determinants of portfolio choice of individual investor

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  • 7/28/2019 Determinants of Portfolio Choice of Individual Investor

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    Determinants of

    portfolio choice of

    individual investorPresented by:

    Varun jindal (211161)

    Durgendra singh (211172)TNVM ravindra mohan (211146)

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    Introduction

    The traditional bulwark of the equitymarket place-the individual investor

    has been an object of scrutiny only in

    a very aggressive terms. The

    individual investor has been asignificant contributor to the

    allocation and liquidity function of

    capital market. Accordingly, it is imp

    to understand his concerns. In this

    direction we tried to find what are thefactors that influence his choice of

    portfolio.

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    Methodology

    Data was obtained by a questionnaire survey of arepresentation cross section of 200 individuals.

    Representative cross section for sampling proposes was

    taken only those household which are capable of

    financial investment.Variables employed:

    Age

    Income

    Risk tolerance Expected return

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    Data collection and

    preparation

    Age :

    Age of investing No. of respondents %

    50-60 35 17.540-50 46 23

    30-40 52 26

    20-30 59 29.5

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    Data collection and

    preparation cont

    Income :

    Monthly income class No. of respondents %15,000-25,000 52 26

    25,001-30,000 46 23

    30,001-40,000 38 19

    40,000-50,000 26 13

    50,000-60,000 38 19

    200 100

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    Data collection and

    preparation cont

    Risk tolerance :

    Risk tolerance No. of respondents %

    more willingness 10 5less willingness 69 34.5

    risk factor hs no influence 72 36

    can't say 49 24.5

    200 100

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    Data collection and

    preparation cont

    Expected return:

    Expected return No. of respondents %0-15% 52 26

    15% - 30% 45 22.5

    30% -50% 57 28.5

    above 50% 46 23

    200 100

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    Data collection and

    preparation cont

    Age / Income :

    Age/income level

    25-35 35-45 45-55 >55 total

    15,000-25,000 10 16 16 10 5225,001-30,000 14 15 12 5 46

    30,001-40,000 9 11 11 7 38

    40,000-50,000 4 12 6 4 26

    50,000-60,000 6 11 18 3 3843 65 63 29 200

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    Data collection and

    preparation cont

    Return / Income:

    RETURN/INCOME LEVEL

    0-15% 15%-30% 30%-50% >50%

    15,000-25,000 20 15 10 7 5225,001-30,000 15 13 14 4 46

    30,001-40,000 7 12 15 4 38

    40,000-50,000 2 3 10 11 26

    50,000-60,000 8 2 8 20 3852 45 57 46 200

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    Determinant of portfolio

    choice

    To identify the factorsinfluencing the

    portfolio of individual

    in investors a

    multiple regressionwas developed. The

    expected return was

    taken as a

    dependent variable

    and rest all thevariables was taken

    as independent

    variables.

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    Regression table data

    X1 X2 X3 Y1

    Age in years(5) Income in '000(10,000) risk Expected return(%)

    25 25 1 10

    25 25 2 15

    25 25 3 20

    25 45 1 15

    25 45 2 25

    25 45 3 35

    35 30 1 11

    35 30 2 15

    35 30 3 20

    35 50 1 12

    35 50 2 1735 50 3 20

    45 35 1 10

    45 35 2 13

    45 35 3 17

    45 55 1 9

    45 55 2 13

    45 55 3 16

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    Regression analysis

    Regression

    Statistics

    Multiple R 0.944086032

    R Square 0.891298436

    Adjusted R Square 0.85053535

    Standard Error 2.885849095

    Observations 12

    ANOVA

    df SS MS F Significance F

    Regression 3 546.2916667 182.0972222 21.8653325 0.000328298

    Residual 8 66.625 8.328125

    Total 11 612.9166667

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    Regression analysis cont

    Coefficients Standard Error t Stat P-value

    Intercept 2.013888889 5.137282735 0.392014416 0.705283891

    X Variable 1 -0.322222222 0.111076383 -2.900906675 0.019864069

    X Variable 2 0.408333333 0.083307288 4.901531968 0.001191462

    X Variable 3 5.875 1.020301732 5.758100583 0.000425033

    Lower 95% Upper 95% Lower 95.0% Upper 95.0%

    Intercept -9.832706332 13.86048411 -9.832706332 13.86048411

    X Variable 1 -0.578364822 -0.066079623 -0.578364822 -0.06607962

    X Variable 2 0.216226384 0.600440283 0.216226384 0.600440283

    X Variable 3 3.522179988 8.227820012 3.522179988 8.227820012

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    Regression residual

    Observation Predicted Y Residuals

    1 10.04166667 -0.041666667

    2 15.91666667 -0.916666667

    3 21.79166667 -1.791666667

    4 18.20833333 -3.208333333

    5 24.08333333 0.916666667

    6 29.95833333 5.041666667

    7 5.208333333 3.791666667

    8 11.08333333 0.916666667

    9 16.95833333 -1.958333333

    10 13.375 -1.375

    11 19.25 0.75

    12 25.125 -2.125

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    Results

    Dependent variable = Expected returnMultiple R = 0.944086032

    Adjusted R2 = 0.85053535

    Standard error = 2.885849095

    F = 21.8653325 significant at 0.000328298

    T STAT:

    X1 = -2.900906675

    X2 = 4.901531968

    X3 = 5.758100583

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    References

    L.fisher and J.Lorie Rates of returns on investments in commonsock. Journal of business,41, July 1968, Pp 291-316.

    V.Rangarajan, Chennai investor is conservative, business line,

    FEB23, 1997 p20.

    V.Rangarajan, investment size based segmentation of individual

    investor, management researcher, 3-3&4, jan-june, pp21-28. Peter S.Yoo, age dependent portfolio selection, St. Louis : Federal

    reserve bank of St. Louis, 1994.

    L.C. Gupta, Indian share owner A survey , NEW Delhi, society for

    capital market research and development, 1991.