Arbeitspapier

Heteroeneous forecasters and nonlinear expectation formation in US stock market

We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectationformation process in the US stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time as market conditions summarized by stock-market misalignments and recent returns change. We find that survey participants form stabilizing expectations in the long run. Short-run expectations, in contrast, are consistent with weak mean reversion of stock prices.

Language
Englisch

Bibliographic citation
Series: FinMaP-Working Paper ; No. 29

Classification
Wirtschaft
Financial Forecasting and Simulation
Money and Interest Rates: Forecasting and Simulation: Models and Applications
Forecasting Models; Simulation Methods
Subject
Non-linear expectation formation
Survey data
Stock market
Heterogeneous agents

Event
Geistige Schöpfung
(who)
Pierdzioch, Christian
Reitz, Stefan
Ruelke, Jan-Christoph
Event
Veröffentlichung
(who)
Kiel University, FinMaP - Financial Distortions and Macroeconomic Performance
(where)
Kiel
(when)
2015

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Pierdzioch, Christian
  • Reitz, Stefan
  • Ruelke, Jan-Christoph
  • Kiel University, FinMaP - Financial Distortions and Macroeconomic Performance

Time of origin

  • 2015

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