Jump regressions
| Year of publication: |
January 2017
|
|---|---|
| Authors: | Li, Jia ; Todorov, Viktor ; Tauchen, George Eugene |
| Published in: |
Econometrica : journal of the Econometric Society, an international society for the advancement of economic theory in its relation to statistics and mathematics. - [Wechselnde Erscheinungsorte] : [Wechselnde Verlage], ISSN 0012-9682, ZDB-ID 1798-X. - Vol. 85.2017, 1, p. 173-195
|
| Subject: | Efficient estimation | high-frequency data | jumps | LAMN | regression | semimartingale | specification test | stochastic volatility | Regressionsanalyse | Regression analysis | Stochastischer Prozess | Stochastic process | Volatilität | Volatility | Schätztheorie | Estimation theory | Schätzung | Estimation | Martingal | Martingale | Nichtparametrisches Verfahren | Nonparametric statistics | Zeitreihenanalyse | Time series analysis | Börsenkurs | Share price | Monte-Carlo-Simulation | Monte Carlo simulation |
-
Data-driven jump detection thresholds for application in jump regressions
Davies, Robert, (2015)
-
Data-driven jump detection thresholds for application in jump regressions
Davies, Robert, (2018)
-
Mixed-scale jump regressions with bootstrap inference
Li, Jia, (2017)
- More ...
-
Jump factor models in large cross‐sections
Li, Jia, (2019)
-
Mixed-scale jump regressions with bootstrap inference
Li, Jia, (2017)
-
Adaptive estimation of continuous-time regression models using high-frequency data
Li, Jia, (2017)
- More ...