Forecasting the Equity Risk Premium: The Role of Technical Indicators

Christopher Neely, David E. Rapach (), Jun Tu () and Guofu Zhou ()
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David E. Rapach: Department of Economics, John Cook School of Business, Saint Louis University, St. Louis, Missouri 63108
Jun Tu: Department of Finance, Lee Kong Chian School of Business, Singapore Management University, Singapore 178899
Guofu Zhou: Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130, CAFR and CUFE

Management Science, 2014, vol. 60, issue 7, 1772-1791

Abstract: Academic research relies extensively on macroeconomic variables to forecast the U.S. equity risk premium, with relatively little attention paid to the technical indicators widely employed by practitioners. Our paper fills this gap by comparing the predictive ability of technical indicators with that of macroeconomic variables. Technical indicators display statistically and economically significant in-sample and out-of-sample predictive power, matching or exceeding that of macroeconomic variables. Furthermore, technical indicators and macroeconomic variables provide complementary information over the business cycle: technical indicators better detect the typical decline in the equity risk premium near business-cycle peaks, whereas macroeconomic variables more readily pick up the typical rise in the equity risk premium near cyclical troughs. Consistent with this behavior, we show that combining information from both technical indicators and macroeconomic variables significantly improves equity risk premium forecasts versus using either type of information alone. Overall, the substantial countercyclical fluctuations in the equity risk premium appear well captured by the combined information in technical indicators and macroeconomic variables.Data, as supplemental material, are available at http://dx.doi.org/10.1287/mnsc.2013.1838 . This paper was accepted by Wei Jiang, finance.

Keywords: equity risk premium predictability; macroeconomic variables; moving averages; momentum; volume; sentiment; out-of-sample forecasts; asset allocation; business cycle (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (497)

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http://dx.doi.org/10.1287/mnsc.2013.1838 (application/pdf)

Related works:
Working Paper: Forecasting the Equity Risk Premium: The Role of Technical Indicators (2011)
Working Paper: Out-of-sample equity premium prediction: economic fundamentals vs. moving-average rules (2010)
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