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Rank tests at jump events
Li, Jia; Todorov, Viktor; Tauchen, George Eugene; Lin, Huidi - In: Journal of business & economic statistics : JBES ; a … 37 (2019) 2, pp. 312-321
Persistent link: https://www.econbiz.de/10012177350
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Large-dimensional factor modeling based on high-frequency observations
Pelger, Markus - In: Journal of econometrics 208 (2019) 1, pp. 23-42
Persistent link: https://www.econbiz.de/10012139775
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Jump factor models in large cross‐sections
Li, Jia; Todorov, Viktor; Tauchen, George Eugene - In: Quantitative economics : QE ; journal of the … 10 (2019) 2, pp. 419-456
We develop tests for deciding whether a large cross‐section of asset prices obey an exact factor structure at the times of factor jumps. Such jump dependence is implied by standard linear factor models. Our inference is based on a panel of asset returns with asymptotically increasing...
Persistent link: https://www.econbiz.de/10012042424
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Testing for non-correlation between price and volatility jumps
Jacod, Jean; Klüppelberg, Claudia; Müller, Gernot - In: Journal of econometrics 197 (2017) 2, pp. 284-297
Persistent link: https://www.econbiz.de/10011818360
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Fixed-k inference for volatility
Bollerslev, Tim; Li, Jia; Liao, Zhipeng - In: Quantitative economics : QE ; journal of the … 12 (2021) 4, pp. 1053-1084
We present a new theory for the conduct of nonparametric inference about the latent spot volatility of a semimartingale … in local estimation blocks, our theory treats the estimation block size k as fixed. While the resulting spot volatility …-to-calculate pointwise confidence intervals for the volatility at any given point in time. Extending the theory to a high …
Persistent link: https://www.econbiz.de/10012795628
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Data-driven jump detection thresholds for application in jump regressions
Davies, Robert; Tauchen, George Eugene - 2015
This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...
Persistent link: https://www.econbiz.de/10011524214
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Jump regressions
Li, Jia; Todorov, Viktor; Tauchen, George Eugene - In: Econometrica : journal of the Econometric Society, an … 85 (2017) 1, pp. 173-195
Persistent link: https://www.econbiz.de/10011738476
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Data-driven jump detection thresholds for application in jump regressions
Davies, Robert; Tauchen, George Eugene - In: Econometrics : open access journal 6 (2018) 2, pp. 1-25
This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...
Persistent link: https://www.econbiz.de/10011823308
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Exact Bayesian moment based inference for the distribution of the small-time movements of an Itô semimartingale
Gallant, A. Ronald; Tauchen, George Eugene - In: Journal of econometrics 205 (2018) 1, pp. 140-155
Persistent link: https://www.econbiz.de/10012110246
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Mixed-scale jump regressions with bootstrap inference
Li, Jia; Todorov, Viktor; Tauchen, George Eugene; Chen, Rui - In: Journal of econometrics 201 (2017) 2, pp. 417-432
Persistent link: https://www.econbiz.de/10011920538