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Incorporating Economic Policy Uncertainty in US Equity Premium Models: A Nonlinear Predictability Analysis

Author

Listed:
  • Stelios Bekiros

    (European University Institute (EUI) and IPAG Business School)

  • Rangan Gupta

    (Department of Economics, University of Pretoria and IPAG Business School)

  • Anandamayee Majumdar

    (Center for Advanced Statistics and Econometrics, Soochow University, Suzhou, China)

Abstract

Information on economic policy uncertainty does matter in predicting the US equity premium, especially when accounting for structural instabilities and omitted nonlinearities in their relationship, via a quantile predictive regression approach over the monthly period 1900:1-2014:2. Unlike as suggested by a linear mean-based predictive model, the extended quantile regression model with the incorporation of the EPU proxy, enhances significantly the out-of-sample stock return predictability. This is observed especially when the market is neutral, exhibits a side or mildly upward trending behavior, yet not when the market appears to turn highly bullish.

Suggested Citation

  • Stelios Bekiros & Rangan Gupta & Anandamayee Majumdar, 2015. "Incorporating Economic Policy Uncertainty in US Equity Premium Models: A Nonlinear Predictability Analysis," Working Papers 201545, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201545
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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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