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Investing Research Articles

3592 Research Articles

Stock Market Timing Using P/E SMA Signals

A subscriber proposed four alternative ways of timing the U.S. stock market based on simple moving averages (SMA) of the market price-earnings ratio (P/E), as follows: 5-Year Binary – hold stocks (cash) when P/E is below (above) its 5-year SMA. 10-Year Binary – hold stocks (cash) when P/E is below (above) its 10-year SMA. 15-Year Binary… Keep Reading

Mojena Market Timing Model

The Mojena Market Timing strategy (Mojena), developed and maintained by professor Richard Mojena, is a method for timing the broad U.S. stock market based on a combination of many monetary, fundamental, technical and sentiment indicators to predict changes in intermediate-term and long-term market trends. He adjusts the model annually to incorporate new data. Professor Mojena offers… Keep Reading

Best Profitability Metric for Predicting Stock Returns?

Is there a best way for investors to measure firm profitability for global stock selection? In their August 2018 paper entitled “Constructing a Powerful Profitability Factor: International Evidence”, Matthias Hanauer and Daniel Huber investigate which measure of firm profitability best predicts associated stock returns. They consider six measures: return on equity; gross profitability; operating profitability calculated in… Keep Reading

Actual Global Stock Trading Frictions

How, and how well, do institutional equity traders manage global stock trading frictions? In the April 2018 draft of their paper entitled “Trading Costs”, Andrea Frazzini, Ronen Israel and Tobias Moskowitz examine the real-world trading frictions of a large trader. They define trading frictions as the difference in results between a theoretical portfolio with zero frictions and a… Keep Reading

A Few Notes on The Wealth Elite

Rainer Zitelmann prefaces his 2018 book, The Wealth Elite: A Groundbreaking Study of the Psychology of the Super Rich, as follows: “For this book, I succeeded in convincing 45 wealthy people to talk to me. …Without exception, the interviewees were entrepreneurs or investors… The interviews were conducted in person between September 2015 and March 2016, and each lasted… Keep Reading

Downside Risk Premiums

Does focusing on downside risk (volatility or beta) consistently produce more accurate forecasts of asset returns? In their July 2018 paper entitled “Tail Risk in the Cross Section of Alternative Risk Premium Strategies”, Bernd Scherer and Nick Baltas investigate how well downside risk explains cross-sectional returns of 260 risk factor strategies spanning asset classes and investment styles… Keep Reading

Crypto-asset Risks and Returns

How do the major crypto-assets (Bitcoin, Ripple, and Ethereum) stack up against conventional asset classes? In their August 2018 paper entitled “Risks and Returns of Cryptocurrency”, Yukun Liu and Aleh Tsyvinski apply standard tools of asset pricing to measure crypto-asset exposures to: 160 equity factors. Macroeconomic factors (non-durable consumption growth, durable consumption growth, industrial production growth, and… Keep Reading

“Current High” Boost for SACEMS?

A subscriber asked whether applying a filter that restricts monthly asset selections of the “Simple Asset Class ETF Momentum Strategy” (SACEMS) to those currently at an intermediate-term high improves performance. This strategy each month reforms a portfolio of winners from the following universe based on total return over a specified lookback interval: PowerShares DB Commodity Index… Keep Reading

Timing the Dividend Risk Premium

Do stock dividends exhibit exploitable risk premiums? In their July 2018 paper entitled “A Model-Free Term Structure of U.S. Dividend Premiums”, Maxim Ulrich, Stephan Florig and Christian Wuchte construct a term structure of the dividend risk premium and test strategies to time this premium at specific horizons. They specify dividend risk premium as the spread between: Expected dividend growth… Keep Reading

Bringing Order to the Factor Zoo?

From a purely statistical perspective, how many factors are optimal for explaining both time series and cross-sectional variations in stock anomaly/stock returns, and how do these statistical factors relate to stock/firm characteristics? In their July 2018 paper entitled “Factors That Fit the Time Series and Cross-Section of Stock Returns”, Martin Lettau and Markus Pelger search for the… Keep Reading