{"title":"Happiness and IPO performance","authors":"Konpanas Dumrongwong , Suwongrat Papangkorn","doi":"10.1016/j.jbef.2025.101044","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the relationship between investor sentiment and stock market performance using a novel approach: the X-based happiness index. Analyzing U.S. firms from 2008 to 2023, we employ both ordinary least squares (OLS) and quantile regression techniques to examine potential nonlinear relationships. While OLS results show a positive association between happiness and returns, our quantile regression analysis reveals a more nuanced relationship: the positive correlation is present across all quantiles but achieves statistical significance exclusively in the upper quantile. This asymmetric effect suggests that happiness exerts its strongest influence during periods of high returns, with tests confirming that the effect in the highest quantile significantly differs from other market conditions. Our findings contribute to behavioral finance literature by demonstrating how social media-derived sentiment measures can capture market dynamics missed by traditional indicators, suggesting investors should pay particular attention to happiness indicators during strong market performance.</div></div>","PeriodicalId":47026,"journal":{"name":"Journal of Behavioral and Experimental Finance","volume":"46 ","pages":"Article 101044"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral and Experimental Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214635025000255","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the relationship between investor sentiment and stock market performance using a novel approach: the X-based happiness index. Analyzing U.S. firms from 2008 to 2023, we employ both ordinary least squares (OLS) and quantile regression techniques to examine potential nonlinear relationships. While OLS results show a positive association between happiness and returns, our quantile regression analysis reveals a more nuanced relationship: the positive correlation is present across all quantiles but achieves statistical significance exclusively in the upper quantile. This asymmetric effect suggests that happiness exerts its strongest influence during periods of high returns, with tests confirming that the effect in the highest quantile significantly differs from other market conditions. Our findings contribute to behavioral finance literature by demonstrating how social media-derived sentiment measures can capture market dynamics missed by traditional indicators, suggesting investors should pay particular attention to happiness indicators during strong market performance.
期刊介绍:
Behavioral and Experimental Finance represent lenses and approaches through which we can view financial decision-making. The aim of the journal is to publish high quality research in all fields of finance, where such research is carried out with a behavioral perspective and / or is carried out via experimental methods. It is open to but not limited to papers which cover investigations of biases, the role of various neurological markers in financial decision making, national and organizational culture as it impacts financial decision making, sentiment and asset pricing, the design and implementation of experiments to investigate financial decision making and trading, methodological experiments, and natural experiments.
Journal of Behavioral and Experimental Finance welcomes full-length and short letter papers in the area of behavioral finance and experimental finance. The focus is on rapid dissemination of high-impact research in these areas.