Scenario | Probability | Stock Fund return |
Bond Fund return |
Severe Recession | 0.1 | -46% | -20% |
Mild Recession | 0.2 | -24% | 14% |
Normal growth | 0.3 | 8% | 5% |
Boom | 0.4 | 44% | 5% |
Stock Fund
Expected return is calculated using the formula:
Expected return = E[R] = p1*R1 + p2*R2 + p3*R3 + p4*R4
Expected return of stock Fund = E[RS] = 0.1*(-46%) + 0.2*(-24%) + 0.3*8% + 0.4*44% = -4.6% + (-4.8%) + 2.40% + 17.6% = 10.60%
Expected return or mean return of stock Fund = 10.6%
Variance is calculated using the formula:
Variance = p1*(R1 - E[R])2 + p2*(R2 - E[R])2 + p3*(R3 - E[R])2 + p4*(R4 - E[R])2
Variance of the stock Fund = σS2 = 0.1*(-46%-10.6%)2 + 0.2*(-24% - 10.6%)2 + 0.3*(8% - 10.6%)2 + 0.4*(44% - 10.6%)2 = 0.0320356 + 0.0239432 + 0.0002028 + 0.0446224 = 0.100804
We need to calculate the variance in %-squared. So to convert it into %-squared we need to multilply it by 10000.
Variance of the stock fund in %-squared = 0.100804*10000 = 1008.04
Answer part a
Mean Return (%) = 10.6
Variance (%-Squared) = 1008.04
Part b
Expected return of the bond fund = E[RB] = 0.1*(-20%) + 0.2*14% + 0.3*5% + 0.4*5% = -2% + 2.8% + 1.5% + 2% = 4.3%
We have the following data:
p1 = 0.1, p2 = 0.2, p3 = 0.3, p4 = 0.4
R1,S = -46%, R2,S = -24%, R3,S = 8%, R4,S = 44%
R1,B = -20%, R2,B = 14%, R3,B = 5%, R4,B = 5%
Expected return of the stock Fund = E[RS] = 10.6%, Expected return of the bond Fund = E[RB] = 4.30%
Covariance between the stock fund and the bond fund is calculated using the formula:
Covariance between stock fund and bond fund = Cov(S,B) = p1*(R1,S - E[RS])*(R1,B - E[RB]) + p2*(R2,S - E[RS])*(R2,B - E[RB]) + p3*(R3,S - E[RS])*(R3,B - E[RB]) + p4*(R4,S - E[RS])*(R4,B - E[RB])
Cov(S,B) = 0.1*(-46% - 10.6%)*(-20% - 4.3%) + 0.2*(-24% - 10.6%)*(14% - 4.3%) + 0.3*(8% - 10.6%)*(5% - 4.3%) + 0.4*(44% - 10.6%)*(5% - 4.3%) = 0.0137538 + (-0.0067124) + (-0.0000546) + 0.0009352 = 0.007922
To convert the covariance to %-squared, we need to multiply it by 10000
Cov(S,B) in %-squared = 0.007922*10000 = 79.22
Answer b -> Covariance (%-Squared) = 79.22
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