A new leadership share measure for price discovery

Donald Lien, Brian Roseman, Yanlin Shi

Research output: Contribution to journalArticlepeer-review

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Abstract

We propose a new measure of price discovery, New Leadership Share (NLS), that attributes permanent information flow to individual markets using a uniquely identified structural moving average model. NLS quantifies each market’s contribution to permanent price innovations as a proportion of total informational leadership and offers key technical advantages, including uniqueness and adherence to standard statistical asymptotics. We derive closed-form solutions and analytical standard errors for bivariate markets and provide a framework that extends naturally to multiple markets without the variable ordering problem. Simulation results show that NLS consistently outperforms three widely used benchmarks. Empirical analysis of 2023 data finds that exchange-traded funds and front-month futures markets share equal leadership relative to the S&P 500 spot index.
Original languageEnglish
Article number107527
Pages (from-to)1-16
Number of pages16
JournalJournal of Banking and Finance
Volume180
DOIs
Publication statusPublished - Nov 2025

Bibliographical note

© 2025 The Authors. Published by Elsevier B.V. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Price discovery
  • Information share
  • Arbitrage
  • Structural models
  • Leadership share

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