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Journal ArticleDOI

Does Factor Investing Improve Investor Welfare? A Multi-Asset Perspective

TLDR
In this paper, the authors show that a set of benchmark portfolios made of individual securities offers the same investment opportunities as these securities if, and only if, their returns are asset pricing factors, meaning that they collectively explain differences in expected returns.
Abstract
Investment decisions in delegated money management are typically made in two stages. In the first stage, a centralized decision maker allocates capital to the different asset classes. In the second stage, asset managers decide how to allocate available wealth to the individual securities within the corresponding asset class. Although commonly used in investment practice, this approach potentially involves a loss of efficiency compared with a single-step optimization procedure. The authors show that this welfare loss is zero if, and only if, the benchmarks completely explain the cross section of expected returns of the securities. This theoretical proposition justifies factor investing as an investment method that constructs investable proxies for pricing factors. Mean-variance spanning tests confirm that investment opportunities offered by standard equity, bond, and commodity factor benchmarks are not spanned by corresponding broad asset class benchmarks. The authors then conduct out-of-sample tests with these factors and find that they improve the risk-return profile of multiclass portfolios with respect to the case in which these portfolios are invested in broad asset class benchmarks. TOPICS:Wealth management, factor-based models, portfolio theory, portfolio construction Key Findings • A set of benchmark portfolios made of individual securities offers the same investment opportunities as these securities if, and only if, their returns are asset pricing factors, meaning that they collectively explain differences in expected returns. • Mean–variance spanning tests lead the authors to reject the hypothesis that traditional broad equity, bond, and commodity asset class benchmarks generate the same efficient frontier as factor benchmarks drawn from these three classes. • Out of sample, introducing factor benchmarks in multi-asset portfolios that contain traditional asset class benchmarks improves their Sharpe ratio.

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Citations
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Journal ArticleDOI

Currency returns and systematic risk

TL;DR: This article investigated the relationship between currency excess returns and Gross Domestic Product (GDP) in a Consumption Capital Asset Pricing Model and found that the correlation between the unobservable systematic factors is explored by Seemingly Unrelated Regressions estimations.
References
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Journal ArticleDOI

Common risk factors in the returns on stocks and bonds

TL;DR: In this article, the authors identify five common risk factors in the returns on stocks and bonds, including three stock-market factors: an overall market factor and factors related to firm size and book-to-market equity.
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On Persistence in Mutual Fund Performance

Mark M. Carhart
- 01 Mar 1997 - 
TL;DR: Using a sample free of survivor bias, this paper showed that common factors in stock returns and investment expenses almost completely explain persistence in equity mutual fund's mean and risk-adjusted returns.
Journal ArticleDOI

Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency

TL;DR: In this article, the authors show that strategies that buy stocks that have performed well in the past and sell stocks that had performed poorly in past years generate significant positive returns over 3- to 12-month holding periods.
Journal ArticleDOI

The arbitrage theory of capital asset pricing

TL;DR: Ebsco as mentioned in this paper examines the arbitrage model of capital asset pricing as an alternative to the mean variance pricing model introduced by Sharpe, Lintner and Treynor.
Journal ArticleDOI

Multifactor Explanations of Asset Pricing Anomalies

TL;DR: In this article, the authors show that many of the CAPM average-return anomalies are related, and they are captured by the three-factor model in Fama and French (FF 1993).
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