{"title":"The price leadership share: a new measure of price discovery in financial markets","authors":"Riccardo De Blasis","doi":"10.1007/s10436-020-00371-3","DOIUrl":null,"url":null,"abstract":"<div><p>We propose a new measure to establish price leadership among multiple related price series using a multivariate Markov chain model. This new measure, the price leadership share (PLS), can easily be calculated when price series are related but not fully cointegrated (e.g. there is a fractional cointegration and the unit root test fails) and with more than two price series simultaneously, offering advantages over the existing price discovery measures. In addition, we propose a price leadership concentration index to help the comparative analysis. The measure is tested on six gold contracts, including spot, futures, and ETF, with a global coverage over a 2-year period. Results show that gold futures contracts, mainly the US contract (CME futures), have a major role in the price discovery function confirming the previous literature’s findings. Overall, the PLS measure overcomes the limits of other existing price discovery measures.</p></div>","PeriodicalId":45289,"journal":{"name":"Annals of Finance","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10436-020-00371-3","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Finance","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s10436-020-00371-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 12
Abstract
We propose a new measure to establish price leadership among multiple related price series using a multivariate Markov chain model. This new measure, the price leadership share (PLS), can easily be calculated when price series are related but not fully cointegrated (e.g. there is a fractional cointegration and the unit root test fails) and with more than two price series simultaneously, offering advantages over the existing price discovery measures. In addition, we propose a price leadership concentration index to help the comparative analysis. The measure is tested on six gold contracts, including spot, futures, and ETF, with a global coverage over a 2-year period. Results show that gold futures contracts, mainly the US contract (CME futures), have a major role in the price discovery function confirming the previous literature’s findings. Overall, the PLS measure overcomes the limits of other existing price discovery measures.
期刊介绍:
Annals of Finance provides an outlet for original research in all areas of finance and its applications to other disciplines having a clear and substantive link to the general theme of finance. In particular, innovative research papers of moderate length of the highest quality in all scientific areas that are motivated by the analysis of financial problems will be considered. Annals of Finance''s scope encompasses - but is not limited to - the following areas: accounting and finance, asset pricing, banking and finance, capital markets and finance, computational finance, corporate finance, derivatives, dynamical and chaotic systems in finance, economics and finance, empirical finance, experimental finance, finance and the theory of the firm, financial econometrics, financial institutions, mathematical finance, money and finance, portfolio analysis, regulation, stochastic analysis and finance, stock market analysis, systemic risk and financial stability. Annals of Finance also publishes special issues on any topic in finance and its applications of current interest. A small section, entitled finance notes, will be devoted solely to publishing short articles – up to ten pages in length, of substantial interest in finance. Officially cited as: Ann Finance