Estimation of Integrated Volatility in Continuous‐Time Financial Models with Applications to Goodness‐of‐Fit Testing
By Holger Dette, Mark Podolskij, Mathias Vetter. 2006
47 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/ec5657a86dbfd2ee664f16d0425e29a758463fd8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Finance
- Almut E. D. Veraart
- Wenceslao González-Manteiga
- Rosa M. Crujeiras
- Mathias Vetter
- Mark Podolskij
- Xinbing Kong
- Zhi Liu
- Bing-Yi Jing
Citations in the corpus
- INFERENCE FOR THE JUMP PART OF QUADRATIC VARIATION OF ITÔ SEMIMARTINGALES (2009, methodology): “These results follow directly from From Theorem 4.1 and the bivariate delta method for stable convergence (see Dette et al. (2006) ).”
- An updated review of Goodness-of-Fit tests for regression models (2013, background): “Dette et al. (2006) and Dette and Podolskij (2008) assessed the parametric form based on estimations and stochastic processes of the integrated volatility.”
- Is the diurnal pattern sufficient to explain intraday variation in volatility? A nonparametric assessment (2017, unknown): “There are several existing tests of constant volatility available in the high-frequency volatility area (see, e.g., Dette, Podolskij, and Vetter, 2006; Dette and Podolskij, 2008; Vetter and Dette, 2012).”
- Estimation of integrated volatility of volatility with applications to goodness-of-fit testing (2011, background): “See [14] for the asymptotic theory of the analogue of M2 in the local volatility setting.”
- Understanding limit theorems for semimartingales: a short survey (2009, unknown): “[1], [5], [8]).”