.7

    Union bank 2007-Dec 206.35 194.48

    Union bank 2007-Nov 177.2 191.66

    Union bank 2007-Oct 173.95 185.83

    Union bank 2007-Sep 163.3 171.48

    Union bank 2007-Aug 136.4 157.88

    Union bank 2007-Jul 155.65 151.78

    Union bank 2007-Jun 132.3 141.45

    Union bank 2007-May 120.55 136.16

  • 7/31/2019 Dinesh Finance

    30/67

    30

    Union bank 2007-Apr 106.85 119.9

    Union bank 2007-Mar 103.9 110.43

    Union bank 2007-Feb 97.9 102.88

    Union bank 2007-Jan 111.25 104.35

    Union bank 2006-Dec 122.65 110.6

    Union bank 2006-Nov 128.65 120.85

    Union bank 2006-Oct 129.5 129.26

    Union bank 2006-Sep 136.35 132.5

    Union bank 2006-Aug 116.9 127.58

    Union bank 2006-Jul 102.05 118.43

    Union bank 2006-Jun 90.4 103.11

    Union bank 2006-May 107 99.82

    Union bank 2006-Apr 116.4 104.6

    Union bank 2006-Mar 121.85 115.08

    Union bank 2006-Feb 122.2 120.15

    Union bank 2006-Jan 123.9 122.65

    Union bank 2005-Dec 122.1 122.73

    Union bank 2005-Nov 112.2 119.4Union bank 2005-Oct 113.15 115.81

    Union bank 2005-Sep 134.7 120.01

    Union bank 2005-Aug 134.6 127.48

    Union bank 2005-Jul 134.2 134.5

    Union bank 2005-Jun 108 125.6

    Union bank 2005-May 104.8 115.66

    Union bank 2005-Apr 96.7 103.16

    INFERENCE

    From the above table found that

    The closing price of UNION BANK as on APRIL 2005 is 96.7 which is below its moving

    average (103.16). Hence it has been trending down.

    Therefore the security generates sell signal.

  • 7/31/2019 Dinesh Finance

    31/67

    31

    MOVING AVERAGE OF SYNDICATE BANK

    BANK DATE CLOSING MOVING AVGSyndicate bank 2010-Mar 86.05

    Syndicate bank 2010-Feb 83.6

    Syndicate bank 2010-Jan 85.65 85.1

    Syndicate bank 2009-Dec 95.95 88.4

    Syndicate bank 2009-Nov 90.85 90.81

    Syndicate bank 2009-Oct 86.9 91.23

    Syndicate bank 2009-Sep 93.35 90.36

    Syndicate bank 2009-Aug 79.35 86.53

    Syndicate bank 2009-Jul 83.4 85.36Syndicate bank 2009-Jun 71.85 78.2

    Syndicate bank 2009-May 79.05 78.1

    Syndicate bank 2009-Apr 57.35 69.41

    Syndicate bank 2009-Mar 48 61.46

    Syndicate bank 2009-Feb 49.35 51.56

    Syndicate bank 2009-Jan 61.65 53

  • 7/31/2019 Dinesh Finance

    32/67

    32

    Syndicate bank 2008-Dec 62.8 57.93

    Syndicate bank 2008-Nov 54.1 59.51

    Syndicate bank 2008-Oct 49.7 55.53

    Syndicate bank 2008-Sep 65.1 56.3

    Syndicate bank 2008-Aug 59.35 58.05

    Syndicate bank 2008-Jul 53.3 59.25Syndicate bank 2008-Jun 51.15 54.6

    Syndicate bank 2008-May 69.7 58.05

    Syndicate bank 2008-Apr 74.65 65.16

    Syndicate bank 2008-Mar 75 73.11

    Syndicate bank 2008-Feb 98 82.55

    Syndicate bank 2008-Jan 92.4 88.46

    Syndicate bank 2007-Dec 114.85 88.46

    Syndicate bank 2007-Nov 101.8 103.03

    Syndicate bank 2007-Oct 89.1 101.91

    Syndicate bank 2007-Sep 92.25 94.38Syndicate bank 2007-Aug 78 86.45

    Syndicate bank 2007-Jul 83.25 84.5

    Syndicate bank 2007-Jun 76.65 79.3

    Syndicate bank 2007-May 76.85 78.91

    Syndicate bank 2007-Apr 73.85 75.78

    Syndicate bank 2007-Mar 63.95 71.55

    Syndicate bank 2007-Feb 67.8 68.53

    Syndicate bank 2007-Jan 73.65 68.46

    Syndicate bank 2006-Dec 74.9 72.11

    Syndicate bank 2006-Nov 81.4 76.65Syndicate bank 2006-Oct 81.25 79.18

    Syndicate bank 2006-Sep 90 84.22

    Syndicate bank 2006-Aug 75.85 82.36

    Syndicate bank 2006-Jul 66.55 77.46

    Syndicate bank 2006-Jun 49.95 64.11

    Syndicate bank 2006-May 68.85 61.78

    Syndicate bank 2006-Apr 80 66.26

    Syndicate bank 2006-Mar 89.35 79.4

    Syndicate bank 2006-Feb 93 87.45

    Syndicate bank 2006-Jan 96.95 93.1

    Syndicate bank 2005-Dec 83.35 91.1

    Syndicate bank 2005-Nov 84.3 88.2

    Syndicate bank 2005-Oct 74.5 80.71

    Syndicate bank 2005-Sep 86.7 81.83

    Syndicate bank 2005-Aug 77.65 79.61

    Syndicate bank 2005-Jul 73.8 79.38

    Syndicate bank 2005-Jun 55.5 68.98

  • 7/31/2019 Dinesh Finance

    33/67

    33

    Syndicate bank 2005-May 54.05 61.17

    Syndicate bank 2005-Apr 47.95 52.5

    INFERENCE

    From the above table found that

    The closing price of SYNDICATE BANK as on APRIL 2005 is 47.95 which is below its

    moving average (52.5). Hence it has been trending down.

