Projects per year
Abstract
We conduct an extensive evaluation of price jump tests based on high-frequency financial data. After providing a concise review of multiple alternative tests, we document the size and power of all tests in a range of empirically relevant scenarios. Particular focus is given to the robustness of test performance to the presence of jumps in volatility and microstructure noise, and to the impact of sampling frequency. The paper concludes by providing guidelines for empirical researchers about which test to choose in any given setting.
Original language | English |
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Pages (from-to) | 478-487 |
Number of pages | 10 |
Journal | Journal of Econometrics |
Volume | 219 |
Issue number | 2 |
DOIs | |
Publication status | Published - Dec 2020 |
Keywords
- Bivariate jump diffusion model
- Microstructure noise
- Nonparametric jump measures
- Price jump tests
- Sampling frequency
- Volatility jumps
Projects
- 2 Finished
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The Validation of Approximate Bayesian Computation: Theory and Practice
Martin, G. (Primary Chief Investigator (PCI)), Frazier, D. (Chief Investigator (CI)), Renault, E. (Chief Investigator (CI)) & Robert, C. (Partner Investigator (PI))
Australian Research Council (ARC), Monash University, Brown University, Université Paris Dauphine (Paris Dauphine University)
1/02/17 → 31/12/21
Project: Research
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Approximate Bayesian computation in state space models
Martin, G., Forbes, C., McCabe, B. & Robert, C.
Australian Research Council (ARC), Monash University, University of Liverpool, Université Paris Dauphine (Paris Dauphine University)
2/04/15 → 1/07/19
Project: Research