Stock momentum, long-term reversal, and other past return characteristics that predict future returns also predict future realized betas, suggesting these characteristics capture time-varying risk compensation. We formalize this argument with a conditional factor pricing model. Using...

We forecast monthly Value at Risk (VaR) and Conditional Value at Risk (CVaR) using option market data and four different econometric techniques. Independently from the econometric approach used, all models produce quick to estimate forward-looking risk measures that do not depend from the amount...

We propose and test a methodological framework to examine the relation between mutual fund fees and return predictability. Gil-Bazo and Ruiz-Verdu (2009) drew attention to the puzzling fact that funds with worse before-fee performance charge higher fees. We make another contribution to the...

The answer to the title question is "Yes." Examining stocks traded on the NYSE, AMEX and NASDAQ for the period of 1964 to 2009, this study discovers that, while momentum prevails among small stocks, momentum and reversals coexist among large stocks for a holding period of up to six months. The...

A great number of academic papers evaluate the potential for incentive-driven bias in sell-side analysts' earnings forecasts. Yet bias does not necessarily invalidate a forecast, nor does it impinge on its relative quality. We find that analysts' forecasts are optimistic relative to recently...

Regulators are not always able to anticipate how mandates will translate to financial reporting practice, particularly when managers are able to exercise reporting discretion. When XBRL, the eXtensible Business Reporting Language, was mandated by the SEC, financial analysts were among the...

This paper demonstrates the importance of inter-firm political links, measured by common campaign contributions made by firm executives. Price movements of a firm's stock are predictable based on stock price movements of connected firms. Cross-predictability is strongest among politically...

With new annual data of 16 developed countries across bond, equity, and housing markets, I study the return predictability using the payout-price ratios, i.e., coupon price, dividend price, and rent price. None of the 48 country-asset combinations shows consistent in-sample and out-of-sample...

We study the effect of the predictability of order imbalance on market quality. We measure the degree of predictability by using the predictive likelihood from a dynamic linear model where the dependent variable is the day-ahead order imbalance. Empirically, we show that increasing order...

Using the minute-frequency data of the top 30 coins listed on Binance, which represent 86% of the total dollar trading volume of the cryptocurrency market, we document strong evidence of cross-cryptocurrency return predictability. The lagged returns of other cryptocurrencies serve as significant...