Reproducibility of Empirical Results: Evidence from 1,000 Tests in Finance

Medientyp: E-Book

Titel: Reproducibility of Empirical Results : Evidence from 1,000 Tests in Finance

Beteiligte: Pérignon, Christophe [Verfasser:in]; Akmansoy, Olivier [Verfasser:in]; Hurlin, Christophe [Verfasser:in]; Dreber, Anna [Verfasser:in]; Holzmeister, Felix [Verfasser:in]; Huber, Juergen [Verfasser:in]; Johannesson, Magnus [Verfasser:in]; Kirchler, Michael [Verfasser:in]; Menkveld, Albert J. [Verfasser:in]; Razen, Michael [Verfasser:in]; Weitzel, Utz [Verfasser:in]

Erschienen: [S.l.]: SSRN, [2022]

Umfang: 1 Online-Ressource (38 p)

Sprache: Englisch

DOI: 10.2139/ssrn.4064172

Identifikator:

Schlagwörter: computational reproducibility ; open science ; credibility of research ; multi-analyst study ; data-availability policy ; scientific publishing

Entstehung:

Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 22, 2022 erstellt

Beschreibung: We analyze the computational reproducibility of more than 1,000 empirical answers to six research questions in finance provided by 168 international research teams. Surprisingly, neither researcher seniority, nor the quality of the research paper seem related to the level of reproducibility. Moreover, researchers exhibit strong overconfidence when assessing the reproducibility of their own research and underestimate the difficulty faced by their peers when attempting to reproduce their results. We further find that reproducibility is higher for researchers with better coding skills and for those exerting more effort. It is lower for more technical research questions and more complex code

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