This study investigates if changes in risk-neutral systematic volatility, skewness, and kurtosis, are priced, either symmetrically or asymmetrically, as systematic risk factors in the cross-section of stock returns. The moments are constructed using options on the S&P 500, and represent...

We use extreme value theory to analyse the tails of a momentum strategy's return distribution. The asymmetry between the fat left tail and thin right tail strongly reduces a momentum strategy's prospective utility levels

The authors explore the risk-return properties of simple momentum strategies in six major government-bond markets and find that trend-following investment rules generate positive information ratios in the 1987-2011 sample period. They simulate the combination of momentum portfolios with...

This paper compares the size and book-to-market value factors of Fama and French (1993) alongside Momentum of Jagadeesh and Titman (1993) with two Liu (2006) liquidity factors formed from 1 year rebalancing and 1 month rebalancing respectively. A heterogeneous and comprehensive sample of the top...

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...

This paper challenges the prevailing view that investor sentiment is a contrarian predictor of market returns at nearly all horizons. As an important piece of "out-of-sample" evidence, we document that investor sentiment in China is a reliable momentum signal at monthly frequency. The strong...

We analyze a novel alpha momentum strategy that invests in stocks based on three-factor alphas which we estimate using daily returns. The empirical analysis for the U.S. and for Europe shows that i) past alpha has power in predicting the cross-section of stock returns, ii) alpha momentum...

Machine learning techniques have gained enormously in popularity in recent years, but so far only to a very limited extent in fixed income research. In this paper we therefore like to do some pioneering work and apply Boosted Regression Trees to Equity Momentum in the corporate bond market. We...

This study proposes a new ranking criterion for constructing momentum portfolios, namely, risk-adjusted cross-sectional momentum. We propose the combination of traditional cross-sectional momentum strategies with different volatility timing strategies in the form of the Sharpe ratio. Then, we...

A direct measure of the cyclicality of momentum at a given point in time, its bottom-up beta with respect to the market, forecasts both the returns and the risk of the strategy. Challenging a potential risk-based explanation, a highly cyclical momentum portfolio forecasts both higher risk and...