    Therefore the security generates sell signal.

  • 7/31/2019 Dinesh Finance

    34/67

    34

    MOVING AVERAGE OF CANARA BANK

    BANK DATE CLOSING MOVING AVGCanara bank 20010-Mar 410.35

    Canara bank 20010-Feb 391.95

    Canara bank 20010-Jan 390.45 397.58

    Canara bank 2009-Dec 390.75 391.05

    Canara bank 2009-Nov 396.25 392.48

    Canara bank 2009-Oct 341.2 376.07

    Canara bank 2009-Sep 321.75 353.07

    Canara bank 2009-Aug 266.35 309.77

    Canara bank 2009-Jul 285.5 291.2

    Canara bank 2009-Jun 263.95 271.93

    Canara bank 2009-May 283.95 277.8

    Canara bank 2009-Apr 197.55 248.48

    Canara bank 2009-Mar 165.9 215.8

    Canara bank 2009-Feb 165.35 176.27

  • 7/31/2019 Dinesh Finance

    35/67

    35

    Canara bank 2009-Jan 180.25 170.5

    Canara bank 2008-Dec 187.8 177.8

    Canara bank 2008-Nov 169.05 179.03

    Canara bank 2008-Oct 165.25 174.03

    Canara bank 2008-Sep 188.75 174.35

    Canara bank 2008-Aug 215.5 189.83Canara bank 2008-Jul 183.75 196

    Canara bank 2008-Jun 178 192.42

    Canara bank 2008-May 216 192.58

    Canara bank 2008-Apr 237 210.33

    Canara bank 2008-Mar 225.2 226.06

    Canara bank 2008-Feb 278.1 246.76

    Canara bank 2008-Jan 289.45 264.25

    Canara bank 2007-Dec 332.05 299.86

    Canara bank 2007-Nov 271.45 297.65

    Canara bank 2007-Oct 292.95 298.82Canara bank 2007-Sep 278.2 280.87

    Canara bank 2007-Aug 244 271.72

    Canara bank 2007-Jul 261.75 261.32

    Canara bank 2007-Jun 269.65 258.47

    Canara bank 2007-May 244.2 258.53

    Canara bank 2007-Apr 217.65 243.83

    Canara bank 2007-Mar 194.7 218.85

    Canara bank 2007-Feb 210.5 207.62

    Canara bank 2007-Jan 241.1 215.43

    Canara bank 2006-Dec 276.2 242.6Canara bank 2006-Nov 297.75 271.68

    Canara bank 2006-Oct 294 289.32

    Canara bank 2006-Sep 284.15 291.97

    Canara bank 2006-Aug 221.2 266.45

    Canara bank 2006-Jul 196.65 234

    Canara bank 2006-Jun 200.8 206.22

    Canara bank 2006-May 229.25 208.9

    Canara bank 2006-Apr 246.15 676.2

    Canara bank 2006-Mar 266.9 247.43

    Canara bank 2006-Feb 286.15 266.4

    Canara bank 2006-Jan 249.15 267.4

    Canara bank 2005-Dec 240.55 258.62

    Canara bank 2005-Nov 209.75 233.15

    Canara bank 2005-Oct 201.95 217.41

    Canara bank 2005-Sep 231.95 214.55

    Canara bank 2005-Aug 224.6 219.5

    Canara bank 2005-Jul 252.1 267.57

  • 7/31/2019 Dinesh Finance

    36/67

    36

    Canara bank 2005-Jun 210.9 229.2

    Canara bank 2005-May 199.55 220.85

    Canara bank 2005-Apr 174.95 195.13

    INFERENCE

    From the above table found that

    The closing price of CANARA BANK as on APRIL 2005 is 174.95 which is below its

    moving average (195.13). Hence it has been trending down.

    Therefore the security generates sell signal.

  • 7/31/2019 Dinesh Finance

    37/67

    37

    MOVING AVERAGE OF INDIAN OVERSEAS BANK

    BANK DATE CLOSING MOVING AVG

    Indian Overseas Bank 2010-Mar 91.95

    Indian Overseas Bank 2010-Feb 88.1

    Indian Overseas Bank 2010-Jan 92.55 90.87

    Indian Overseas Bank 2009-Dec 110.55 97.06

    Indian Overseas Bank 2009-Nov 115.9 106.33

    Indian Overseas Bank 2009-Oct 101.25 109.23

    Indian Overseas Bank 2009-Sep 126.65 114.6

    Indian Overseas Bank 2009-Aug 84.25 104.5

    Indian Overseas Bank 2009-Jul 87.55 99.48

    Indian Overseas Bank 2009-Jun 86.65 86.15

    Indian Overseas Bank 2009-May 91 88.4

    Indian Overseas Bank 2009-Apr 64.3 80.65

    Indian Overseas Bank 2009-Mar 45.5 66.93

    Indian Overseas Bank 2009-Feb 46.15 38.65

  • 7/31/2019 Dinesh Finance

    38/67

    38

    Indian Overseas Bank 2009-Jan 60.95 50.86

    Indian Overseas Bank 2008-Dec 71.75 59.61

    Indian Overseas Bank 2008-Nov 62.5 65.06

    Indian Overseas Bank 2008-Oct 73.6 69.28

    Indian Overseas Bank 2008-Sep 91.7 75.93

    Indian Overseas Bank 2008-Aug 90.35 85.21Indian Overseas Bank 2008-Jul 84.5 88.85

