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Digesting Anomalies: An Investment Approach

TLDR
In this paper, the authors proposed a new factor model that consists of the market factor, a size factor, an investment factor, and a return-on-equity factor.
Abstract
Motivated from investment-based asset pricing, we propose a new factor model that consists of the market factor, a size factor, an investment factor, and a return-on-equity factor The new model [i] outperforms the Carhart (1997) four-factor model in pricing portfolios formed on earnings surprise, idiosyncratic volatility, financial distress, equity issues, as well as on investment and return-on-equity; [ii] performs similarly as the Carhart model in pricing portfolios on momentum as well as on size and book-to-market; but [iii] underperforms in pricing the total accrual deciles Our model's performance, combined with its clear economic intuition, suggests that it can serve as a new workhorse model for academic research and investment management practice

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Citations
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Cross-Sectional and Time-Series Tests of Return Predictability: What Is the Difference?

TL;DR: In this article, the differences between past-return based strategies that differ in conditioning on past returns in excess of zero (time-series strategy, TS) and past returns exceeding the cross-sectional average (cross-sectional strategy, CS) are analyzed.
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Corporate Governance, ESG, and Stock Returns around the World

TL;DR: In this paper, environmental, social, and governance (ESG) measures are potentially leading indicators of companies' financial performance, and they are used as indicators of the company's performance in the future.
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Anomalies and market (dis)integration

TL;DR: This paper showed that risk premia in one market should appear in the other, and their magnitudes should be consistent with each other, if equity and corporate bond markets are integrated, and they used this powerful insight to test market integration.
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The Information Content of the Sentiment Index

TL;DR: This paper decompose the widely used investor sentiment index into two components: one related to standard risk/business cycle variables and the other unrelated to those variables, and show that the power of the sentiment index to predict cross-sectional stock returns is mainly driven by the risk and business cycle component, while the residual component has little significance in predicting stock returns.
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A Transaction-Cost Perspective on the Multitude of Firm Characteristics

TL;DR: In this paper, the authors investigate how transaction costs change the number of characteristics that are jointly significant for an investor's optimal portfolio, and hence, how they change the dimension of the cross section of stock returns.
References
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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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Risk, Return, and Equilibrium: Empirical Tests

TL;DR: In this article, the relationship between average return and risk for New York Stock Exchange common stocks was tested using a two-parameter portfolio model and models of market equilibrium derived from the two parameter portfolio model.
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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.
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Does the Stock Market Overreact

TL;DR: In this article, a study of market efficiency investigates whether people tend to "overreact" to unexpected and dramatic news events and whether such behavior affects stock prices, based on CRSP monthly return data, is consistent with the overreaction hypothesis.
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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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