Unwitting Markowitz' Simplification of Portfolio Random Returns
Victor Olkhov

TL;DR
This paper revisits Markowitz's model of portfolio returns, showing it as a simplified approximation of real markets under constant trade volume assumptions, and highlights the impact of trade volume fluctuations on portfolio variance estimates.
Contribution
It demonstrates that Markowitz's equations are simplified market models and introduces a market-based variance accounting for trade volume fluctuations.
Findings
Markowitz's equations approximate real markets under constant trade volumes.
Market-based variance captures trade volume fluctuations affecting portfolio risk.
Using Markowitz variance can lead to inaccurate risk estimates.
Abstract
In his famous paper, Markowitz (1952) derived the dependence of portfolio random returns on the random returns of its securities. This result allowed Markowitz to obtain his famous expression for portfolio variance. We show that Markowitz's equation for portfolio random returns and the expression for portfolio variance, which results from it, describe a simplified approximation of the real markets when the volumes of all consecutive trades with the securities are assumed to be constant during the averaging interval. To show this, we consider the investor who doesn't trade shares of securities of his portfolio. The investor only observes the trades made in the market with his securities and derives the time series that model the trades with his portfolio as with a single security. These time series describe the portfolio return and variance in exactly the same way as the time series of…
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Taxonomy
TopicsFinancial Markets and Investment Strategies · Financial Risk and Volatility Modeling · Risk and Portfolio Optimization
