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Investing Research Articles

859 Research Articles

Evaluating 5,017 Technical Trading Recommendations

Do equity trade recommendations from technical analysis experts beat the market? In his February 2016 paper entitled “Are Chartists Artists? The Determinants and Profitability of Recommendations Based on Technical Analysis”, Dirk Gerritsen evaluates technically based buy and sell recommendations for individual Dutch stocks and the AEX index. Specifically, he measures abnormal performance from 10 trading days… Keep Reading

Using OTM Equity Options Volume to Predict Stock Returns

Does trading of out-of-the-money (OTM) equity options expose exploitable private information? In their July 2016 paper entitled “Stock Return Predictability of Out-of-the-Money Option Trading”, Chang Mo Kang, Donghyun Kim and Geul Lee investigate relationships between OTM option trading volume and future returns of underlying stocks. They define OTM based on a range of option deltas and normalize OTM volume by dividing… Keep Reading

Testing 25 U.S. Stock Market Return Predictors

What variables best predict U.S. stock market returns? In his June 2016 paper entitled “Which Variables Predict and Forecast Stock Market Returns?”, David McMillan examines the power of 25 variables to predict excess return (relative to the 3-month U.S. Treasury bill yield) of Shiller’s S&P Composite Index both in-sample and out-of-sample. He chooses variables based on connectedness to expected… Keep Reading

Net Equity Index Option Buying Pressure and Future Returns

Does trading in stock index options exploitably predict the behavior of the stock market? In their June 2016 paper entitled “The Informational Role of Index Option Trading”, Tarun Chordia, Alexander Kurov and Avanidhar Subrahmanyam examine the relationship between U.S. equity index option net order imbalance and future S&P 500 Index returns. They calculate net order imbalance as the… Keep Reading

Factor Portfolio Valuation and Timing of Factor Premiums

Does timing of factor premiums work? In his June 2016 paper entitled “My Factor Philippic”, Clifford Asness addresses three critiques of the exploitability of stock factor premiums: Most factors are currently very overvalued (expected premiums are small), perhaps because of crowded bets on them. Factor portfolios may therefore crash. In fact, increasing factor valuations account for most… Keep Reading

Best Past Performance Metric for Stock Selection?

Should investors focus on past Sharpe ratio when picking individual stocks? In their June 2016 paper entitled “Don’t Stand So Close to Sharpe”, Angel Leon, Lluis Navarro and Belen Nieto compare 32 past performance metrics for effectiveness in selecting large capitalization U.S. stocks. They categorize these metrics into four groups: Eight related to Sharpe ratio. Six partial moment formulas (based on downside, or… Keep Reading

Experiences of Retail Currency Traders

How do individual currency traders view their trading experience? In his June 2016 paper entitled “Retail FX Trader Survey Results”, Chris Davison reports results of an anonymous survey of retail currency traders asking 14 questions about the way they trade. He elicited participants via posts on two online currency trading forums: Forex Factory and MyFXbook. Using responses from 133 traders… Keep Reading

Implications of 52-Week Highs and Lows for Stock Returns

Is nearness to 52-week highs or lows informative about future stock returns? In their June 2016 paper entitled “Nearness to the 52-Week High and Low Prices, Past Returns, and Average Stock Returns”, Li-Wen Chen and Hsin-Yi Yu examine the power of extreme price levels (52-week highs and lows) to predict stock returns, and whether any such predictive… Keep Reading

News Sentiment and Future Stock Returns

Can computer software extract exploitable sentiments about individual stocks as conveyed by news articles? In their June 2016 paper entitled “News Versus Sentiment: Predicting Stock Returns from News Stories”, Steven Heston and Nitish Sinha test whether firm news sentiment as interpreted by Thomson Reuters NewScope reliably predicts stock returns. Input data include article publication time, firm mentioned, headline, relevance to the firm, staleness and sentiment… Keep Reading

Feasibility of Cloning CTA-like Funds

Should investors believe that the financial industry can offer low-cost, liquid funds that reliably mimic Commodity Trading Advisor (CTA) hedge funds? In their June 2016 paper entitled “Just a One Trick Pony? An Analysis of CTA Risk and Return”, Jason Foran, Mark Hutchinson, David McCarthy and John O’Brien identify and examine performances of CTA-like hedge funds across eight distinct categories… Keep Reading