Are survey stock price forecasts anchored by fundamental forecasts? A long-run perspective

Article


Kuang, P., Tang, L., Zhang, R. and Zhang, T. 2024. Are survey stock price forecasts anchored by fundamental forecasts? A long-run perspective. Economic Theory. https://doi.org/10.1007/s00199-024-01597-2
TypeArticle
TitleAre survey stock price forecasts anchored by fundamental forecasts? A long-run perspective
AuthorsKuang, P., Tang, L., Zhang, R. and Zhang, T.
Abstract

This paper firstly shows that a wide range of asset pricing models, including full information and Bayesian rational expectations models, typically imply that agents use the long-run cointegration relationship between stock prices and fundamentals to forecast future stock prices. However, using several widely used survey forecast datasets, we provide robust new evidence that survey stock price forecasts are not cointegrated with forecasts of fundamentals (aggregate consumption, dividend, and output), both at the consensus and individual level. We argue that it is crucial to relax investors’ common knowledge of the equilibrium pricing function to reconcile this finding.

KeywordsSurvey expectation; Asset pricing; Cointegration
Sustainable Development Goals8 Decent work and economic growth
Middlesex University ThemeSustainability
Research GroupCentre for Enterprise, Environment and Development Research (CEEDR)
PublisherSpringer
JournalEconomic Theory
ISSN0938-2259
Electronic1432-0479
Publication dates
Online14 Jul 2024
Publication process dates
Submitted27 Sep 2023
Accepted21 Jun 2024
Deposited06 Jun 2024
Output statusPublished
Publisher's version
License
File Access Level
Open
Copyright Statement

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Digital Object Identifier (DOI)https://doi.org/10.1007/s00199-024-01597-2
Web of Science identifierWOS:001270943600001
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