High-Frequency Lead-Lag Effects and Cross-Asset Linkages: A Multi-Asset Lagged Adjustment Model

  • G. Buccheri*
  • , F. Corsi
  • , Stefano Peluso
  • *Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in rivistaArticolo

Abstract

Motivated by the empirical evidence of high-frequency lead-lag effects and cross-asset linkages, we introduce a multi-asset price formation model which generalizes standard univariate microstructure models of lagged price adjustment. Econometric inference on such model provides: (i) a unified statistical test for the presence of lead-lag correlations in the latent price process and for the existence of a multi-asset price formation mechanism; (ii) separate estimation of contemporaneous and lagged dependencies; (iii) an unbiased estimator of the integrated covariance of the efficient martingale price process that is robust to microstructure noise, asynchronous trading, and lead-lag dependencies. Through an extensive simulation study, we compare the proposed estimator to alternative approaches and show its advantages in recovering the true lead-lag structure of the latent price process. Our application to a set of NYSE stocks provides empirical evidence for the existence of a multi-asset price formation mechanism and sheds light on its market microstructure determinants. Supplementary materials for this article are available online.
Lingua originaleInglese
pagine (da-a)605-621
Numero di pagine17
RivistaJournal of Business and Economic Statistics
Numero di pubblicazione39
DOI
Stato di pubblicazionePubblicato - 2019

All Science Journal Classification (ASJC) codes

  • Statistica e Probabilità
  • Scienze Sociali (varie)
  • Economia ed Econometria
  • Statistica, Probabilità e Incertezza

Keywords

  • Asynchronous trading
  • Cross-asset trading
  • Granger causality
  • Microstructure noise
  • Price discovery

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