Investing Research Articles

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

How do gold and gold miner stocks interact? In his February 2014 presentation package entitled “A Golden Bet: Gold Miner Equities versus Gold”, Claude Erb examines the long-run relationship between gold and a gold miner stock indexes. He relies mostly on in-sample regressions over a 20-year sample period. Using monthly gold price and gold miner… Keep Reading

A subscriber flagged an apparently very attractive exchange-traded fund (ETF) momentum-volatility-correlation strategy that, as presented, generates a optimal compound annual growth rate of 45.7% with modest maximum drawdown. The strategy chooses from among the following seven ETFs: ProShares Ultra S&P500 (SSO) SPDR EURO STOXX 50 (FEZ) iShares MSCI Emerging Markets (EEM) iShares Latin America 40… Keep Reading

Are currency traders the last ones to know? In the February 2014 draft of their paper entitled “Cross-Asset Return Predictability: Carry Trades, Stocks and Commodities”, Helen Lu and Ben Jacobsen investigate whether commodity and stock index returns predict currency carry trade performance. They consider equally weighted carry trade strategies that each month buy (sell) one-month forward… Keep Reading

Are there parallels at the country stock market level of the size, value and momentum effects observed for individual stocks? In their January 2014 paper entitled “Value, Size and Momentum across Countries”, Adam Zaremba and Przemysław Konieczka investigate country-level value, size and momentum premiums. They measure these factors at the country level as: Value (V): book-to-market ratio of country… Keep Reading

…evidence suggests that investors may be able to boost returns by incorporating a liquidity style into stock selection.

A reader observed: “One of the problems with simple moving average (SMA) crossing rules is the churning from random price movements across the average. Lars Kestner proposes improvements to SMA crossing rules that signal: BUY when: (1) the close crosses over an SMA of the highs (rather than the closes); and, (2) the SMA of… Keep Reading