{"title":"Improving information leadership share for measuring price discovery","authors":"Shulin Shen , Yixuan Zhang , Eric Zivot","doi":"10.1016/j.jempfin.2025.101638","DOIUrl":null,"url":null,"abstract":"<div><div>We propose an improvement to the information leadership (IL) measure of price discovery of Yan and Zivot (2010), and the information leadership share (ILS) measure of Putniņš (2013). Our improved PIL and PILS measures integrate the price discovery share (PDS) of Shen et al. (2024) with the component share (CS) measure. Our improved PIL measure accurately reflects the ratio of initial responses of competing markets to a permanent shock in the presence of correlated reduced-form vector error correction model residuals, thereby substantially generalizing the IL measure for practical applications. Simulation evidence strongly supports the superiority of our improved PIL measure over a wide spectrum of existing price discovery metrics (Lien and Shrestha, 2009; Putniņš, 2013; Sultan and Zivot, 2015; Patel et al., 2020). We demonstrate the effectiveness of our improved measure by examining price discovery for various Chinese stocks cross-listed in Shanghai and Hong Kong (SH-HK) both before and after the initiation of the Shanghai-Hong Kong Stock Connect.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"83 ","pages":"Article 101638"},"PeriodicalIF":2.4000,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Empirical Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S092753982500060X","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
We propose an improvement to the information leadership (IL) measure of price discovery of Yan and Zivot (2010), and the information leadership share (ILS) measure of Putniņš (2013). Our improved PIL and PILS measures integrate the price discovery share (PDS) of Shen et al. (2024) with the component share (CS) measure. Our improved PIL measure accurately reflects the ratio of initial responses of competing markets to a permanent shock in the presence of correlated reduced-form vector error correction model residuals, thereby substantially generalizing the IL measure for practical applications. Simulation evidence strongly supports the superiority of our improved PIL measure over a wide spectrum of existing price discovery metrics (Lien and Shrestha, 2009; Putniņš, 2013; Sultan and Zivot, 2015; Patel et al., 2020). We demonstrate the effectiveness of our improved measure by examining price discovery for various Chinese stocks cross-listed in Shanghai and Hong Kong (SH-HK) both before and after the initiation of the Shanghai-Hong Kong Stock Connect.
期刊介绍:
The Journal of Empirical Finance is a financial economics journal whose aim is to publish high quality articles in empirical finance. Empirical finance is interpreted broadly to include any type of empirical work in financial economics, financial econometrics, and also theoretical work with clear empirical implications, even when there is no empirical analysis. The Journal welcomes articles in all fields of finance, such as asset pricing, corporate finance, financial econometrics, banking, international finance, microstructure, behavioural finance, etc. The Editorial Team is willing to take risks on innovative research, controversial papers, and unusual approaches. We are also particularly interested in work produced by young scholars. The composition of the editorial board reflects such goals.