Contrast effects: The phantom of an analyst's latest earnings forecasts

Abstract Psychology research on contrast effects suggests that information from a previous decision may be compared with the information of the current task. We document a new stylized fact that an analyst's current annual earnings forecast error of one firm is negatively correlated with her latest forecast revision of another firm. We tease out contrast effects as the main driving force of this negative relationship by excluding other potential mechanisms such as firms' information environment and analyst constraints. We show that variables which may influence analysts' retrieval of past experiences have significant impacts on the magnitude of contrast effects, as predicted by the memory‐based valuation model.

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Publication Details

Journal
International Review of Finance
Published
2025-10-08
DOI
https://doi.org/10.1111/irfi.70041
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
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article

Contrast effects: The phantom of an analyst's latest earnings forecasts

Huan Cai, Jie Zheng, Xiaodi Zhang
International Review of Finance
Financial Markets and Investment Strategies
article

Contrast effects: The phantom of an analyst's latest earnings forecasts

Huan Cai, Jie Zheng, Xiaodi Zhang
article en

Abstract

Abstract Psychology research on contrast effects suggests that information from a previous decision may be compared with the information of the current task. We document a new stylized fact that an analyst's current annual earnings forecast error of one firm is negatively correlated with her latest forecast revision of another firm. We tease out contrast effects as the main driving force of this negative relationship by excluding other potential mechanisms such as firms' information environment and analyst constraints. We show that variables which may influence analysts' retrieval of past experiences have significant impacts on the magnitude of contrast effects, as predicted by the memory‐based valuation model.

International Review of FinanceVol. 25(4)
Shandong University (CN), Shanghai University of Finance and Economics (CN), Cornell University (US), Shandong Management University (CN)
Openalex Percentile: Top 64%
Financial Markets and Investment Strategies
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