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Nonlinear Expectation Formation in the U.S. Stock Market

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  • Reitz, Stefan
  • Pierdzioch, Christian
  • Rülke, Jan-Christoph

Abstract

This research applies data from the Livingston survey to study the time variation in the sentiment of U.S. stock-market forecasters. A Panel Smooth Transition Regression (STR) model is estimated to identify the importance of market conditions summarized by stock-market misalignments and recent returns for the formation of regressive and extrapolative expectations. We find that survey participants expect little mean reversion in times of large misalignments reflecting the observed substantial and persistent swings in stock prices. Recent returns are negatively extrapolated depending on the sign and the size of the return revealing a contrarian behavior of forecasters in the presence of market exuberance.

Suggested Citation

  • Reitz, Stefan & Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "Nonlinear Expectation Formation in the U.S. Stock Market," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113210, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc15:113210
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    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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