Publication:

Can ChatGPT reduce human financial analysts’ optimistic biases?

Date

Date

Date
2024
Journal Article
Published version

Citations

Citation copied

Li, X., Feng, H., Yang, H., & Huang, J. (2024). Can ChatGPT reduce human financial analysts’ optimistic biases? Economic and Political Studies, 12(1), 20–33. https://doi.org/10.1080/20954816.2023.2276965

Abstract

Abstract

Abstract

This paper examines the potential of ChatGPT, a large language model, as a financial advisor for listed firm performance forecasts. We focus on the constituent stocks of the China Securities Index 300 and compare ChatGPT’s forecasts for major financial performance measures with human analysts’ forecasts and the realised values. Our findings suggest that ChatGPT can correct the optimistic biases of human analysts. This study contributes to the literature by exploring the potential of ChatGPT as a financial advisor and demonstrating its

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130 since deposited on 2024-01-25
Acq. date: 2025-11-12

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119 since deposited on 2024-01-25
Acq. date: 2025-11-12

Additional indexing

Creators (Authors)

  • Li, Xiaoyang
    affiliation.icon.alt
  • Feng, Haoming
    affiliation.icon.alt
  • Yang, Hailong
    affiliation.icon.alt
  • Huang, Jiyuan
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
12

Number

Number

Number
1

Page range/Item number

Page range/Item number

Page range/Item number
20

Page end

Page end

Page end
33

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

ChatGPT, Large language model, Analyst forecast, Optimistic biases, Human-machine interaction

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Publication date

Publication date

Publication date
2024-01-02

Date available

Date available

Date available
2024-01-25

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2095-4816

Additional Information

Additional Information

Additional Information
This is an Accepted Manuscript of an article published by Taylor & Francis in Economic and Political Studies on 02. Januar 2024, available online: http://wwww.tandfonline.com/10.1080/20954816.2023.2276965.

OA Status

OA Status

OA Status
Hybrid

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:24297

Metrics

Downloads

130 since deposited on 2024-01-25
Acq. date: 2025-11-12

Views

119 since deposited on 2024-01-25
Acq. date: 2025-11-12

Citations

Citation copied

Li, X., Feng, H., Yang, H., & Huang, J. (2024). Can ChatGPT reduce human financial analysts’ optimistic biases? Economic and Political Studies, 12(1), 20–33. https://doi.org/10.1080/20954816.2023.2276965

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Files

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