Purpose - The present research aims to examine a range of momentum trading strategies for the tourism and hospitality sector. Design/methodology/approach - The paper followed the methodology of Jegadeesh and Titman (1993) to construct the portfolios. In this methodology, all portfolios were...

We establish that the risk-return tradeoff of cryptocurrencies (Bitcoin, Ripple, and Ethereum) is distinct from those of stocks, currencies, and precious metals. Cryptocurrencies have no exposure to most common stock market and macroeconomic factors or to the returns of currencies and...

We investigate the relation between downside beta and stock returns in a global context using more than 170 million daily return observations. Contrary to the findings in the U.S. equity market, we show that downside beta does not explain the cross-sectional differences in future and...

This paper reexamines the relation between various downside risk measures and future equity returns in a global context that spans 26 developed markets. We find that there is no significantly positive relation between systematic downside risk and the cross-section of equity returns, and in fact,...

The winner-minus-loser (WML) momentum strategy carries an inherent downside as its returns have negative coskewness. We propose a coskewness-volatility-managed momentum strategy that reduces the reversal risk of the baseline WML strategy by 61% and that of the volatility-managed momentum...

This paper investigates whether equity indices of 24 emerging and 28 developed markets compensate their investors equally after taking risk into account, and examines the predictive power of reward-to-risk ratios for expected market returns. We place special emphasis on downside risk by...

Is there a short-term reversal effect outside the universe of individual stocks? To answer this, we investigate a comprehensive dataset of more than two centuries of returns on five major asset classes: equity indices, government bonds, treasury bills, commodities, and currencies. Contrary to...

We provide empirical evidence that the returns on US equity momentum exhibit a time-varying skewness which deepens during dramatic losses (crashes). As a result, the dynamics of the strategy expected returns reflects the time variation in both conditional volatility and skewness. This has first...

We apply machine learning techniques and use stock characteristics to predict the cross-section of stock returns in 33 international markets. We conduct a stringent out-of-sample test to examine concerns about overfitting: the models are trained with past U.S. data and used to predict...