Factor Investing from Concept to Implementation

Mutual funds following factor investing strategies based on equity asset pricing anomalies, such as the small-cap, value, and momentum effects, earn significantly higher alphas than traditional actively managed mutual funds. The authors report that a buy-and-hold strategy for a random factor fund yields 110 basis points per annum in excess of the return earned by the average traditional actively managed mutual fund. However, they find that the actual returns that investors earn by investing in factor mutual funds are significantly lower because investors dynamically reallocate their funds both across factors and factor managers. Although factor funds have attracted significant fund flows over their sample period, it appears that fund flows have been driven by factor funds earning high past returns and not by the funds providing factor exposures. The authors argue that, rather than timing factors and factor managers, investors would be better off by using a buy-and-hold strategy and selecting a multifactor manager.

2021 ◽  
Vol 66 (230) ◽  
pp. 7-33
Author(s):  
Milos Bozovic

This paper studies the performance of mutual funds that specialise in equity investment. We use a sample of the top sixteen actively managed European equity funds operating in the United States between July 1990 and November 2020. Using standard factor models, we show that none of our sample funds generated a positive and significant alpha. The observed funds could not outperform a simple passive strategy that involves tradeable European benchmark portfolios in the longer run. As a rule, the funds in our sample did not exploit the known asset pricing anomalies.


2010 ◽  
Author(s):  
Scott Cederburg ◽  
Phil R. Davies ◽  
Michael S. O'Doherty

2011 ◽  
Author(s):  
Paul Docherty ◽  
H. Chan ◽  
Stephen Andrew Easton

2021 ◽  
pp. 227853372110257
Author(s):  
Asheesh Pandey ◽  
Rajni Joshi

We examine five important asset pricing anomalies, namely, size, value, momentum, profitability, and investment rate to evaluate their efficacy in major West European economies, that is, France, Germany, Italy, and Spain. We employ four prominent asset pricing models, namely Capital Asset Pricing Model (CAPM), Fama–French three-factor (FF3) model, Carhart model and Fama–French five-factor (FF5) model to evaluate whether portfolio managers can create trading strategies to generate risk-adjusted extra normal returns for their investors. We also examine the prominent anomalies which pass the test of asset pricing in our sample countries and evaluate the best performing asset pricing model in explaining returns in each of these countries. We find that in spite of being matured markets, these countries provide portfolio managers with opportunities to exploit these strategies to generate extra normal returns for their investors. Momentum anomaly for Germany and profitability anomaly for Italy can be exploited by fund managers for generating risk-adjusted returns. For France, except for net investment rate anomaly, all the other anomalies remained unexplained by asset pricing models. We also find CAPM to be the better model in explaining returns of Italy and Spain. While FF3 factor and FF5 factor models explain returns in Germany, our sample asset pricing models failed to work for France. Our study has implications for portfolio managers, academia, and policymakers.


2013 ◽  
Vol 03 (03n04) ◽  
pp. 1350016 ◽  
Author(s):  
Jing-Zhi Huang ◽  
Zhijian Huang

Empirical evidence on the out-of-sample performance of asset-pricing anomalies is mixed so far and arguably is often subject to data-snooping bias. This paper proposes a method that can significantly reduce this bias. Specifically, we consider a long-only strategy that involves only published anomalies and non-forward-looking filters and that each year recursively picks the best past-performer among such anomalies over a given training period. We find that this strategy can outperform the equity market even after transaction costs. Overall, our results suggest that published anomalies persist even after controlling for data-snooping bias.


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