Risk & Return Analysis

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FINANCIAL MANAGEMENT (FIN401) Lecture 1: Risk & Return Analysis By: Sana Tauseef, CFA, MBA Lecturer, Department of Economics and Finance Institute of Business Administration, Karachi Email: [email protected]

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Risk & Return Analysis

Transcript of Risk & Return Analysis

FINANCIAL MANAGEMENT (FIN401)

Lecture 1:Risk & Return Analysis

By: Sana Tauseef, CFA, MBA Lecturer, Department of Economics and Finance Institute of Business Administration, Karachi Email: [email protected]

Risk

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Investment return is what you get over and above your invested capital…

The rate of return on an investment can be calculated as follows:

(Amount received – Amount invested)

Return = ____________________

Amount invested

For example, if $1,000 is invested and $1,100 is returned after one year, the rate of return for this investment is:

($1,100 - $1,000) / $1,000 = 10% 2

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Typically, investment returns are not known with certainty…

Risk is related to the probability of having a return different from the

expected return. It is measured through calculating the variance or standard

deviation of the distribution of returns.

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Risk & Return may be computed using

historical (realized) data or prospective

(anticipated) data…

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Historical returns* give an idea of how an investment (stock) performed in the past…

YearNestle

Pakistan BAHL

2003 72.08 52.29

2004 38.16 16.99

2005 48.22 45.21

2006 35.71 -2.84

2007 72.26 12.70

2008 -25.92 -67.78

2009 -6.56 31.72

2010 90.60 10.68

2011 59.89 -21.32

2012 24.66 11.22

Average Return 40.41 8.89

Historical Risk 36.3 34.55

*Dividends are not included in the calculation of returns.5

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Historical returns are adjusted based on future forecasts…

State of Economy Probability

Forecasted ReturnNestle

Pakistan

Good 30% 73%

Average 60% 40%

Poor 10% 28%

Expected Return 48.70%

Expected Risk 16.29%6

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In an efficient market, risk and return factors are always positively related…

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Co-efficient of variation is a standardized measure of dispersion about the expected value, that shows the risk per unit of return...

Mean

dev Std CV

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Combining stocks in a portfolio generally lowers risk…

• Unsystematic risk is the firm-specific risk and can be eliminated through diversification.

• Systematic risk is the market risk and can not be diversified away.

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Modern portfolio theory (mean-variance approach) was introduced by Harry Markowitz with his paper "Portfolio Selection," which appeared in the 1952 Journal of Finance. 38 years later, he shared a Nobel Prize with Merton Miller and William Sharpe for what has become a broad theory for portfolio selection.

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Rational investors choose to hold securities as part of a diversified portfolio...

Portfolio return is the weighted average return of component stocks

Portfolio Risk is lesser than the weighted average risk of component stocks

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The variance/standard deviation of a portfolio also reflects how the returns on the stocks which comprise the portfolio vary together…

• If the stocks are perfectly positively correlated, there is no risk diversification.• If the stocks are perfectly negatively correlated,

there is maximum risk diversification.• If the correlation is between -1 and +1, there is

some risk diversification.• Lower the correlation value, higher is the risk

diversification.12

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Correlation is positive but less than +1 for most pairs of stocks…

Correlation between Nestle and BAHL 0.4816Correlation between Nestle and Siemens 0.2295Correlation between Siemens and BAHL 0.6160

Correlation between Nestle and Shell 0.3161Correlation between Siemens and Shell 0.5711

Correlation between BAHL and Shell 0.5947

Correlations are calculated based on annual historical returns (ignoring dividends) over a 14-year period (1999-2013) 13

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There are three steps in efficient portfolio formation…

1. Select the securities to be included in the portfolio

2. Identify the efficient combinations of the selected securities

3. Pick up one combination that best suits the risk-aversion of the investor

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An investor’s objective in using the mean-variance approach to portfolio selection is to choose an efficient portfolio…

• Portfolio possibilities curve plots the expected return and risk of the portfolios that can be formed using two assets.

• Efficient frontier shows the efficient portfolios-the combinations which offer higher returns for a given level of risk.

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Assumed Expected Returns, standard deviations and correlation: Two-asset case

  Nestle BAHL

Expected Return 40.41 8.89

Standard Deviation 36.3 34.55

Assuming the correlation of +1, -1 and 0.48, we will plot the portfolio possibilities curve and identify the efficient frontier.

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For the pairs with perfect positive correlation, there is no risk diversification and the risk of portfolio is equal to the weighted average risk of individual securities…

Weight (Nestle) 0 0.2 0.4 0.5 0.6 0.8 1Weight (BAHL) 1 0.8 0.6 0.5 0.4 0.2 0Portfolio Return 8.89 15.29 21.70 24.90 28.10 34.51 40.91

Portfolio Risk 34.55 34.90 35.25 35.42 35.60 35.95 36.30

WAR 34.55 34.90 35.25 35.42 35.60 35.95 36.30

Div Benefit 0.00 0.00 0.00 0.00 0.00 0.00 0.0017

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When the correlation is +1, the minimum-variance frontier is an upward sloping straight line…

34.40 34.60 34.80 35.00 35.20 35.40 35.60 35.80 36.00 36.20 36.400.00

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For the pairs with perfect negative correlation, there is maximum risk diversification and a combination of two assets exists that provides a portfolio with zero risk…

