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Cited by 396

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Diagnostic Expectations and Stock Returns

BORDALO, PEDRO, GENNAIOLI, NICOLA, PORTA, RAFAEL LA, SHLEIFER, ANDREI·2019·The Journal of Finance

Abstract

We revisit La Porta's finding that returns on stocks with the most optimistic analyst long‐term earnings growth forecasts are lower than those on stocks with the most pessimistic forecasts. We document the joint dynamics of fundamentals, expectations, and returns of these portfolios, and explain the facts using a model of belief formation based on the representativeness heuristic. Analysts forecast fundamentals from observed earnings growth, but overreact to news by exaggerating the probability of states that have become more likely. We find support for the model's predictions. A quantitative estimation of the model accounts for the key patterns in the data.

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Metadata

Authors
BORDALO, P., GENNAIOLI, N., PORTA, R. L., & SHLEIFER, A.
Venue
The Journal of Finance
Publisher
Wiley
Published
2019-07-23
Volume
74
Issue
6
Pages
2839-2874
ISSN
  • 0022-1082 (ISSN-L)
  • 1540-6261
OpenAlex
W2758449449
Cited by
396
References
46
FWCI
43.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Diagnostic Expectations and Stock Returns. https://app.cochat.ai/papers/10.1111/jofi.12833
The paper
BORDALO, P., GENNAIOLI, N., PORTA, R. L., & SHLEIFER, A. (2019). Diagnostic Expectations and Stock Returns. The Journal of Finance. https://doi.org/10.1111/jofi.12833

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.