    Indian Overseas Bank 2008-Jun 79.8 84.88

    Indian Overseas Bank 2008-May 115.75 93.35

    Indian Overseas Bank 2008-Apr 148.2 114.58

    Indian Overseas Bank 2008-Mar 135.2 133.05

    Indian Overseas Bank 2008-Feb 165.1 149.5

    Indian Overseas Bank 2008-Jan 162.2 120.8

    Indian Overseas Bank 2007-Dec 178.7 168.6

    Indian Overseas Bank 2007-Nov 164.45 168.45

    Indian Overseas Bank 2007-Oct 133.4 158.85Indian Overseas Bank 2007-Sep 144.3 147.38

    Indian Overseas Bank 2007-Aug 122.2 133.3

    Indian Overseas Bank 2007-Jul 127.2 131.23

    Indian Overseas Bank 2007-Jun 117.65 122.35

    Indian Overseas Bank 2007-May 112.15 119.16

    Indian Overseas Bank 2007-Apr 116.9 115.56

    Indian Overseas Bank 2007-Mar 103 110.6

    Indian Overseas Bank 2007-Feb 102.9 107.6

    Indian Overseas Bank 2007-Jan 118.4 108.1

    Indian Overseas Bank 2006-Dec 110.7 110.66Indian Overseas Bank 2006-Nov 118.15 115.75

    Indian Overseas Bank 2006-Oct 118.15 115.6

    Indian Overseas Bank 2006-Sep 109.4 115.2

    Indian Overseas Bank 2006-Aug 92 106.51

    Indian Overseas Bank 2006-Jul 89.65 97.01

    Indian Overseas Bank 2006-Jun 84.1 88.58

    Indian Overseas Bank 2006-May 84.25 76

    Indian Overseas Bank 2006-Apr 98.35 88.9

    Indian Overseas Bank 2006-Mar 96.95 93.18

    Indian Overseas Bank 2006-Feb 101.85 99.05

    Indian Overseas Bank 2006-Jan 111.85 103.55

    Indian Overseas Bank 2005-Dec 92.75 102.15

    Indian Overseas Bank 2005-Nov 92.7 99.1

    Indian Overseas Bank 2005-Oct 90.85 92.1

    Indian Overseas Bank 2005-Sep 93.75 92.43

    Indian Overseas Bank 2005-Aug 88.8 91.13

    Indian Overseas Bank 2005-Jul 88.15 90.23

  • 7/31/2019 Dinesh Finance

    39/67

    39

    Indian Overseas Bank 2005-Jun 74.05 83.66

    Indian Overseas Bank 2005-May 77 79.85

    Indian Overseas Bank 2005-Apr 70.75 73.93

    INFERENCE

    From the above table found that

    The closing price of INDIAN OVERSEAS BANK as on APRIL 2005 is 70.75 which is

    below its moving average (73.93). Hence it has been trending down.

    Therefore the security generates sell signal.

