{"title":"International investor sentiment and stock returns: Evidence from China","authors":"Liu Zi-long, Wang Su-sheng, Hu Ming-zhu","doi":"10.1080/10293523.2021.1876968","DOIUrl":null,"url":null,"abstract":"ABSTRACT With the accelerated opening up of China’s financial sector, international investors have increasingly become a key investment group. To describe the international investor sentiment towards Chinese stock assets, we select sentiment proxies from the transaction data in the China A-share market, the Hong Kong stock market, and the US market and aggregate the information from four proxies by principal component analysis. We propose this newly synthesized index as the International Investor Sentiment Composite Index for the Chinese stock market. The results show that international investor sentiment has significant predictive power for the future returns of the Chinese stock market. We also find that international investor sentiment has asymmetric prediction characteristics, and negative international investor sentiment has a more significant impact on stock returns than positive investor sentiment. Furthermore, using the copula model, we show that there is an asymmetric tail correlation between the International Investor Sentiment Index and future market returns, and international investor sentiment also has an early warning label effect on the extreme market conditions. Therefore, this paper will extend the existing literature about the role of international investor sentiment on asset prices on a global scale.","PeriodicalId":44496,"journal":{"name":"Investment Analysts Journal","volume":"50 1","pages":"60 - 76"},"PeriodicalIF":1.2000,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10293523.2021.1876968","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Investment Analysts Journal","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/10293523.2021.1876968","RegionNum":4,"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: 5
Abstract
ABSTRACT With the accelerated opening up of China’s financial sector, international investors have increasingly become a key investment group. To describe the international investor sentiment towards Chinese stock assets, we select sentiment proxies from the transaction data in the China A-share market, the Hong Kong stock market, and the US market and aggregate the information from four proxies by principal component analysis. We propose this newly synthesized index as the International Investor Sentiment Composite Index for the Chinese stock market. The results show that international investor sentiment has significant predictive power for the future returns of the Chinese stock market. We also find that international investor sentiment has asymmetric prediction characteristics, and negative international investor sentiment has a more significant impact on stock returns than positive investor sentiment. Furthermore, using the copula model, we show that there is an asymmetric tail correlation between the International Investor Sentiment Index and future market returns, and international investor sentiment also has an early warning label effect on the extreme market conditions. Therefore, this paper will extend the existing literature about the role of international investor sentiment on asset prices on a global scale.
期刊介绍:
The Investment Analysts Journal is an international, peer-reviewed journal, publishing high-quality, original research three times a year. The journal publishes significant new research in finance and investments and seeks to establish a balance between theoretical and empirical studies. Papers written in any areas of finance, investment, accounting and economics will be considered for publication. All contributions are welcome but are subject to an objective selection procedure to ensure that published articles answer the criteria of scientific objectivity, importance and replicability. Readability and good writing style are important. No articles which have been published or are under review elsewhere will be considered. All submitted manuscripts are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is double blind and submission is via email. Accepted papers will then pass through originality checking software. The editors reserve the right to make the final decision with respect to publication.