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A new hedging hypothesis regarding prediction interval formation in stock price forecasting

  • Changzhou University
  • Cardiff University

Research output: Contribution to journalArticlepeer-review

Abstract

AbstractWe propose and test a simple hedging hypothesis for prediction interval formation in stock price forecasting. In the presence of uncertainty, forecasters hedge their forecasts by adjusting the bounds of the prediction interval in a way that reflects their forecast of the average forecast of others. This hypothesis suggests a positive relationship between the belief wedge, defined as the difference between the subject's forecast of the average forecast of others and the subject's own point forecast, and the asymmetry of the prediction interval. Empirical support for the hedging hypothesis is drawn from two in‐class surveys, an experiment, and a large survey of professional analysts' forecasts of future stock prices.
Original languageEnglish
Pages (from-to)697-717
Number of pages21
JournalJournal of Forecasting
Volume41
Issue number4
Early online date27 Sept 2021
DOIs
Publication statusPublished - 21 Oct 2021

Keywords

  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty
  • Strategy and Management
  • Computer Science Applications
  • Modeling and Simulation
  • Economics and Econometrics

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