  • 7/31/2019 Dinesh Finance

    40/67

    40

    MOVING AVERAGE OF FEDERAL BANK

    BANK DATE CLOSING MOVING AVG

    Federal bank 2010-Mar 266.95

    Federal bank 2010-Feb 257.25

    Federal bank 2010-Jan 255.35 259.85

    Federal bank 2009-Dec 235.75 249.45

    Federal bank 2009-Nov 235.2 242.1

    Federal bank 2009-Oct 240.15 237.03

    Federal bank 2009-Sep 251.75 242.3

    Federal bank 2009-Aug 219.75 237.21

    Federal bank 2009-Jul 240.2 237.23

    Federal bank 2009-Jun 248.2 236.05

    Federal bank 2009-May 246.6 224.6

    Federal bank 2009-Apr 187 227.26

    Federal bank 2009-Mar 138.1 190.56

    Federal bank 2009-Feb 124.05 149.71

    Federal bank 2009-Jan 140.05 134.05

    Federal bank 2008-Dec 160.25 141.45

    Federal bank 2008-Nov 134.3 144.86

    Federal bank 2008-Oct 128.05 140.86

    Federal bank 2008-Sep 204.5 155.61

    Federal bank 2008-Aug 214.75 182.43

    Federal bank 2008-Jul 191.45 203.4

    Federal bank 2008-Jun 182 196.06

    Federal bank 2008-May 219.35 197.6

    Federal bank 2008-Apr 240.25 213.86

    Federal bank 2008-Mar 216.3 225.3

    Federal bank 2008-Feb 296.95 251.16Federal bank 2008-Jan 310.9 274.71

    Federal bank 2007-Dec 335.95 314.6

    Federal bank 2007-Nov 315.15 320.93

    Federal bank 2007-Oct 390.25 347.11

    Federal bank 2007-Sep 372.05 359.15

    Federal bank 2007-Aug 344 368.7

  • 7/31/2019 Dinesh Finance

    41/67

    41

    Federal bank 2007-Jul 356 357.35

    Federal bank 2007-Jun 302.05 334.01

    Federal bank 2007-May 267 308.35

    Federal bank 2007-Apr 243.6 270.88

    Federal bank 2007-Mar 215.55 242.05

    Federal bank 2007-Feb 220.45 226.53Federal bank 2007-Jan 248 228

    Federal bank 2006-Dec 218.25 228.91

    Federal bank 2006-Nov 217.05 227.76

    Federal bank 2006-Oct 217.75 217.68

    Federal bank 2006-Sep 211.75 215.51

    Federal bank 2006-Aug 195.75 208.4

    Federal bank 2006-Jul 175.05 194.18

    Federal bank 2006-Jun 166.25 179.01

    Federal bank 2006-May 189 176.76

    Federal bank 2006-Apr 208.6 187.95Federal bank 2006-Mar 201.65 199.75

    Federal bank 2006-Feb 172.6 194.08

    Federal bank 2006-Jan 180.65 184.96

    Federal bank 2005-Dec 182.35 178.53

    Federal bank 2005-Nov 174.85 179.28

    Federal bank 2005-Oct 161.1 172.76

    Federal bank 2005-Sep 188.9 174.83

    Federal bank 2005-Aug 183.8 177.9

    Federal bank 2005-Jul 183.6 185.43

    Federal bank 2005-Jun 158.6 175.3Federal bank 2005-May 166 169.4

    Federal bank 2005-Apr 142.4 155.66

    INFERENCE

    From the above table found that

    The closing price of FEDERAL BANK as on APRIL 2005 is 142.4 which is below its

    moving average (155.6). Hence it has been trending down.

    Therefore the security generates sell signal

  • 7/31/2019 Dinesh Finance

    42/67

    42

    MOVING AVERAGE OF UCO BANK

    BANK DATE CLOSING MOVING AVG

    Uco Bank 2010-Mar 56.75

    Uco Bank 2010-Feb 56.8

    Uco Bank 2010-Jan 62.45 58.67

    Uco Bank 2009-Dec 55.3 58.18

    Uco Bank 2009-Nov 55.8 57.85

    Uco Bank 2009-Oct 50.3 53.8

    Uco Bank 2009-Sep 56.6 54.23

  • 7/31/2019 Dinesh Finance

    43/67

    43

    Uco Bank 2009-Aug 43.5 50.13

    Uco Bank 2009-Jul 42.55 47.55

    Uco Bank 2009-Jun 40.15 42.06

    Uco Bank 2009-May 43.7 42.13

    Uco Bank 2009-Apr 28.3 37.38

    Uco Bank 2009-Mar 24.2 32.06Uco Bank 2009-Feb 25.85 26.11

    Uco Bank 2009-Jan 27.75 25.93

    Uco Bank 2008-Dec 28.55 27.38

    Uco Bank 2008-Nov 25.4 27.23

    Uco Bank 2008-Oct 28.9 27.61

    Uco Bank 2008-Sep 34.5 29.6

    Uco Bank 2008-Aug 38.3 33.9

    Uco Bank 2008-Jul 33.75 35.52

    Uco Bank 2008-Jun 32 34.68

    Uco Bank 2008-May 40.5 35.42Uco Bank 2008-Apr 42.35 38.28

    Uco Bank 2008-Mar 36.95 39.93

    Uco Bank 2008-Feb 50 43.1

    Uco Bank 2008-Jan 58.6 48.52

    Uco Bank 2007-Dec 59.15 55.92

    Uco Bank 2007-Nov 56.15 57.97

    Uco Bank 2007-Oct 41.85 52.38

    Uco Bank 2007-Sep 48.3 48.77

    Uco Bank 2007-Aug 32 40.72

    Uco Bank 2007-Jul 27.55 35.95Uco Bank 2007-Jun 23.75 27.76

    Uco Bank 2007-May 24 25.1

    Uco Bank 2007-Apr 24 23.92

    Uco Bank 2007-Mar 21.5 23.16

    Uco Bank 2007-Feb 21.3 22.26

    Uco Bank 2007-Jan 23.15 21.98

    Uco Bank 2006-Dec 21.2 21.88

    Uco Bank 2006-Nov 22.65 22.33

    Uco Bank 2006-Oct 23.2 22.35

    Uco Bank 2006-Sep 22.7 22.85

    Uco Bank 2006-Aug 18.9 21.6

    Uco Bank 2006-Jul 17.3 19.63

    Uco Bank 2006-Jun 16.9 17.7

    Uco Bank 2006-May 24.1 19.43

    Uco Bank 2006-Apr 25.7 22.23

    Uco Bank 2006-Mar 26.5 25.43

    Uco Bank 2006-Feb 26.45 26.88

  • 7/31/2019 Dinesh Finance

    44/67

    44

    Uco Bank 2006-Jan 26.05 26.33

    Uco Bank 2005-Dec 25.2 25.9

    Uco Bank 2005-Nov 25.3 25.52

    Uco Bank 2005-Oct 25.95 25.48

    Uco Bank 2005-Sep 30.05 27.1

    Uco Bank 2005-Aug 31.25 29.08Uco Bank 2005-Jul 31 30.77

    Uco Bank 2005-Jun 26.95 29.73

    Uco Bank 2005-May 28.15 28.7

    Uco Bank 2005-Apr 28.15 27.75

    INFERENCE

    From the above table found that

    The closing price of UCO BANK as on APRIL 2005 is 28.15 which is above its moving

    average (27.75). Hence it has been trending up.

