portfolio-theory-sharpe-index-model1-110921030315-phpapp02.ppt

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    SECURITY ANALYSIS &PORTFOLIO MGT.

    Sharpe Index Model

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    Group Members1. Esha Khosla 61

    2. Amit Goyal 623. Samarpit Nagpal 63

    4. Sakshi Sarin 64

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    THE SHARPE INDEX MODEL

    Generally, when the Sensex rises, stock prices

    also tend to increase and vice versa.

    Thus, stock prices are related to the market

    index and this relationship can be used to

    estimate the return on stock.

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    In that regard, the following equation can be used;

    Ri= i + iRm + ei

    where,

    Ri= expected return of security ii= alpha coefficient(intercept of the straight line)

    i= beta coefficient (slope of the straight line)

    Rm = the rate of return of market index

    ej =error term

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    According to the above equation, the

    return of a stock can be divided into

    two components;1)The return due to the market,

    2)The return independent of the

    market

    i of 1 indicates that the market

    return and security return aremoving in tandem.

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    The Sharpes Single Index Model is

    based on the assumption that stocks

    vary together because of the

    common movement in the stock

    market and there are no effects

    beyond the market(i.e. any

    fundamental factor effects) thataccount the stocks co-movement.

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    e expec e re urn, s an ar ev a on an co-var ance othe single index model represent the joint movement of

    securities.

    The mean return is:Ri= i + iRm + ei

    The variance of securitys return is:=im + ei

    The covariance of returns between securities i and j is:

    ij = ijm

    The variance of the security has two components:

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    1)Systematic risk is the variance explained by the

    market index.

    Systematic Risk =i x variance of market index

    =im

    2)Unsystematic Risk=total variancesystematic risk

    = ei = i systematic risk

    Thus,

    Total Risk=Systematic Risk-Unsystematic Risk

    =i + ei

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    From this, the portfolio variance can be derived;

    p = [ (Xii)m] + [ Xi ei]Where,

    p = variance of portfolio

    m = expected variance of market index

    ei= variation in security return not related to the

    market index

    xi = the portion of stock i in the portfolio

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    Likewise, expected return on the portfolio also can be

    estimated.

    For each security ai and i should be estimated.

    Rp=Xi(ai + iRm)

    Portfolio return is the weighted average of the

    estimated return for each security in the portfolio. The

    weights are the respective stocks proportions in the

    portfolio.

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    A portfolios Alpha is a weighted average of the alpha

    values for its component securities using the proportion

    of the investment in a security as weight.

    ap= Xiai

    Where,

    ap= value of the alpha for the portfolio

    Xi= proportion of the investment on security i

    ai= value of alpha for security i

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    Similarly, a portfolios beta value is the weightedaverage of the beta values of its component stocks

    using relative share of them in the portfolio as

    weights.

    p= xii

    where,

    p= portfolio beta

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    Problem 1:

    The following information is given for stocks of

    Company A and Company B and the BSE Sensex for a

    period of one year.Calculate the systematic and unsystematic risks for the

    stocks. If equal amount of money is allocated for the

    stocks what would be the portfolio risk?

    Particulars Stock A Stock B Sensex

    Average

    return

    0.15 0.25 0.06

    Variance of

    return

    6.30 5.86 2.25

    0.71 0.27

    Correlation

    coefficient

    0.424

    Coefficient of

    determination

    0.18

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    Ans.Company A:

    Systematic Risk=i x Variance of Market Index

    =(0.71) x 2.25=1.134

    Unsystematic Risk=Total Variance Systematic Riskei = i systematic risk

    =6.30-1.134=5.166

    Total Risk =Systematic Risk + Unsystematic Risk

    = i + ei=1.134 + 5.166=6.30

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    Company B:

    Systematic Risk =(0.27) x 2.25=0.1640

    Unsystematic Risk=(5.86-0.1640)=5.696

    Total Risk =(0.1640+5.696)=5.86

    p = [ (Xii)m] + [ Xi ei]=[(.5 x .71 + .5 x .27) 2.25] +

    [(.5)(5.166) + (.5)(5.696)]

    =[(.355 +1.35) 2.25] + [(1.292 +

    1.424)]=(.540 + 2.716)

    =3.256

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    SHARPES OPTIMAL PORTFOLIO

    Sharpe had provided a model for the selection ofappropriate securities in a portfolio.

    The selection of any stock is directly related to its

    excess return-beta ratio.

    Ri-Rf/iwhere,

    Ri = the expected return on stock i

    Rf= the return on a risk less security

    i = the expected change in the rate of return on stock iassociated with one unit change in the market retrun.

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    The excess return to beta ratio measures the additional

    return on a security(excess of the risk less security

    return) p.u. of systematic risk or non-diversifiable risk.

    This ratio provides a relationship between potential risk

    and reward.

    Ranking of the stocks are done on the basis of theirexcess return to beta.

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    The selection of the stocks depends on a unique cut-off

    rate such that all stocks with higher ratios of Ri-Rf/iare included and the stocks with lower ratios are left

    out

    C*

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    The cut-off rate is denoted by C*The steps for finding out the stocks to be included in

    the optimal portfolio are given below:

    Step 1:Find out the excess return to beta ratio for each stock

    under consideration.

    Step 2:

    Rank them from the highest to the lowest.Step 3:

    Calculate C, for all the stocks according to the ranked

    order using the following formula:

    Step 4:

    The cumulated values of Ci start declining after a

    particular Ci and that point is taken as the cut-off point

    and that stock ratio is the cut-off ratio C.

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    N

    m2 (RiRf)i

    ei2

    i=1

    Ci = N

    1 + m2 i

    2

    ei2

    i =1

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    Where,

    m2 = Variance of the Market Index

    ei

    2= Variance of a stocks movement that is not

    associated with the movement of Market Index i.e.

    stocks unsystematic risk.

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    EXAMPLE -1:

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    SOLUTION OF EXAMPLE- 1:

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    Thank u.