Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104623
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dc.contributorSchool of Accounting and Financeen_US
dc.creatorLi, Xen_US
dc.creatorFeng, Hen_US
dc.creatorYang, Hen_US
dc.creatorHuang, Jen_US
dc.date.accessioned2024-02-19T05:55:49Z-
dc.date.available2024-02-19T05:55:49Z-
dc.identifier.issn2095-4816en_US
dc.identifier.urihttp://hdl.handle.net/10397/104623-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.en_US
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.en_US
dc.rightsThe following publication Li, X., Feng, H., Yang, H., & Huang, J. (2023). Can ChatGPT reduce human financial analysts’ optimistic biases? Economic and Political Studies, 12(1), 20-33 is available at https://doi.org/10.1080/20954816.2023.2276965.en_US
dc.subjectAnalyst forecasten_US
dc.subjectChatGPTen_US
dc.subjectHuman–machine interactionen_US
dc.subjectLarge language modelsen_US
dc.subjectOptimistic biasesen_US
dc.titleCan ChatGPT reduce human financial analysts’ optimistic biases?en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage20en_US
dc.identifier.epage33en_US
dc.identifier.volume12en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1080/20954816.2023.2276965en_US
dcterms.abstractThis 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 role in reducing human biases in financial decision-making.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEconomic and political studies, 2024, v. 12, no. 1, p. 20-33en_US
dcterms.isPartOfEconomic and political studiesen_US
dcterms.issued2024-
dc.identifier.scopus2-s2.0-85177589202-
dc.identifier.eissn2470-4024en_US
dc.description.validate202402 bckwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Others, a2854-
dc.identifier.SubFormID48576-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Social Science Foundation of China; National Natural Science Foundation of China; Swiss National Science Foundation (SNSF)en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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