Testing for self-excitation in jumps

A-Tier
Journal: Journal of Econometrics
Year: 2018
Volume: 203
Issue: 2
Pages: 256-266

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper extends the notion of self-excitation in jumps to a rich class of continuous time semimartingale models, proposes statistical tests to detect its presence in a discretely observed sample path at high frequency, and derives the tests’ asymptotic properties. Our statistical setting is semiparametric: except for necessary parametric assumptions on the jump size measure, the other components of the semimartingale model are left essentially unrestricted. We analyze the finite sample performance of our tests in Monte Carlo simulations.

Technical Details

RePEc Handle
repec:eee:econom:v:203:y:2018:i:2:p:256-266
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-24