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keithalewis committed Mar 17, 2024
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33 changes: 16 additions & 17 deletions ep.md
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Expand Up @@ -39,18 +39,18 @@ diligence required for Graham-Todd security analysis to using the wisdom
of the markets to inform investing. The "market portfolio" was assumed
to be in an efficient "equilibrium" resulting from the cadre of investment
professionals performing "market clearing" trades.
This short note is agnostic to the quoted terms. It proves a mathematical
result that simply assumes the existence of efficient portfolios.
This short note is agnostic to the quoted terms and proves a simple mathematical
result about efficient portfolios.

There are well-founded criticisms of the CAPM, but it has value as an
easily understood model. Traders are concerned about Sharpe ratios to this
day: how do you tailor returns for an investment strategy and account for risk?
The CAPM demonstrates a constraint on expected returns and covariance
of efficient portfolios. We show a much stronger constraint: there
is an equality of realized returns as random variables. This allows
the value-at-risk, or any risk measure, of efficient portfolios to be
calculated, something not possible using the classical result that only
holds for expected values.
easily understood model. Traders are concerned about Sharpe ratios to
this day to tailor returns for an investment strategy while accounting
for risk. The CAPM demonstrates a constraint on expected returns and
covariance of efficient portfolios. We show a much stronger constraint:
effcient portfolios satisfy an equality of realized returns as random
variables. This allows the value-at-risk, or any risk measure, of
efficient portfolios to be calculated, something not possible using the
classical result that only holds for expected values.

This result follows directly from writing down a mathematical model for
one period investments. The only thing remarkable is that this has not
Expand All @@ -61,7 +61,7 @@ as a branch of measure theory [@Kol1956].

## CAPM

The CAPM places a constraint on the expected excess realized return of efficient portfolios.
The CAPM places a constraint on the excess expected realized return of efficient portfolios.
$$
\tag{1} E[R] - R_0 = \beta(E[R_1] - R_0)
$$
Expand All @@ -70,7 +70,7 @@ $R_0$ is the realized return of a risk-less portfolio,
$R_1$ is the realized return of the "market portfolio",
and $\beta = \Cov(R, R_1)/\Var(R_1)$.

This short note points out
This short note shows the realized return $R$ of any efficient portfolio satisfies
$$
\tag{2} R - R_0 = \beta(R_1 - R_0)
$$
Expand Down Expand Up @@ -122,16 +122,15 @@ $$
This shows every efficient portfolio is in the span of
$V^{-1}x$ and $V^{-1} E[X]$.

If $\xi_0$ and $\xi_1$ are any two independent efficient portfolios then
${\xi = \beta_0\xi_0 + \beta_1\xi_1}$ for some scalars $\beta_0$ and $\beta_1$.
Assuming, as we may, that $\xi_j^* x = 1$ for $j = 0,1$ then ${\xi^* x = \beta_0 + \beta_1}$
and ${\xi^* X = \beta_0 R_{\xi_0} + \beta_1 R_{\xi_1}}$
The only novel result in this paper is the observation that
if $\xi_0$ and $\xi_1$ are any two independent efficient portfolios then
${\xi = \beta_0\xi_0 + \beta_1\xi_1}$ for some scalars $\beta_0$ and $\beta_1$
so ${R_\xi = (\beta_0 R_{\xi_0} + \beta_1 R_{\xi_1})/(\beta_0 + \beta_1)}$.
This shows
$$
R_\xi - R_{\xi_0} = \beta(R_{\xi_1} - R_{\xi_0})
$$
as random variables on $\Omega$, where $\beta = \beta_1/(\beta_0 + \beta_1)$.
as random variables where $\beta = \beta_1/(\beta_0 + \beta_1)$.
Taking the covariance with ${R_{\xi_1} - R_{\xi_0}}$ on both sides gives
$$
\beta = \Cov(R_\xi - R_{\xi_0}, R_{\xi_1} - R_{\xi_0})/\Var(R_{\xi_1} - R_{\xi_0}).
Expand Down
2 changes: 1 addition & 1 deletion um1.md
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Expand Up @@ -22,7 +22,7 @@ _Cash flow_ - dividends, coupons, margin adjustments
: $C_t\colon\Omega\to\RR^I$

_Trade_ - shares per instrument based on historical data
: $\Gamma_t = \Gamma((X_s)_{s\le t}, (C_s)_{s\le t})\colon\Omega\to\RR^I$
: $\tau_0 < \cdots < \tau_n$, $\Gamma_t = \Gamma((X_s)_{s\le t}, (C_s)_{s\le t})\colon\Omega\to\RR^I$

_Position_ - accumulate trades not including last trade
: $\Delta_t = \sum_{s < t} \Gamma_s$
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