Significance testing in empirical finance: A critical review and assessment

Citations

Cited by:

1. John Quiggin, 2019. "The Replication Crisis as Market Failure," Econometrics, MDPI, vol. 7(4), pages 1-8, November.
2. Amélie Charles & Olivier Darné & Jae H. Kim, 2022. "Stock return predictability: Evaluation based on interval forecasts," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 363-385, April.
   • Amélie Charles & Olivier Darné & Jae Kim, 2022. "Stock Return Predictability: Evaluation based on interval forecasts," Post-Print hal-03656310, HAL.
3. Kim, Jae H., 2017. "Stock returns and investors' mood: Good day sunshine or spurious correlation?," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 94-103.
   • Kim, Jae, 2016. "Stock Returns and Investors’ Mood: Good Day Sunshine or Spurious Correlation?," MPRA Paper 70692, University Library of Munich, Germany.
4. Kellner, Ralf & Rösch, Daniel, 2021. "A Bayesian Re-Interpretation of “significant” empirical financial research," Finance Research Letters, Elsevier, vol. 38(C).
5. Jan S. Krause & Gerrit Nanninga & Patrick Ring & Ulrich Schmidt & Daniel Schunk, 2020. "The Influence of Ambient Temperature on Social Perception and Social Behavior," Working Papers 2013, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
6. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
7. Stephan B. Bruns & David I. Stern, 2019. "Lag length selection and p-hacking in Granger causality testing: prevalence and performance of meta-regression models," Empirical Economics, Springer, vol. 56(3), pages 797-830, March.
8. Liu, Huajin & Zhang, Wei & Zhang, Xiaotao & Liu, Jia, 2021. "Temperature and trading behaviours," International Review of Financial Analysis, Elsevier, vol. 78(C).
9. Amir Karami & Morgan Lundy & Frank Webb & Gabrielle Turner-McGrievy & Brooke W. McKeever & Robert McKeever, 2021. "Identifying and Analyzing Health-Related Themes in Disinformation Shared by Conservative and Liberal Russian Trolls on Twitter," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
10. Michaelides, Michael, 2021. "Large sample size bias in empirical finance," Finance Research Letters, Elsevier, vol. 41(C).
11. Jae H. Kim & In Choi, 2021. "Choosing the Level of Significance: A Decision‐theoretic Approach," Abacus, Accounting Foundation, University of Sydney, vol. 57(1), pages 27-71, March.
12. Anghel, Dan Gabriel, 2021. "Data Snooping Bias in Tests of the Relative Performance of Multiple Forecasting Models," Journal of Banking & Finance, Elsevier, vol. 126(C).
13. Fjesme, Sturla Lyngnes, 2020. "Retail investor experience, asset learning, and portfolio risk-adjusted returns," Finance Research Letters, Elsevier, vol. 36(C).
14. Jae H. Kim, 2022. "Moving to a world beyond p-value," Review of Managerial Science, Springer, vol. 16(8), pages 2467-2493, November.
15. Jeremy Arkes, 2020. "Teaching Graduate (and Undergraduate) Econometrics: Some Sensible Shifts to Improve Efficiency, Effectiveness, and Usefulness," Econometrics, MDPI, vol. 8(3), pages 1-23, September.
16. Zack Jourdan & J. Ken. Corley & Randall Valentine & Arthur M. Tran, 2023. "Fintech: A content analysis of the finance and information systems literature," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
17. Jae H. Kim & Kamran Ahmed & Philip Inyeob Ji, 2018. "Significance Testing in Accounting Research: A Critical Evaluation Based on Evidence," Abacus, Accounting Foundation, University of Sydney, vol. 54(4), pages 524-546, December.
18. Grace Lepone & Joakim Westerholm & Danika Wright, 2023. "Speculative trading preferences of retail investor birth cohorts," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 555-574, March.
19. Yergeau, Gabriel, 2016. "Profitability and Market Quality of High Frequency Market-makers: An Empirical Investigation," Working Papers 16-3, HEC Montreal, Canada Research Chair in Risk Management.
20. Jae H. Kim & Andrew P. Robinson, 2019. "Interval-Based Hypothesis Testing and Its Applications to Economics and Finance," Econometrics, MDPI, vol. 7(2), pages 1-22, May.
21. David Trafimow, 2019. "A Frequentist Alternative to Significance Testing, p -Values, and Confidence Intervals," Econometrics, MDPI, vol. 7(2), pages 1-14, June.
22. Jae H. Kim & In Choi, 2017. "Unit Roots in Economic and Financial Time Series: A Re-Evaluation at the Decision-Based Significance Levels," Econometrics, MDPI, vol. 5(3), pages 1-23, September.
23. Kim, Jae, 2015. "How to Choose the Level of Significance: A Pedagogical Note," MPRA Paper 66373, University Library of Munich, Germany.
24. Kim, Jae & Choi, In, 2015. "Unit Roots in Economic and Financial Time Series: A Re-Evaluation based on Enlightened Judgement," MPRA Paper 68411, University Library of Munich, Germany.
25. Richard Startz, 2019. "Not p -Values, Said a Little Bit Differently," Econometrics, MDPI, vol. 7(1), pages 1-5, March.
26. Geyer-Klingeberg, Jerome & Hang, Markus & Rathgeber, Andreas, 2020. "Meta-analysis in finance research: Opportunities, challenges, and contemporary applications," International Review of Financial Analysis, Elsevier, vol. 71(C).
27. Johnstone, David, 2022. "Accounting research and the significance test crisis," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 89(C).
28. Todd Mitton, 2022. "Methodological Variation in Empirical Corporate Finance," The Review of Financial Studies, Society for Financial Studies, vol. 35(2), pages 527-575.
29. Fieberg, Christian & Günther, Steffen & Poddig, Thorsten & Zaremba, Adam, 2024. "Non-standard errors in the cryptocurrency world," International Review of Financial Analysis, Elsevier, vol. 92(C).
30. Jerome Geyer-Klingeberg & Markus Hang & Andreas Rathgeber, 2021. "Corporate financial hedging and firm value: a meta-analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 27(6), pages 461-485, April.