Beta-sorted portfolios—portfolios comprised of assets with similar covariation to selected risk factors—are a popular tool in empirical finance to analyze models of (conditional) expected returns. Despite their widespread use, little is known of their statistical properties in contrast to...

This study simultaneously analyzes the relation between aggregate stock market returns and cash flows (net purchases of equity) from a broad array of investor groups in the United States over a long period of time from 1952 to 2004. We find strong evidence that quarterly flows are...

This paper studies the effect of investor sentiment on stock returns in three Central European markets: the Czech Republic, Hungary and Poland. The results show that sentiment is a key variable in the prices of stocks traded on these markets and its impact is stronger here than in more developed...

This study cross-checks the symmetric and asymmetric effects of investor’s optimistic and pessimistic sentiments of Bitcoin on 23 sectoral stock return indices (10 Islamic stock sectoral indices and one composite Islamic market index by Dow Jones Islamic market and 12 industrial indices by...

We study dynamic portfolio choice of a long-horizon investor who uses deep learning methods to predict equity returns when forming optimal portfolios. Our results show statistically and economically significant benefits from using deep learning to form optimal portfolios through certainty...

We construct a momentum factor that identifies cross-sectional winners and losers based on a weighting scheme that incorporates all the price data, over the entire lookback period, as opposed to only the first and last price points of the window. The weighting scheme is derived from the...

Multiperiod portfolio choice is the central problem in active asset management. Multiperiod dynamic portfolios are notoriously difficult to solve, especially when there are hundreds of tradable assets as well as a large number of state variables. In this paper, we develop a novel two-step...

Portfolio managers and individual investors alike are in quest of efficient asset allocation models that simultaneously express environmental, social, and governance (ESG) considerations along with investor behavioral biases. The current study presents a novel approach to optimize the behavioral...

A value investing strategy consists of purchasing stocks relatively undervalued to their funda-mental values and selling those relatively overvalued. Finding this kind of companies has been one of the most challenging goals for investors throughout the history. The main objective of this paper...

Institutional funds have concentrated ownership by a few institutional investors, infrequent outflows and essentially no leverage. Yet using unique granular data on the bond holdings of institutional funds, we show that their trading behavior is strongly procyclical: they actively move into...