Global minimum-variance combination: Weight(N)= 0.488

Weight (Nestle) 0 0.2 0.4 0.488 0.5 0.6 0.8 1Weight (BAHL) 1 0.8 0.6 0.512 0.5 0.4 0.2 0Portfolio Return 8.89 15.29 21.70 24.51 24.90 28.10 34.51 40.91

Portfolio Risk 34.55 20.38 6.21 0.02 0.87 7.96 22.13 36.30

WAR 34.55 34.90 35.25 35.40 35.42 35.60 35.95 36.30

Div Benefit 0.00 14.52 29.04 35.38 34.55 27.64 13.82 0.00

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When the correlation is -1, the minimum-variance frontier has two linear segments. The two segments join at the global minimum-variance portfolio which has zero risk…

0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 40.000.00

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For the pairs with correlation between -1 and +1, there is some risk diversification and as we lower the correlation, holding other values constant, there are increasingly larger potential benefits of diversification…

Global minimum-variance combination: Weight(N)= 0.45

Weight (Nestle) 0 0.2 0.4 0.5 0.45 0.6 0.8 1Weight (BAHL) 1 0.8 0.6 0.5 0.55 0.4 0.2 0Portfolio Return 8.89 15.29 21.70 24.90 23.30 28.10 34.51 40.91

Portfolio Risk 34.55 31.78 30.50 30.49 30.44 30.90 32.93 36.30

WAR 34.55 34.90 35.25 35.42 35.33 35.60 35.95 36.30

Div Benefit 0.00 3.12 4.75 4.93 4.89 4.69 3.02 0.0021

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Between the extreme correlation values of -1 and +1, the minimum-variance frontier has a bullet-like shape and the frontier bows out further to the left as we lower the correlation…

30.00 31.00 32.00 33.00 34.00 35.00 36.00 37.000.00

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Would adding third asset improve the available trade-offs between risk and return???

• One is never worse off for having additional choices.

• A new asset permits us to move to a superior minimum-variance frontier.

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How many different stocks must we hold in order to have a well-diversified portfolio???

• σp decreases as stocks added, because they would not be perfectly correlated with the existing portfolio.• Eventually the diversification benefits of

adding more stocks dissipates (after about 30 stocks), and for large stock portfolios, σp consists of the market risk only.

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Diversification effect increases as the number of stocks in a portfolio increases…

# Stocks in Portfolio10 20 30 40 2,000+

Company-Specific Risk

Market Risk

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sp (%)35

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Market risk is measured through Beta… Beta is the variation in the stock return relative to the return of the market portfolio…

• If beta = 0, the asset is risk-free.• If beta = 1.0, the security is just as risky as

the average stock.• If beta > 1.0, the security is riskier than

average.• If beta < 1.0, the security is less risky than

average.• Most stocks have betas in the range of 0.5

to 1.5. 26

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Adjusted beta is a better forecast of future beta than is historical beta…

• Betas on average are mean-reverting.• The mean-reverting level of beta is 1.• If the historical beta is above 1, the

adjusted beta will be below historical beta and if the historical beta is below 1, the adjusted beta will be above the historical beta.

Adjusted beta: 2/3*Historical beta+1/3*1

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Beta instability decreases as the estimation period increases suggesting that the historical beta coefficients calculated using longer estimation period are better in predicting the future beta coefficients...

Beta Calculated Over:

Mean Standard Deviation

Minimum Maximum

1 year 0.646 1.832 -40.029 44.6462 years 0.626 1.166 -27.969 15.1433 years 0.603 1.018 -20.148 9.1674 years 0.577 0.938 -18.698 6.0115 years 0.575 0.857 -17.798 4.2976 years 0.572 0.803 -15.800 3.9557 years 0.574 0.749 -13.957 3.1438 years 0.580 0.700 -12.594 2.5589 years 0.589 0.631 -11.394 2.456

10 years 0.593 0.579 -7.148 2.46211 years 0.582 0.592 -6.911 2.45412 years 0.572 0.618 -6.578 2.17213 years 0.563 0.659 -6.471 1.79114 years 0.561 0.637 -6.163 1.777

Average beta calculated using the total return price data on 325 stocks listed on the Karachi Stock Exchange (KSE), for the period January 1999 to December 2012.

Tauseef, S. (2013). Beta Stationarity and Estimation Period: Evidence from Pakistan’s Equity Market, Working Paper.

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CAPM makes the following assumptions…

• Investors need only know about expected returns, variances and correlations to determine which asset/portfolio is optimal for them.• Investors have identical views about risky

assets’ returns, variances and correlations.• All assets are marketable and can be traded in

any size.• Investors can borrow or lend at the risk-free

rate without any limit.• There are no taxes, transaction costs and

spreads. 29

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CAPM specifies a linear relationship between risk and required return...

CAPM concludes that:The relevant risk of an individual stock is its contribution to the risk of a well-diversified portfolio.The return for a security/portfolio depends on:

I. Risk-free rateII. Risk Premium available in the marketIII. Security/portfolio risk

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Though CAPM is used widely model in applications; however, the model has failed badly in the empirical tests…

The relationship between beta and average returns disappear when some important fundamentals of the firm are added. The average returns are negatively related to size and positively related to book-to-market ratio.

Fama E.F. and K.R. French (1992). The Cross-Section of Expected Stock Returns, The Journal of Finance, 47, 2, 427-465.

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