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change solution to problem 4.2
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Previous solution did not seem correct since components of expected return were defined in terms of other components of expected return
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nchlswllms authored Feb 2, 2021
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18 changes: 14 additions & 4 deletions src/Chapter4.tex
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&=0.02045\\
\end{align*}
}
\item{The consensus expected return is just $\beta_{McDonald's\cdot\mu_{B}}=6.42\%$}
\item{The consensus expected return is just $\beta_{McDonald's}\cdot\mu_{B}=6.42\%$}
\item{The expected excess return is $f_{McDonald's}=E\{R_{McDonald's}\}-1-i_{F}=1.15-1-0.06=0.09$ or 9 percent}
\item{The exceptional expected return is $f_{McDonald's}-\beta_{McDonald's}\mu_{B}=0.09-0.0642=0.0258$ or 2.58 percent.}
\item{The sum of the consensus expected return and the exceptional return is $6.42\% + 2.58\%=9\%$ which is the expected excess return.}
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\end{problem}

\begin{proof}[Solution]
The CAPM expected returns of stock $n$ are equal to $\beta_{n}^{M}\mu_{M}$ where $\mu_{M}$ is the expected excess return of the market. Using eq (4.7), we can set
The CAPM expected excess returns of stock $n$ are equal to $\beta_{n}^{M}\mu_{M}$ where $\mu_{M}$ is the expected excess return of the market. Using eq (4.7), we can set
\begin{equation*}
E\{R_{n}\}=1+i_{F}+\beta_{n}^{M}\mu_{M}=1+i_{F}+\beta_{n}^{B}\mu_{B}+\beta_{n}^{B}\Delta f_{B}+\alpha_{n}
E\{R_{n}\}=1+i_{F}+\beta_{n}^{M}\mu_{M}=1+i_{F}+\beta_{n}^{B}\mu_{B}+\beta_{n}^{B}\Delta f_{B}+\alpha_{n}.
\end{equation*}
The time premium will still be equal to $i_{F}$. The risk premium will be $\beta_{n}^{B}\mu_{B}=\beta_{n}^{M}\mu_{M}-\beta_{n}^{B}\Delta f_{B}-\alpha_{n}$. The exceptional benchmark return will be $\beta_{n}^{B}\Delta f_{B}=\beta_{n}^{M}\mu_{M}-\beta_{n}^{B}\mu_{B}-\alpha_{n}$. Alpha will be $\alpha_{n}=\beta_{n}^{M}\mu_{M}-\beta_{n}^{B}\mu_{B}-\beta_{n}^{B}\Delta f_{B}$. The consensus expected return will be $\beta_{n}^{B}\mu_{B}=\beta_{n}^{M}\mu_{M}-\beta_{n}^{B}\Delta f_{B}-\alpha_{n}$. The expected excess return will just be $\beta_{n}^{M}\mu_{M}=\beta_{n}^{B}\mu_{B}+\beta_{n}^{B}\Delta f_{B}+\alpha_{n}$. The exceptional expected return will be $\beta_{n}^{M}\mu_{M}-\beta_{n}^{B}\mu_{B}=\beta_{n}^{B}\Delta f_{B}+\alpha_{n}$. Here the superscripts indicate the market (M) and benchmark (B). For example $\beta_{n}^{B}$ is the beta of stock $n$ with respect to the benchmark while $\beta_{n}^{M}$ is the beta with respect to the market.
Here the superscripts indicate the market (M) and benchmark (B). For example $\beta_{n}^{B}$ is the beta of stock $n$ with respect to the benchmark while $\beta_{n}^{M}$ is the beta with respect to the market.

If we suppose that the CAPM holds and that the benchmark is not the market, then we have $\mu_{B} = \beta_{B}^{M}\mu_{M}$. We also have that $\Delta f_{B} = 0$, since the near future expected benchmark return $f_{B}$ is also equal to $\beta_{B}^{M}\mu_{M}$. Hence \[E\{R_{n}\}=1+i_{F}+\beta_{n}^{M}\mu_{M}=1+i_{F}+\beta_{n}^{B}\beta_{B}^{M}\mu_{M}+\alpha_{n}.\] Therefore, the CAPM expected returns will split as follows into the categories suggested in this chapter.
\begin{itemize}
\item The time premium will still be equal to $i_{F}$.
\item The risk premium will equal $\beta_{n}^{B}\beta_{B}^{M}\mu_{M}$, which is also equal to the consensus expected return.
\item The exceptional benchmark return will be zero.
\item Alpha will be $(\beta_{B}^{M} - \beta_{n}^{B}\beta_{B}^{M})\mu_{M}$.
\item The expected excess return will be $\beta_{n}^{M}\mu_{M}$.
\item The exceptional expected return will be equal to the alpha, $(\beta_{B}^{M} - \beta_{n}^{B}\beta_{B}^{M})\mu_{M}$.
\end{itemize}
\end{proof}

\begin{problem}{4.3}
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