{"title":"打开投资者情绪的黑箱:结构化情绪和非结构化情绪","authors":"Lan Xiang, Yong Ma, Zhiyu Liu","doi":"10.1111/irfi.12440","DOIUrl":null,"url":null,"abstract":"<p>This paper dissects investor sentiment into two distinct components: structured sentiment and unstructured sentiment, based on their underlying driving factors. Employing an extension of the classic noise trader model, our analysis reveals a negative relationship between market returns and both types of sentiment—structured and unstructured. Additionally, we find a positive association between market volatility and fluctuations in these sentiment components. Furthermore, the impact of fluctuations in unstructured sentiment on market volatility becomes more pronounced as the proportion of noise traders increases. Importantly, our theoretical assertions are robustly supported by empirical data.</p>","PeriodicalId":46664,"journal":{"name":"International Review of Finance","volume":"24 2","pages":"334-343"},"PeriodicalIF":1.8000,"publicationDate":"2023-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unpacking the black box of investor sentiment: Structured sentiment and unstructured sentiment\",\"authors\":\"Lan Xiang, Yong Ma, Zhiyu Liu\",\"doi\":\"10.1111/irfi.12440\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper dissects investor sentiment into two distinct components: structured sentiment and unstructured sentiment, based on their underlying driving factors. Employing an extension of the classic noise trader model, our analysis reveals a negative relationship between market returns and both types of sentiment—structured and unstructured. Additionally, we find a positive association between market volatility and fluctuations in these sentiment components. Furthermore, the impact of fluctuations in unstructured sentiment on market volatility becomes more pronounced as the proportion of noise traders increases. Importantly, our theoretical assertions are robustly supported by empirical data.</p>\",\"PeriodicalId\":46664,\"journal\":{\"name\":\"International Review of Finance\",\"volume\":\"24 2\",\"pages\":\"334-343\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Review of Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/irfi.12440\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Finance","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/irfi.12440","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Unpacking the black box of investor sentiment: Structured sentiment and unstructured sentiment
This paper dissects investor sentiment into two distinct components: structured sentiment and unstructured sentiment, based on their underlying driving factors. Employing an extension of the classic noise trader model, our analysis reveals a negative relationship between market returns and both types of sentiment—structured and unstructured. Additionally, we find a positive association between market volatility and fluctuations in these sentiment components. Furthermore, the impact of fluctuations in unstructured sentiment on market volatility becomes more pronounced as the proportion of noise traders increases. Importantly, our theoretical assertions are robustly supported by empirical data.
期刊介绍:
The International Review of Finance (IRF) publishes high-quality research on all aspects of financial economics, including traditional areas such as asset pricing, corporate finance, market microstructure, financial intermediation and regulation, financial econometrics, financial engineering and risk management, as well as new areas such as markets and institutions of emerging market economies, especially those in the Asia-Pacific region. In addition, the Letters Section in IRF is a premium outlet of letter-length research in all fields of finance. The length of the articles in the Letters Section is limited to a maximum of eight journal pages.