Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105747
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dc.contributorSchool of Accounting and Finance-
dc.creatorAhmad, M-
dc.creatorWu, Q-
dc.date.accessioned2024-04-16T06:01:19Z-
dc.date.available2024-04-16T06:01:19Z-
dc.identifier.issn1755-4179-
dc.identifier.urihttp://hdl.handle.net/10397/105747-
dc.language.isoenen_US
dc.publisherEmerald Publishing Limiteden_US
dc.rights© Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.en_US
dc.rightsThe following publication Ahmad, M. and Wu, Q. (2024), "Heuristic-driven biases as mental shortcuts in investment management activities: a qualitative study", Qualitative Research in Financial Markets, Vol. 16 No. 2, pp. 291-309 is published by Emerald and is available at https://doi.org/10.1108/QRFM-10-2022-0167.en_US
dc.subjectCognitive heuristic-driven biasesen_US
dc.subjectInvestment decisions and performanceen_US
dc.subjectRecognition-based heuristic biasesen_US
dc.titleHeuristic-driven biases as mental shortcuts in investment management activities : a qualitative studyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage291-
dc.identifier.epage309-
dc.identifier.volume16-
dc.identifier.issue2-
dc.identifier.doi10.1108/QRFM-10-2022-0167-
dcterms.abstractPurpose: This study aims to use a qualitative approach to explore and clarify the mechanism by which heuristic-driven biases influence the decisions and performance of individual investors actively trading on the Pakistan Stock Exchange (PSX). It also aims to identify how to overcome the negative effect of heuristic-driven biases, so that finance practitioners can avoid the expensive errors which they cause.-
dcterms.abstractDesign/methodology/approach: This study adopts an interpretative approach. Qualitative data was collected in semistructured interviews, in which the target population was asked open-ended questions. The sample consists of five brokers and/or investment strategists/advisors who maintain investors’ accounts or provide investment advice to investors on the PSX, who were selected on a convenient basis. The researchers analyzed the interview data thematically.-
dcterms.abstractFindings: The results confirm that investors often use heuristics, causing several heuristic-driven biases when trading on the stock market, specifically, reliance on recognition-based heuristics, namely, alphabetical ordering of firm names, name memorability and name fluency, as well as cognitive heuristics, such as herding behavior, disposition effect, anchoring and adjustment, repetitiveness, overconfidence and availability biases. These lead investors to make suboptimal decisions relating to their investment management activities. Due to these heuristic-driven biases, investors trade excessively in the stock market, and their investment performance is adversely affected.-
dcterms.abstractOriginality/value: This study provides a practical framework to explore and clarify the mechanism by which heuristic-driven biases influence investment management activities. To the best of authors’ knowledge, the current study is the first to focus on links between heuristic-driven biases, investment decisions and performance using a qualitative approach. Furthermore, with the help of a qualitative approach, the investigators also highlight some factors causing an increased use of heuristic variables by investors and discuss practical approaches to overcoming the negative effects of heuristics factors, so that finance practitioners can avoid repeating the expensive errors which they cause, which also differentiates this study from others.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationQualitative research in financial markets, 2024, v. 16, no. 2, p. 291-309-
dcterms.isPartOfQualitative research in financial markets-
dcterms.issued2024-
dc.identifier.eissn1755-4187-
dc.description.validate202404 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera2673-n02en_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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