On the topic-based exam for “Capital Market expectations, Asset Valuation and Asset Allocation,” first item set, question 2 says that “Grey recommends using the Singer–Terhaar approach to the ICAPM and assumes a correlation of 0.39 between U.S. real estate and the GIM.”
I calculated the correlation as 0.49 by using the formula "Correlation(i) = Covariance(i,m) / Std Dev(i) * Std Dev(m).
So, correlation = 0.0075 / 0.14 * 0.11.
Correlation = 0.49.
***
In case you ask, I calculated Std Dev(m) from the formula Sharpe Ratio(m) = [R(m) - R(f)] / Std Dev(m).
So, 0.36 = [7.2% - 3.1%] / Std Dev(m). Std Dev(m) = [7.2% - 3.1%] / 0.36.
Std Dev(m) = 11.4%
***
So, my question is . . . why does Grey assume a 0.39 correlation, when using his data should calculate a 0.49 correlation?
Am I missing something?
THANKS!