    Therefore the security generates buy signal

  • 7/31/2019 Dinesh Finance

    45/67

    45

    MOVING AVERAGE OF BANK OF INDIA

    BANK DATE CLOSING MOVING AVG

    Bank of India 2010-Mar 340.75

    Bank of India 2010-Feb 333.6

    Bank of India 2010-Jan 364.65 346.33

    Bank of India 2009-Dec 385 361.08

    Bank of India 2009-Nov 383.55 377.53

    Bank of India 2009-Oct 333.6 367.38

    Bank of India 2009-Sep 412.05 376.4Bank of India 2009-Aug 337.4 361.02

    Bank of India 2009-Jul 329.65 359.7

    Bank of India 2009-Jun 352.25 339.76

    Bank of India 2009-May 337.85 339.92

    Bank of India 2009-Apr 235.15 308.42

    Bank of India 2009-Mar 219.9 264.3

    Bank of India 2009-Feb 225.25 226.77

  • 7/31/2019 Dinesh Finance

    46/67

    46

    Bank of India 2009-Jan 249.15 231.43

    Bank of India 2008-Dec 287.7 254.03

    Bank of India 2008-Nov 250.35 262.4

    Bank of India 2008-Oct 240.7 259.58

    Bank of India 2008-Sep 282.6 257.88

    Bank of India 2008-Aug 267.35 263.55

    Bank of India 2008-Jul 271.5 273.82

    Bank of India 2008-Jun 216.65 251.83

    Bank of India 2008-May 295 261.05

    Bank of India 2008-Apr 342.65 287.77

    Bank of India 2008-Mar 252.9 296.85

    Bank of India 2008-Feb 359.55 318.36

    Bank of India 2008-Jan 354.85 322.43

    Bank of India 2007-Dec 365.45 359.95

    Bank of India 2007-Nov 350.7 357

    Bank of India 2007-Oct 357.3 357.82

    Bank of India 2007-Sep 276.9 328.3

    Bank of India 2007-Aug 244.6 292.93Bank of India 2007-Jul 258.55 260.02

    Bank of India 2007-Jun 232.75 245.3

    Bank of India 2007-May 210 233.76

    Bank of India 2007-Apr 191.65 211.46

    Bank of India 2007-Mar 167.8 189.81

    Bank of India 2007-Feb 161.8 173.75

    Bank of India 2007-Jan 190.9 173.5

    Bank of India 2006-Dec 207.9 186.86

    Bank of India 2006-Nov 200.95 199.91

    Bank of India 2006-Oct 173.6 194.15

    Bank of India 2006-Sep 162.15 178.9

    Bank of India 2006-Aug 142.65 159.46Bank of India 2006-Jul 110.9 138.56

    Bank of India 2006-Jun 101.9 118.48

    Bank of India 2006-May 114.05 108.95

    Bank of India 2006-Apr 121.3 112.41

    Bank of India 2006-Mar 132 122.45

    Bank of India 2006-Feb 133.65 128.98

    Bank of India 2006-Jan 129.75 131.8

    Bank of India 2005-Dec 127.55 130.32

    Bank of India 2005-Nov 110.7 122.66

    Bank of India 2005-Oct 106.75 115

    Bank of India 2005-Sep 122.55 113.33

    Bank of India 2005-Aug 118.75 116.01

    Bank of India 2005-Jul 140.85 127.38

    Bank of India 2005-Jun 102.65 120.75

    Bank of India 2005-May 101.2 114.9

    Bank of India 2005-Apr 81.95 95.26

  • 7/31/2019 Dinesh Finance

    47/67

    47

    INFERENCE

    From the above table found that

    The closing price of BANK OF INDIA as on APRIL 2005 is 81.95 which is below its

    moving average (95.26). Hence it has been trending down.

