Factor investing has failed to live up to its many promises. Its success is compromised by three problems that are often underappreciated by investors. First, many investors develop exaggerated expectations about factor performance as a result of data mining, crowding, unrealistic trading cost...

Impact costs occur when large buy or sell orders move market prices. The measurement of these costs is crucial for the evaluation of potential trading strategies as well as the successful execution of systematic investment strategies. However, common approaches suffer from a type of myopia:...

The high cost of capital for firms conducting medical research and development (R&D) has been partly attributed to the government risk facing investors in medical innovation. This risk slows down medical innovation because investors must be compensated for it. We propose new and simple financial...

Both Kosowski et al. (2006) and Fama and French (2010) evaluate whether mutual funds outperform, but their conclusions are very different. We reconcile their findings. We show that the Fama and French method suffers from an undersampling problem that leads to a failure to reject the null...

Theoretical models imply fund size and performance should be negatively linked. However, empiricists have failed to uncover consistent support for this negative relation. Using a new econometric framework which includes fund-specific sensitivities to decreasing returns to scale, we find a both...

We examine the contagion of investment ideas in a multiperiod setting in which investors are more likely to transmit their ideas to other investors after experiencing higher payoffs in one of two investment styles with different return distributions. We show that heterogeneous investment styles...

Value investing, as defined by the Fama–French HML factor, has underperformed growth investing since 2007, producing a drawdown of 55% as of mid-2020. The underperformance leads many to argue that value is dead. Our analysis attributes value's recent underperformance to two sources: the HML...

The rate of factor production in the academic research is out of control. We document over 400 factors published in top journals. Surely, many of them are false. We explore the incentives that lead to factor mining and explore reasons why many of the factors are simply lucky findings. The...

Common risk metrics reported in academia include volatility, skewness, and factor exposures. The maximum drawdown statistic is rarely calculated, perhaps because it is path dependent and estimated with greater uncertainty. In practice, however, asset managers and fiduciaries routinely use the...

The existing replication policies at top finance journals are far weaker than the policies at top economics journals. This paper explores both the costs and benefits of having a stronger replication policy in the context of my failed 2010 initiative to develop a unified policy across all top...