We compare the performance of popular covariance forecasting models in the context of a portfolio of major European equity indices. We find that models based on high-frequency data offer a clear advantage in terms of statistical accuracy. They also yield more theoretically consistent predictions...

This is the first study to investigate the profitability of Barroso and Santa-Clara's (2015) risk-managing approach for George and Hwang's (2004) 52-week high momentum strategy in an industrial portfolio setting. The findings indicate that risk-managing adds value as the Sharpe ratio increases,...

In this study, I develop a novel methodology to extract crash risk premia from options and stock markets. I document a dramatic increase in crash risk premia after the 2008/2009 nancial crisis, indicating that investors are willing to pay high insurance to hedge against crashes in individual...

This paper evaluates the cross comovements of illiquidity between stocks and corporate bonds issued by the same firm employing individual corporate bonds information from TRACE from July 2002 to December 2014. We analyze these relations in both a time series and a cross-sectional framework,...

This paper documents that the payoffs from investing in growth stocks, as measured by the decile-rank distributions (DRD) of future revenues, earnings, investment, as well as stock returns, follow a bimodal U-shaped distribution. By contrast, the DRD of value stocks follow a traditional...

Using monthly data from 01/1985 to 12/2012, we find that the accounting valuation-based predictor introduced in Lee, Myers, and Swaminathan (1999) has excellent in-sample and out-of-sample predictive performance. Our finding suggests that the accounting valuation-based predictor does not suffer...

This study shows how correlated information consumption (CIC) of retail investors relates to comovement in stock market outcomes. We construct clusters of stocks with CIC by employing network analysis on Google co-search data. We predict significant comovement in returns and liquidity of stocks...

This paper tests asset pricing models using individual stocks as test assets, rather than sorted portfolios. Sorted portfolios have the severe limitation that the researcher must know, in advance, reliable predictors of expected returns. We show how to generate appropriately sized tests and...

Investors' return expectations are pivotal in stock markets, but the reasoning behind these expectations remains a black box for economists. This paper sheds light on economic agents' mental models - their subjective understanding - of the stock market, drawing on surveys with the US general...

Investors' return expectations are pivotal in stock markets, but the reasoning behind these expectations remains a black box for economists. This paper sheds light on economic agents' mental models - their subjective understanding - of the stock market, drawing on surveys with the US general...