Quant question on Std.Dev. Calculation

Hi,

Can anyone tell me what formula they used here and how they managed to get 0.066 in the calculation?

I wanted to use the Var(Rp) forumal but I know requires the question to provide with at least a Cov1,2 value or a corr value. I don’t think you calculate either from the info provided. I used my BA11Plus calculate to see if i can get a value for r if i was to input state of economoy value to Y and Return on Portfolio to X and I ended up with 1.

Use the following probability distribution to calculate the standard deviation for the portfolio.

State of the Economy Probability Return on Portfolio Boom 0.30 15% Bust 0.70 3%

A) 6.0%. B) 5.5%. C) 6.5%.

The correct answer was B) 5.5%.

[0.30 × (0.15 − 0.066 )2 + 0.70 × (0.03 − 0.066 )2]1/2 = 5.5%.

The formula appears to be

Var=P(state1)*(return in state 1 - expected return across states)^2 + P(state2)* (return in state 2 - expected return across states)^2

Std=squareroot(Var)=Var^(1/2)

Expected return across states = P(state1)*return in state 1 + P(state2)* return in state 2

= 0.3*0.15+0.7*0.03

= 0.066

So you’re saying they used the following formula --> Var(X)= P(X)[X-E(x)]^2 but why is that the square root was taken?

i am just inferring from the context…

conventional Variance formula = 1/n*sum[X-E(x)]^2

the problem specific Variance formula= P(x)*[X-E(X)]^2

P(x) could be 1/n if we are equal weighting the observations.

The squarerrot was taken because we are looking for the Standard deviation which is the square root of variance.

Ohh that makes great sense haha! Thanks so much Alladin.

Can you use ur calculator to solve a problem such as this quicker?

haha i am not aware of any calculator shortcuts here…its probably quicker to do it step by step

On the Ba 2 plus you type it into data and get the values in 1-V mode (easier, faster and lot less mistakes for me…)

Like I-will-pass said, using the calculator is easier. Enter the returns in the X column as percents (not decimal form) and the probabilities in the Y column as percents and you get a stdev of 5.5%