Active mutual fund managers care about fund size, which is affected by common fund flows driven by macroeconomic shocks. Fund managers hedge against common flow shocks by tilting their portfolios toward low-flow-beta stocks. In equilibrium, common flow shocks earn a risk premium. A multi-factor...

We examine the relationship between the tonality of news flow and the cross section of expected stock returns. We use a comprehensive definition of media coverage that includes both financial newspapers and mass media, represented by TV broadcasts. Using the total news flow with positive and...

Low-risk investing within equities and other asset classes has received a lot of attention over the past decade. An intensive academic debate has spurred, and been spurred by, the growing market for low-risk strategies. This article presents five fact and dispels five fictions about low-risk...

We discuss performance of some known market anomalies like equal-weighted index, low volatility stock index, factor anomalies of Andrea Frazzini, Ronen Israel and Tobias J. Moskowitz. We suggest the utilization of these anomalies through dynamic risk allocation in portfolios based on these...

We recover a forward-looking distribution of expected abnormal returns (alphas)for active equity mutual funds from analyst ratings. Professional analysts believe thatalphas are dispersed, that the average fund will underperform, and that the largestfunds will outperform. We estimate a rational...

Using novel data establishing hedge fund families, we show that changes in overlapping hedge fund family positions predict abnormal returns in U.S. stocks. A long-short portfolio of unanimous family entries and exits in overlapping positions earns an annualized alpha of 7.32%. Panel regressions...

We give explicit algorithms and source code for extracting factors underlying Treasury yields using (unsupervised) machine learning (ML) techniques, such as nonnegative matrix factorization (NMF) and (statistically deterministic) clustering. NMF is a popular ML algorithm (used in computer...

We investigate the building blocks for institutional investors' successful investment strategies. We focus on organizations which formulate investment beliefs and define clear views on how the capital markets work. We present the results of a world wide survey of investment beliefs. We find...

Using a panel data set that provides detailed information on investors' stockholding, this paper studies the relationship between local bias and risk-adjusted portfolio return while controlling for alternative exogenous determinants within Sweden between the years of 2000 and 2007. Existing...

This paper studies hedge fund return predictability in a multivariate setting. Our research design and analysis is motivated by the empirical observations that a specific forecasting model that is going to perform well is not known ex-ante and that modelling time varying return...