In: Finance
The table below shows standard deviations and correlation coefficients for eight stocks from different countries. Calculate the variance of a portfolio with equal investments in each stock. (Use decimals, not percents, in your calculations. Do not round intermediate calculations. Round your answer to 5 decimal places.)
BHP | BP | Fiat Chrysler |
Heineken | Korea Electric |
Nestlè | Sony | Tata Motors | |
BHP | 1.00 | .26 | .42 | .40 | .17 | .40 | .12 | .34 |
BP | .26 | 1.00 | .34 | .17 | .12 | .33 | .49 | .17 |
Fiat | .42 | .34 | 1.00 | .09 | .10 | .02 | .36 | .07 |
Heineken | .40 | .17 | .09 | 1.00 | .25 | .52 | .29 | .34 |
Korea Electric | .17 | .12 | .10 | .25 | 1.00 | −.26 | .26 | .05 |
Nestlè | .40 | .33 | .02 | .52 | −.26 | 1.00 | .27 | .00 |
Sony | .12 | .49 | .36 | .29 | .26 | .27 | 1.00 | .11 |
Tata Motors | .34 | .17 | .07 | .34 | .05 | .00 | .11 | 1.00 |
Standard deviation (%) | 27.80 | 37.10 | 51.06 | 26.04 | 35.83 | 17.70 | 52.84 | 47.11 |
Portfolio variance
Correlation matrix | BHP | BP | Fiat Chrysler | Heineken | Korea Electric | Nestlè | Sony | Tata Motors |
BHP | 1 | 0.26 | 0.42 | 0.4 | 0.17 | 0.4 | 0.12 | 0.34 |
BP | 0.26 | 1 | 0.34 | 0.17 | 0.12 | 0.33 | 0.49 | 0.17 |
Fiat | 0.42 | 0.34 | 1 | 0.09 | 0.1 | 0.02 | 0.36 | 0.07 |
Heineken | 0.4 | 0.17 | 0.09 | 1 | 0.25 | 0.52 | 0.29 | 0.34 |
Korea Electric | 0.17 | 0.12 | 0.1 | 0.25 | 1 | -0.26 | 0.26 | 0.05 |
Nestlè | 0.4 | 0.33 | 0.02 | 0.52 | -0.26 | 1 | 0.27 | 0 |
Sony | 0.12 | 0.49 | 0.36 | 0.29 | 0.26 | 0.27 | 1 | 0.11 |
Tata Motors | 0.34 | 0.17 | 0.07 | 0.34 | 0.05 | 0 | 0.11 | 1 |
Note that this matrix is symmetrical, ie the correlation of BHP
and BP is the same as the correlation of BP and BHP. Also, the
correlation of an asset with itself is always 1.
Asset | Weight (Wn) | Standard deviation (σn) | wnσn |
BHP | 0.12500 | 0.27800 | 0.03475 |
BP | 0.12500 | 0.37100 | 0.04638 |
Fiat | 0.12500 | 0.51060 | 0.06383 |
Heineken | 0.12500 | 0.26040 | 0.03255 |
Korea Electric | 0.12500 | 0.35830 | 0.04479 |
Nestlè | 0.12500 | 0.17700 | 0.02213 |
Sony | 0.12500 | 0.52840 | 0.06605 |
Tata Motors | 0.12500 | 0.47110 | 0.05889 |
Annual variance = | 0.044665 | =MMULT(MMULT(TRANSPOSE(E14:E21),C2:J9),E14:E21) | |
Therefore volatility = | 0.211341 | =SQRT(annual variance) |
Note= When returning multiple results in an array on the worksheet, enter as a multi-cell array formula with control + shift + enter.
This calculation can also be done by using the traditional
portfolio variance formula for 8 assets. However, the number of
terms involved in such calculation are 36 {(n*(n+1))/2-> for
n=8}. There are 24 covariance terms. The general formula is like
this-
=sum(Wn^2*σn^2)+ sum(2*Wn*Wn+1*Covar n,n+1)