    Therefore the security generates sell signal

  • 7/31/2019 Dinesh Finance

    48/67

    48

    MOVING AVERAGE OF ANDHRA BANK

    BANK DATE CLOSING MOVING AVG

    Andhra Bank 2010-Mar 108.1

    Andhra Bank 2010-Feb 98.85

    Andhra Bank 2010-Jan 106.05 104.33

    Andhra Bank 2009-Dec 104.35 103.08

    Andhra Bank 2009-Nov 114.35 108.25

    Andhra Bank 2009-Oct 112.55 110.41

    Andhra Bank 2009-Sep 105.8 110.9

    Andhra Bank 2009-Aug 89.35 102.55

    Andhra Bank 2009-Jul 92.25 95.8

    Andhra Bank 2009-Jun 82 87.86

    Andhra Bank 2009-May 94.9 89.71Andhra Bank 2009-Apr 55.45 77.45

    Andhra Bank 2009-Mar 44.95 65.1

    Andhra Bank 2009-Feb 43 57.8

    Andhra Bank 2009-Jan 55.05 47.66

    Andhra Bank 2008-Dec 55.1 51.05

    Andhra Bank 2008-Nov 55 55.05

    Andhra Bank 2008-Oct 42.35 50.8

    Andhra Bank 2008-Sep 55 50.78

    Andhra Bank 2008-Aug 55.95 51.1

    Andhra Bank 2008-Jul 53.4 54.78Andhra Bank 2008-Jun 54.95 54.76

    Andhra Bank 2008-May 75.75 61.36

    Andhra Bank 2008-Apr 81.85 72.18

    Andhra Bank 2008-Mar 74.1 77.23

    Andhra Bank 2008-Feb 90.55 82.16

    Andhra Bank 2008-Jan 91.05 85.23

    Andhra Bank 2007-Dec 105.8 95.8

    Andhra Bank 2007-Nov 100.05 98.96

    Andhra Bank 2007-Oct 88.4 98.23

    Andhra Bank 2007-Sep 104.55 97.66

    Andhra Bank 2007-Aug 85.25 92.73

    Andhra Bank 2007-Jul 85.15 91.65

    Andhra Bank 2007-Jun 86.2 85.53

    Andhra Bank 2007-May 87.2 86.18

    Andhra Bank 2007-Apr 81.5 84.96

    Andhra Bank 2007-Mar 76.05 81.58

    Andhra Bank 2007-Feb 77.2 78.25

  • 7/31/2019 Dinesh Finance

    49/67

    49

    Andhra Bank 2007-Jan 88.05 80.43

    Andhra Bank 2006-Dec 86.6 83.95

    Andhra Bank 2006-Nov 89.45 88.03

    Andhra Bank 2006-Oct 93.3 89.78

    Andhra Bank 2006-Sep 95.25 92.66

    Andhra Bank 2006-Aug 87.35 91.96Andhra Bank 2006-Jul 73.9 85.5

    Andhra Bank 2006-Jun 62.5 74.58

    Andhra Bank 2006-May 72.25 69.5

    Andhra Bank 2006-Apr 78.35 71.03

    Andhra Bank 2006-Mar 80.8 77.13

    Andhra Bank 2006-Feb 87.6 81.98

    Andhra Bank 2006-Jan 92.85 87.08

    Andhra Bank 2005-Dec 92.3 90.91

    Andhra Bank 2005-Nov 92.8 92.65

    Andhra Bank 2005-Oct 86.7 90.6Andhra Bank 2005-Sep 103.8 94.43

    Andhra Bank 2005-Aug 94.05 94.85

    Andhra Bank 2005-Jul 109.8 102.56

    Andhra Bank 2005-Jun 94.3 98.38

    Andhra Bank 2005-May 99.9 101.33

    Andhra Bank 2005-Apr 93.2 95.8

    INFERENCE

    From the above table found that

    The closing price of ANDHRA BANK as on APRIL 2005 is 93.2 which is below its

    moving average (95.8). Hence it has been trending down.

    Therefore the security generates sell signal

  • 7/31/2019 Dinesh Finance

    50/67

    50

    MOVING AVERAGE OF I C I C I B A N K

    BANK DATE CLOSING MOVING AVG

    ICICI BANK 2010-Mar 952.7

    ICICI BANK 2010-Feb 871.85

    ICICI BANK 2010-Jan 830.4 866.98

    ICICI BANK 2009-Dec 875.7 859.31

    ICICI BANK 2009-Nov 864.3 856.8

    ICICI BANK 2009-Oct 789.6 843.2ICICI BANK 2009-Sep 904.8 852.9

    ICICI BANK 2009-Aug 749.5 814.63

    ICICI BANK 2009-Jul 759.05 804.45

    ICICI BANK 2009-Jun 722 743.51

    ICICI BANK 2009-May 740.7 740.58

    ICICI BANK 2009-Apr 477.75 646.81

  • 7/31/2019 Dinesh Finance

    51/67

    51

    ICICI BANK 2009-Mar 332.6 517.01

    ICICI BANK 2009-Feb 328.1 379.48

    ICICI BANK 2009-Jan 416.3 359

    ICICI BANK 2008-Dec 448.35 397.58

    ICICI BANK 2008-Nov 351.4 405.35

    ICICI BANK 2008-Oct 399.35 399.7ICICI BANK 2008-Sep 534.85 428.53

    ICICI BANK 2008-Aug 671.5 535.23

    ICICI BANK 2008-Jul 634.85 613.73

    ICICI BANK 2008-Jun 630.2 645.51

    ICICI BANK 2008-May 788.3 684.45

    ICICI BANK 2008-Apr 879.4 765.96

    ICICI BANK 2008-Mar 770.1 812.6

    ICICI BANK 2008-Feb 1,090.95 913.48

    ICICI BANK 2008-Jan 1,145.65 1002.23

    ICICI BANK 2007-Dec 1,232.40 1156.33ICICI BANK 2007-Nov 1,184.65 1187.56

    ICICI BANK 2007-Oct 1,257.00 1224.68

    ICICI BANK 2007-Sep 1,063.15 1168.26

    ICICI BANK 2007-Aug 884.65 1068.26

    ICICI BANK 2007-Jul 927.05 958.28

    ICICI BANK 2007-Jun 955.3 922.33

    ICICI BANK 2007-May 918.9 933.75

    ICICI BANK 2007-Apr 865.9 913.36

    ICICI BANK 2007-Mar 853.1 879.3

    ICICI BANK 2007-Feb 831.9 850.3ICICI BANK 2007-Jan 940.5 875.16

    ICICI BANK 2006-Dec 890.4 887.6

    ICICI BANK 2006-Nov 871.45 900.78

    ICICI BANK 2006-Oct 776.85 846.23

    ICICI BANK 2006-Sep 699.05 782.45

    ICICI BANK 2006-Aug 596.5 690.8

    ICICI BANK 2006-Jul 554.05 616.53

    ICICI BANK 2006-Jun 487.4 545.98

    ICICI BANK 2006-May 536.05 525.83

    ICICI BANK 2006-Apr 577.05 533.5

    ICICI BANK 2006-Mar 589.25 567.375

    ICICI BANK 2006-Feb 615.1 593.76

    ICICI BANK 2006-Jan 609.15 604.5

    ICICI BANK 2005-Dec 584.7 602.98

    ICICI BANK 2005-Nov 537.15 577

    ICICI BANK 2005-Oct 497.7 539.85

    ICICI BANK 2005-Sep 600.35 545.06

  • 7/31/2019 Dinesh Finance

    52/67

    52

    ICICI BANK 2005-Aug 481.7 526.58

    ICICI BANK 2005-Jul 536 539.35

    ICICI BANK 2005-Jun 421.55 479.75

    ICICI BANK 2005-May 392.05 449.86

    ICICI BANK 2005-Apr 360.2 391.26

    INFERENCE

    From the above table found that

    The closing price of ICICI BANK as on APRIL 2005 is 360.2 which is below its moving

    average (391.26). Hence it has been trending down.

