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3592 Research Articles

Use VIX Technical Signals to Trade Stock Indexes?

Can the forward-looking aspect of the S&P 500 Volatility Index (VIX) amplify technical analysis? In their September 2011 paper entitled “Using VIX Data to Enhance Technical Trading Signals”, James Kozyra and Camillo Lento apply nine simple technical trading rules (three each moving average crossovers, filters and trading range breakouts) to VIX to generate daily trading signals for the… Keep Reading

Prediction of Industry-level Returns Based on Oil Price Changes

Do oil price variations reliably affect returns for U.S. industry-level stock portfolios? In the June 2011 draft of their paper entitled “U.S. Industry-Level Returns and Oil Prices”, Qinbin Fan and Mohammad Jahan-Parvar apply several tests to investigate how oil price changes impact stock returns for 49 U.S. industries. They test economic significance by: (1) using a 60-month rolling historical window… Keep Reading

First and Last Hours of Trading

Do U.S. stock market returns during the first and last hours of normal trading days reliably indicate what comes next? To investigate, we analyze average SPDR S&P 500 (SPY) returns during 9:30-10:30, 9:30-15:00, 9:30-16:00 and 15:00-16:00 for normal trading days during 2007 (bullish year) and 2008 (bearish year). Using a sample of SPY one-minute prices spanning 2007-2008, we find… Keep Reading

Intraday U.S. Stock Market Behavior

Does the U.S. stock market exhibit predictable return and volatility patterns during the trading day? To investigate, we analyze one-minute prices for SPDR S&P 500 (SPY) over two recent years. Specifically, we calculate average cumulative return, average returns for 15-minute intervals and average standard deviation of one-minute returns during 15-minute intervals over the trading day during… Keep Reading

Disappearance of the Momentum Effect

Has the stock market adapted to widespread investor efforts to exploit intermediate-term return momentum? In their paper entitled “Momentum Loses Its Momentum: The Implication on Market Efficiency”, Debarati Bhattacharya, Raman Kumar and Gokhan Sonaer evaluate the robustness of momentum returns in the U.S. stock market over time via consideration of three subperiods: 1965-1989 (SP1), 1990-1998… Keep Reading

Gain and Loss Learning

Do distinct neural processes for rewards and punishments result in distinct variation in learning about financial gains and financial losses? If so, is such variation material to wealth-building? In their September 2011 paper entitled “Gain and Loss Learning Differentially Contribute to Life Financial Outcomes”, Brian Knutson, Gregory Samanez-Larkin and Camelia Kuhnen examine whether individual differences in… Keep Reading

Monthly News Sentiment Predicts Stock Market Returns?

Does news lead the stock market? In his September 2011 paper entitled “Reuters Sentiment and Stock Returns”, Matthias Uhl tests whether aggregate Thomson Reuters news sentiment (feeling, opinion or emotion evoked while reading a Reuters news article) predicts stock market returns at a monthly frequency. He aggregates monthly sentiment by summing individual articles coded as evoking positive… Keep Reading

Announcement Tone and Short-term Reaction to Earnings News

Does the semantic tone of an earnings announcement, as measured independently of the level of earnings surprise, affect stock price reaction. In his September 2011 paper entitled “Short-term Reactions to News Announcements”, Michal Dzielinski investigates the effect of the tone (positive, neutral or negative) of the words in earnings announcements and other company news on stock prices from… Keep Reading

Russell 2000 Index Buy-Write Strategy Performance

Does a simple strategy of iteratively selling covered calls (buy-write) on the Russell 2000 Index beat buying and holding the index? In their September 2011 paper entitled “15 Years of the Russell 2000 Buy‐Write”, Nikunj Kapadia and Edward Szado evaluate returns on ten alternative buy‐write strategies for the Russell 2000 Index. Specifically, they consider one-month and two-month maturities and five levels of approximate moneyness: at-the-money (ATM); 2% and 5%… Keep Reading

Bull, Bear, Wolf, Sheep…?

The conventional binary animal metaphor for markets is bull (good returns, low volatility) and bear (poor returns, high volatility). Does rigorous analysis of empirical evidence support belief in (just) two market states? In their September 2011 paper entitled “The Number of Regimes Across Asset Returns: Identification and Economic Value”, Mathieu Gatumel and Florian Ielpo apply a regime-switching model and Monte… Keep Reading