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 originale | Inglese |
|---|---|
| pagine (da-a) | 605-621 |
| Numero di pagine | 17 |
| Rivista | Journal of Business and Economic Statistics |
| Numero di pubblicazione | 39 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 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