Testing for Jump Spillovers Without Testing for Jumps

Author(s)

Corradi, Valentina ^[1] ; Distaso, Walter ^[2] ; Fernandes, Marcelo ^[3]

Affiliation

^[1] Univ Surrey, Dept Econ, Guildford, Surrey - England

^[2] Imperial Coll, Dept Finance, Business Sch, London - England

^[3] FGV, Sao Paulo Sch Econ, BR-01322000 Sao Paulo, SP - Brazil

• Document type: Journal article
• Source: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION; v. 115, n. 531 JUN 2019.
• Web of Science Citations: 0

Abstract

This article develops statistical tools for testing conditional independence among the jump components of the daily quadratic variation, which we estimate using intraday data. To avoid sequential bias distortion, we do not pretest for the presence of jumps. If the null is true, our test statistic based on daily integrated jumps weakly converges to a Gaussian random variable if both assets have jumps. If instead at least one asset has no jumps, then the statistic approaches zero in probability. We show how to compute asymptotically valid bootstrap-based critical values that result in a consistent test with asymptotic size equal to or smaller than the nominal size. Empirically, we study jump linkages between US futures and equity index markets. We find not only strong evidence of jump cross-excitation between the SPDR exchange-traded fund and E-mini futures on the S\&P 500 index, but also that integrated jumps in the E-mini futures during the overnight period carry relevant information. for this article are available as an online supplement. (AU)

• FAPESP's process: 13/22930-0 - Price discovery in high-dimensional arbitrage portfolios
• Grantee: Pedro Luiz Valls Pereira
• Support Opportunities: Research Projects - Thematic Grants