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The United Nations Principles for Responsible Investment (PRI) is the largest global environmental, social, and governance (ESG) initiative in the asset-management industry to date. We analyze what happens after active U.S. mutual funds sign the PRI to assess whether they exhibit ESG implementation. We find that PRI signatories attract a large fund inflow, but we do not observe improvements in fund-level ESG scores or fund returns. We consider a battery of ways to proxy for funds’ ESG incorporat

Abstract We propose a new methodology for forming arbitrage portfolios that utilizes the information contained in firm characteristics for both abnormal returns and factor loadings. The methodology gives maximal weight to risk-based interpretations of characteristics’ predictive power before any attribution is made to abnormal returns. We apply the methodology to simulated economies and to a large panel of U.S. stock returns. The methodology works well in our simulation and when applied to stock

Momentum strategies exhibit rare but dramatic losses (crashes), which we show are a result of the leverage dynamics of stocks in the momentum portfolio. When the economy is in a hidden turbulent state associated with a depressed and volatile stock market, the short-side of the momentum portfolio becomes highly levered, and behaves like a call option on the market index portfolio, making momentum crashes more likely. We develop a hidden Markov model of the unobserved turbulent state that affects

Abstract Using proprietary data from a major fund data provider, we analyze the screening activity of investment consultants (ICs). We find that ICs frequently shortlist funds using threshold screens clustered at $500MM for AUM, 0% for benchmark-adjusted return, and quartiles for return percentile rank screens. Funds just above the $500MM AUM threshold get 14%–18% more page views and 5–9 pp greater flows over the next year compared to similar funds just below the threshold. Our results are consi

Abstract We propose new methodology to construct arbitrage portfolios by utilizing information contained in firm characteristics for both abnormal returns and betas (and, therefore, smart-beta risk premiums). Our methodology gives maximal weight to risk-based interpretations of characteristics' predictive power before any attribution to abnormal returns. The method allows the explanatory power of a characteristic for both alpha and beta to ebb and flow. This feature is particularly important whe

<xref>Kim and Yoon (2021)</xref> assess whether active US mutual funds exhibit ESG implementation after they sign the United Nations Principles for Responsible Investment (PRI). In a stark contrast to the fact that PRI signatories attract a large fund inflow, we do not observe improvements in fund-level ESG scores or fund returns. Furthermore, PRI signatories are not likely to be superior in ESG issues prior to signing relative to non-PRI funds. Given these findings, a reasonable reader may perc