Investing Research Articles

How well do long-short stock strategies work, after accounting for all costs? In their February 2014 paper entitled “Assessing the Cost of Accounting-Based Long-Short Trades: Should You Invest a Billion Dollars in an Academic Strategy?”, William Beaver, Maureen McNichols and Richard Price examine the net attractiveness of several long-short strategies as stand-alone investments (as for… Keep Reading

Does the expanding set of exchange-traded funds (ETF) support reliable replication (cloning) of future hedge fund returns? In their March 2014 paper entitled “In Search of Missing Risk Factors: Hedge Fund Return Replication with ETFs”, Jun Duanmu, Yongjia Li and Alexey Malakhov investigate the use of ETFs as factors in constructing hedge fund clones. They… Keep Reading

Can the best traders reliably exploit the ex-dividend effect (the tendency for dividend-paying stocks to fall by less than the dividend amount after paying the dividend)? In their March 2014 paper entitled “Ex-Dividend Profitability and Institutional Trading Skill”, Tyler Henry and Jennifer Koski examine whether highly skilled traders bearing very low transaction costs (some institutions)… Keep Reading

How should investors interpret findings of statistical significance in academic studies of financial markets? In the March 2014 draft of their paper entitled “Significance Testing in Empirical Finance: A Critical Review and Assessment”, Jae Kim and Philip Ji review significance testing in recent research on financial markets. They focus on interplay of two types of… Keep Reading

Do some stocks react more strongly to economic uncertainty than others? In the March 2014 draft of their paper entitled “Cross-Sectional Dispersion in Economic Forecasts and Expected Stock Returns”, Turan Bali, Stephen Brown and Yi Tang examine the role of economic uncertainty in the pricing of individual stocks. They measure economic uncertainty as disagreement (dispersion)… Keep Reading

Is expected crude oil price volatility (risk) an important economic indicator, thereby influencing stock market and individual stock returns? In their February 2014 paper entitled “Oil Risk Exposure and Expected Stock Returns”, Peter Christoffersen and Nick Pan analyze the impact of expected oil risk on the U.S. stock market and on the cross section of… Keep Reading

Are Google Trends data an independently useful tool in predicting stock returns? In their March 2014 paper entitled “Do Google Trend Data Contain More Predictability than Price Returns?”, Damien Challet and Ahmed Bel Hadj Ayed apply non-linear machine learning methods to measure whether Google Trends data outperform past returns in predicting future stock returns. They focus on avoiding… Keep Reading

Does aggregate short interest serve as an intermediate-term stock market indicator based on either momentum (shorting begets shorting) or reversion (covering follows shorting)? To investigate, we relate the behavior of NYSE aggregate short interest with that of SPDR S&P 500 (SPY). Prior to September 2007, NYSE aggregate short interest is monthly (as of the middle… Keep Reading

Is there a way to avoid the stock momentum crashes that occur when the positive feedback loop between past and future returns breaks down? In his November 2013 paper entitled “Crowded Trades, Short Covering, and Momentum Crashes“, Philip Yan investigates the power of the interaction between short interest and institutional trading activity to explain stock… Keep Reading

Do implications of equity option prices predict returns for underlying stocks? In their December 2013 paper entitled “Option-Implied Volatility Measures and Stock Return Predictability” Xi Fu, Eser Arisoy, Mark Shackleton and Mehmet Umutlu compare the abilities of various option-implied volatility metrics to predict returns for individual stocks at horizons of one to three months. Specifically, they… Keep Reading