    Therefore the security generates sell signal

  • 7/31/2019 Dinesh Finance

    53/67

    53

    THE TABLE SHOWING THE CORRELATION ANALYSIS OF BSE & NSE

    SHARE VALUS TOWARDS SCHEDULE BANKS

  • 7/31/2019 Dinesh Finance

    54/67

    54

    From the above table it is found that:

    ALLAHABAD BANK

    It is found that the ALLAHABAD BANK has LOW correlation

    The coefficient of determination is 0.99 that is 99% of the share price movements areexplained by the market indices.

    UNION BANK

    It is found that the UNION BANK has LOW correlation

    S.NO BANK BSE(X) NSE(Y) R R^2

    1 ALLAHABAD BANK 0.87407294

    9

    -0.01766 0.996 0.992016

    2 UNION BANK 70.6304491

    1

    -70.4649 0.992 0.984064

    3 SYNDICATE BANK 1.050798 3.279109 0.990 0.980100

    4 CANARA BANK -44.6801 -45.4077 0.997 0.994009

    5 IOB BANK 37.14347 40.31329 0.954 0.910116

    6 FEDERAL BANK -11.286 -10.5881 0.993 0.986049

    7 UCO BANK -11.0093 -10.4774 0.999 0.998001

    8 BANK OF INDIA -81.0803 -79.1967 0.992 0.984064

    9 ANDHRA BANK 40.28888 43.86577 0.993 0.986049

    10 ICICI BANK -35.6347 -37.1959 0.992 0.984064

  • 7/31/2019 Dinesh Finance

    55/67

    55

    The coefficient of determination is 0.98 that is 98% of the share price movements are

    explained by the market indices.

    SYNDICATE BANK

    It is found that the SYNDICATE BANK has LOW correlation

    The coefficient of determination is 0.980 that is 98% of the share price movements are

    explained by the market indices.

    CANARA BANK

    It is found that the CANARA BANK has LOW correlation

    The coefficient of determination is 0.99 that is 99% of the share price movements are

    explained by the market indices.

    IOB BANK

    It is found that the IOB BANK has LOW correlation

    The coefficient of determination is 0.91 that is 91% of the share price movements are

    explained by the market indices.

    FEDERAL BANK

  • 7/31/2019 Dinesh Finance

    56/67

    56

    It is found that the FEDERAL BANK has LOW correlation

    The coefficient of determination is 0.98 that is 98% of the share price movements are

    explained by the market indices.

    UCO BANK

    It is found that the UCO BANK has LOW correlation

    The coefficient of determination is 0.99 that is 99% of the share price movements are

    explained by the market indices.

    BANK OF INDIA

    It is found that the BANK OF INDIA has LOW correlation

    The coefficient of determination is 0.98 that is 98% of the share price movements are

    explained by the market indices.

    ANDHRA BANK

    It is found that the ANDHRA BANK has LOW correlation

    The coefficient of determination is 0.98 that is 98% of the share price movements are

    explained by the market indices.

    ICICIBANK

    It is found that the ICICI BANK has LOW correlation

  • 7/31/2019 Dinesh Finance

    57/67

    57

    The coefficient of determination is 0.98 that is 98% of the share price movements are

    explained by the market indices.

    BETA FOR BANKING INDUSTRY

  • 7/31/2019 Dinesh Finance

    58/67

    58

    ALLAHABAD BANK

    The beta value of ALLAHABAD BANK is 0.985 which is less than 1. Hence the share is

    less volatile and less risky.

    UNION BANK

    S.NO BANK COVARIENCE VARIENCE BETA

    1 ALLAHABAD BANK 208.1035 211.1001 0.985805

    2 UNION BANK 134.5898 137.6983 0.977425

    3 SYNDICATE BANK 211.8874 212.3227 0.99795

    4 CANARA BANK 129.9752 133.6267 0.972674

    5 IOB BANK 212.9854 220.7114 0.964995

    6 FEDERAL BANK 190.683 195.0913 0.977404

    7 UCO BANK 195.841 199.215 0.983063

    8 BANK OF INDIA 205.0056 207.6225 0.987396

    9 ANDHRA BANK 187.254 185.5904 1.008964

    10 ICICI BANK 203.702 210.9513 0.965635

  • 7/31/2019 Dinesh Finance

    59/67

    59

    The beta value of UNION BANK is 0.97 which is less than 1. Hence the share is less

    volatile and less risky.

    SYNDICATE BANK

    The beta value of SYNDICATE BANK is 0.997 which is less than 1. Hence the share is

    less volatile and less risky.

    CANARA BANK

    The beta value of CANARA BANK is 0.9726 which is less than 1. Hence the share is less

    volatile and less risky

    INDIAN OVERSEAS BANK

    The beta value of INDIAN OVERSEAS BANK is 0.9649 which is less than 1. Hence the

    share is less volatile and less risky

    FEDERALBANK

    The beta value of FEDERAL BANK is 0. 977 which is less than 1. Hence the share is less

    volatile and less risky

    UCO BANK

    The beta value of UCO BANK is 0. 987 which is less than 1. Hence the share is less

    volatile and less risky

    BANK OF INDIA

  • 7/31/2019 Dinesh Finance

    60/67

    60

    The beta value of BANK OF INDIAis 0. 9873 which is less than 1. Hence the share is less

    volatile and less risky

    ANDHRA BANK

    The beta value ofANDHRA BANK is 1.008 which is more than 1. Hence the share is high

    volatile and high risky

    ICICI BANK

    The beta value of ICICI BANK is 0.965 which is less than 1. Hence the share is less

    volatile and less risky

    FINDINGS AND SUGGESTION:

  • 7/31/2019 Dinesh Finance

    61/67

    61

    ALLAHABAD BANK

    It is found that the ALLAHABAD BANK has low correlation and the coefficient of

    determination is 0.98 that is 98% of the share price movements are explained by the market

    indices. The beta is less than one so the share is less risky and less volatile.

