Parametric Portfolio Policies: Exploiting Characteristics in the Cross-Section of Equity Returns
提出一种直接建模投资组合权重与股票特征关系的新方法，通过优化样本期内投资者平均效用求解参数，计算简单且稳健，并利用CRSP-Compustat数据验证了规模、价值和动量效应。
We propose a novel approach to optimizing portfolios with large numbers of assets. We model directly the portfolio weight in each asset as a function of the asset's characteristics. The coefficients of this function are found by optimizing the investor's average utility of the portfolio's return over the sample period. Our approach is computationally simple and easily modified and extended to capture the effect of transaction costs, for example, produces sensible portfolio weights, and offers robust performance in and out of sample. In contrast, the traditional approach of first modeling the joint distribution of returns and then solving for the corresponding optimal portfolio weights is not only difficult to implement for a large number of assets but also yields notoriously noisy and unstable results. We present an empirical implementation for the universe of all stocks in the CRSP--Compustat data set, exploiting the size, value, and momentum anomalies. The Author 2009. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org., Oxford University Press.