Question

In: Finance

Junior Sayou, a financial analyst for Chargers Products, a manufacturer of stadium benches, must evaluate the...

Junior Sayou, a financial analyst for Chargers Products, a manufacturer of stadium benches, must evaluate the risk and return of two assets, X and Y. The firm is considering adding these assets to its diversified asset portfolio. To assess the return and risk of each asset, Junior gathered data on the annual cash flow and beginning-and end-of-year values of each asset over the immediately preceding 10 years, 2006-2015. These data are summarized in the attached table. Junior’s investigation suggests that both assets, on average, will tend to perform in the future just as they have during the past 10 years. He, therefore, believes that the expected annual return can be estimated by finding the average annual return for each asset over the past 10 years. Junior believes that each asset’s risk can be assessed in two ways: in isolation and as part of the firm’s diversified portfolio of assets. The risk of the assets in isolation can be found by using the standard deviation and coefficient of variation of returns over the past 10 years. The capital asset pricing model (CAPM) can be used to assess the asset’s risk as part of the firm’s portfolio of assets. Applying some sophisticated quantitative techniques, Junior estimated betas for assets X and Y of 1.60 and 1.10, respectively. In addition he found that the risk-free rate is currently 7.0% and that the market return is 10.0%.

Calculate:

1) Expected return on a portfolio XY

2) Risk on a portfolio XY

Weight of each asset is 50%. Average annual return: asset X: 11.74% asset Y: 11.14% Standard deviation: asset X: 8.9 asset Y: 2.78

Asset X
Value
Year Cash Flow Beginning Ending
2006 $1,000 $20,000 $22,000
2007 1500 22000 21000
2008 1400 21000 24000
2009 1700 24000 22000
2010 1900 22000 23000
2011 1600 23000 26000
2012 1700 26000 25000
2013 2000 25000 24000
2014 2100 24000 27000
2015 2200 27000

30000

Asset Y
Ending
Year Cash Flow Beginning Ending
2006 $1,500 $20,000 $20,000
2007 1600 20000 20000
2008 1700 20000 21000
2009 1800 21000 21000
2010 1900 21000 22000
2011 2000 22000 23000
2012 2100 23000 23000
2013 2200 23000 24000
2014 2300 24000 25000
2015 2400 25000 25000

Solutions

Expert Solution

1. Expected Return of portfolio = Weight of X * Return of X + Weight of Y * Return of Y

= 0.5 * 11.74% + 0.5 * 11.14%

= 11.14%

2. Asset X

Year Cashflow Beginning Ending Return Rate of return (X) Expected return (x) (X-x)
2000 1,000 20,000 22,000 3,000 15.00% 11.74% 3.26%
2001 1,500 22,000 21,000 500 2.30% 11.74% -9.44%
2002 1,400 21,000 24,000 4,400 21.00% 11.74% 9.26%
2003 1,700 24,000 22,000 -300 -1.30% 11.74% -13.04%
2004 1,900 22,000 23,000 2,900 13.20% 11.74% 1.46%
2005 1,600 23,000 26,000 4,600 20.00% 11.74% 8.26%
2006 1,700 26,000 25,000 700 2.70% 11.74% -9.04%
2007 2,000 25,000 24,000 1,000 4.00% 11.74% -7.74%
2008 2,100 24,000 27,000 5,100 21.30% 11.74% 9.56%
2009 2,200 27,000 30,000 5,200 19.30% 11.74% 7.56%

Asset Y

Year Cashflow Beginning Ending Return Rate of return (Y) Expected return (y) (Y-y)
2000 1,500 20,000 20,000 1,500 7.50% 11.14% -3.64%
2001 1,600 20,000 20,000 1,600 8.00% 11.14% -3.14%
2002 1,700 20,000 21,000 2,700 13.50% 11.14% 2.36%
2003 1,800 21,000 21,000 1,800 8.60% 11.14% -2.54%
2004 1,900 21,000 22,000 2,900 13.80% 11.14% 2.66%
2005 2,000 22,000 23,000 3,000 13.60% 11.14% 2.46%
2006 2,100 23,000 23,000 2,100 9.10% 11.14% -2.04%
2007 2,200 23,000 24,000 3,200 13.90% 11.14% 2.76%
2008 2,300 24,000 25,000 3,300 13.80% 11.14% 2.66%
2009 2,400 25,000 25,000 2,400 9.60% 11.14% -1.54%

Calculation of covariance

Year (X-x) (Y-y) (X-x)(Y-y)
2000 3.26% -3.64% -0.12%
2001 -9.44% -3.14% 0.30%
2002 9.26% 2.36% 0.22%
2003 -13.04% -2.54% 0.33%
2004 1.46% 2.66% 0.04%
2005 8.26% 2.46% 0.20%
2006 -9.04% -2.04% 0.18%
2007 -7.74% 2.76% -0.21%
2008 9.56% 2.66% 0.25%
2009 7.56% -1.54% -0.12%
Total 1.08%

Risk of portfolio = Std Dev of portfolio

Std Dev of portfolio = (Weight of X^2 * Std Dev of X^2 + Weight of Y^2 * Std Dev of Y^2 + 2 * Weight of X * Weight of Y * Covariance)^1/2

= [(0.5)^2 * (8.9)^2 + (0.5)^2 * (2.78)^2 + 2 * 0.5 * 0.5 * 1.08]^1/2

= (22.2746)^1/2

= 4.72%


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