    It is found that the closing price of the company is below its moving average. So the

    company is in down trend.

    Even though the company is less risky one the company is in down trend. So it is better to

    sell the share.

    UNION BANK

    It is found that the UNION BANK has low correlation and the coefficient of determination

    is 0.97 that is 97% of the share price movements are explained by the market indices. The beta is

    less than one so the share is less risky and less volatile.

    It is found that the closing price of the company is above its moving average. So the

    company is in down trend.

    As the company has low risk and the trend is in down trend direction. So it is better to sell the

    share.

    SYNDICATE BANK

  • 7/31/2019 Dinesh Finance

    62/67

    62

    It is found that the SYNDICATE BANK has low correlation and the coefficient of

    determination is 0.99 that is 99% of the share price movements are explained by the market

    indices. The beta is less than one so the share is less risky and less volatile.

    It is found that the closing price of the company is above its moving average. So the

    company is in down trend.

    As the company has low risk and the trend is in down trend direction. So it is better to sell the

    share.

    CANARA BANK

    It is found that the CANARA BANK has low correlation and the coefficient of

    determination is 0.97 that is 97% of the share price movements are explained by the market

    indices. The beta is more than one so the share is less risky and less volatile.

    It is found that the closing price of the company is above its moving average. So the

    company is in down trend.

    Even though the company has high risk the trend is in down trend direction. So it is better to

    sell the share.

    INDIAN OVERSEAS BANK

  • 7/31/2019 Dinesh Finance

    63/67

    63

    It is found that the INDIAN OVERSEAS BANK has low correlation and the coefficient of

    determination is 0.96 that is 96% of the share price movements are explained by the market

    indices. The beta is less than one so the share is less risky and less volatile.

    It is found that the closing price of the company is below its moving average. So the

    company is in down trend.

    Even though the company is less risky one the company is in down trend. So it is better to

    sell the share.

    FEDERALBANK

    It is found that the FEDERALBANK has low correlation and the coefficient of

    determination is 0.97 that is 97% of the share price movements are explained by the market

    indices. The beta is less than one so the share is less risky and less volatile.

    It is found that the closing price of the company is above its moving average. So the

    company is in down trend.

    As the company has low risk and the trend is in down trend direction. So it is better to sell the

    share.

    UCO BANK

  • 7/31/2019 Dinesh Finance

    64/67

    64

    It is found that the UCO BANK has low correlation and the coefficient of determination is

    0.98 that is 98% of the share price movements are explained by the market indices. The beta is

    more than one so the share is less risky and less volatile.

    It is found that the closing price of the company is below its moving average. So the

    company is in upward trend.

    Even though the company has high risk the trend is in upward direction. So it is better to buy

    the share.

    BANK OF INDIA

    It is found that the BANK OF INDIA has low correlation and the coefficient of

    determination is 0.98 that is 98% of the share price movements are explained by the market

    indices. The beta is less than one so the share is less risky and less volatile.

    It is found that the closing price of the company is above its moving average. So the

    company is in down trend.

    As the company has low risk and the trend is in down trend direction. So it is better to sell the

    share.

    ANDHRA BANK

  • 7/31/2019 Dinesh Finance

    65/67

    65

    It is found that the ANDHRA BANK has low correlation and the coefficient of

    determination is 1.008 that share price movements are explained by the market indices. The beta is

    more than one so the share is high risky and high volatile.

    It is found that the closing price of the company is above its moving average. So the

    company is in down trend.

    Even though the company has high risk the trend is in down trend direction. So it is better to

    sell the share.

    ICICI BANK

    It is found that the ICICI BANK has low correlation and the coefficient of determination is

    0.96 that is 96% of the share price movements are explained by the market indices. The beta is less

    than one so the share is less risky and less volatile.

    It is found that the closing price of the company is above its moving average. So the

    company is in down trend.

    As the company has low risk and the trend is in down trend direction. So it is better to sell the

    share.

    CONCLUSION:

  • 7/31/2019 Dinesh Finance

    66/67

    66

    Equity market is often consider as the main engine deriving the economy equity

    market allow savers to acquire stake in firm and sell it if they need access to their savings or if they

    want to alter their portfolio at the same time it allows firms to rise permanent capital for asset

    creation. By incorporating information about future earnings potential in current stock prices, the

    equity market servers as a barrow meter to the stake of the economy. This makes the equity market

    an important constitutes of financial markets.

    Banking industry is characterized by wide price fluctuations and heavy trading it is

    caused by any news from the company. A recommendation from well known analysis a popular

    IPO or unexpected earning result.

    Wide price fluctuations are a daily occurrence on the worlds stock markets as

    investors react to economic business and political events market have been showing extremely

    erratic movements which are in no way tandem with the information that is fed to the markets.

    REFERENCE

  • 7/31/2019 Dinesh Finance

    67/67

    67

    .

    BOOKS:

    Richard I. Levin & David S. Rubin, STATISTICS FOR MANAGEMENT, Pearson

    Education, Seventh Edition, 2002.

    S.P. Gupta, statistical methods, thirty fifth revised edition, 2007

    C.R. Kothari, Research Methodology Methods and Techniques Wishwa Prakashan,

    Second Edition.

    WEBSITES:

    www. nseindia.com

    www.moneycontrol.com

    www.equitymarket.com

    www.investmentpedia.com

    www.yahoofinance.com