{"title":"Connectedness of Agricultural Commodities Futures Returns: Do News Media Sentiments Matter?","authors":"Oguzhan Cepni, Linh Pham, Ugur Soytas","doi":"10.1080/15427560.2023.2256910","DOIUrl":null,"url":null,"abstract":"AbstractUsing the novel daily commodity-specific Thomson Reuters Market Psych sentiment data derived from news, social media, press releases, and regulatory filings, this study investigates the asymmetric impact of news and social media sentiment on the futures return connectedness of agricultural commodities. We construct time-varying connectedness measures for agricultural commodities futures returns at different quantiles and show how these spillover measures depend on news sentiment under extreme events. Our results show that the impact of news media sentiment on agricultural commodity connectedness depends on the quantiles (lower, median, upper) and the type of sentiment (traditional news or social media). In particular, we find that social media sentiment has a statistically significant impact on the magnitude of shocks each commodity transmits to others, at both the lower and upper quantiles, indicating that the media sentiment effect is more substantial during extreme market periods.Keywords: Commodity marketNews sentimentQuantile connectednessSpillovers Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 Maghyereh and Abdoh (Citation2019) do this for nonagricultural commodities.","PeriodicalId":47016,"journal":{"name":"Journal of Behavioral Finance","volume":"120 1","pages":"0"},"PeriodicalIF":1.7000,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15427560.2023.2256910","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractUsing the novel daily commodity-specific Thomson Reuters Market Psych sentiment data derived from news, social media, press releases, and regulatory filings, this study investigates the asymmetric impact of news and social media sentiment on the futures return connectedness of agricultural commodities. We construct time-varying connectedness measures for agricultural commodities futures returns at different quantiles and show how these spillover measures depend on news sentiment under extreme events. Our results show that the impact of news media sentiment on agricultural commodity connectedness depends on the quantiles (lower, median, upper) and the type of sentiment (traditional news or social media). In particular, we find that social media sentiment has a statistically significant impact on the magnitude of shocks each commodity transmits to others, at both the lower and upper quantiles, indicating that the media sentiment effect is more substantial during extreme market periods.Keywords: Commodity marketNews sentimentQuantile connectednessSpillovers Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 Maghyereh and Abdoh (Citation2019) do this for nonagricultural commodities.
期刊介绍:
In Journal of Behavioral Finance , leaders in many fields are brought together to address the implications of current work on individual and group emotion, cognition, and action for the behavior of investment markets. They include specialists in personality, social, and clinical psychology; psychiatry; organizational behavior; accounting; marketing; sociology; anthropology; behavioral economics; finance; and the multidisciplinary study of judgment and decision making. The journal will foster debate among groups who have keen insights into the behavioral patterns of markets but have not historically published in the more traditional financial and economic journals. Further, it will stimulate new interdisciplinary research and theory that will build a body of knowledge about the psychological influences on investment market fluctuations. The most obvious benefit will be a new understanding of investment markets that can greatly improve investment decision making. Another benefit will be the opportunity for behavioral scientists to expand the scope of their studies via the use of the enormous databases that document behavior in investment markets.