Estimating stochastic volatility models using realized measures
Year of publication: |
2016
|
---|---|
Authors: | Bekierman, Jeremias ; Gribisch, Bastian |
Published in: |
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet. - Berlin : De Gruyter, ISSN 1558-3708, ZDB-ID 1385261-9. - Vol. 20.2016, 3, p. 279-300
|
Subject: | efficient importance sampling | leverage effect | parameter-driven models | realized volatility | stochastic volatility model | Volatilität | Volatility | Stochastischer Prozess | Stochastic process | Theorie | Theory | Schätzung | Estimation | Stichprobenerhebung | Sampling | Maximum-Likelihood-Schätzung | Maximum likelihood estimation |
-
A triple-threshold leverage stochastic volatility model
Wu, Xin-Yu, (2015)
-
Numerically accelerated importance sampling for nonlinear non-Gaussian state-space models
Koopman, Siem Jan, (2015)
-
Testing for non-correlation between price and volatility jumps
Jacod, Jean, (2017)
- More ...
-
A Mixed Frequency Stochastic Volatility Model for Intraday Stock Market Returns
Bekierman, Jeremias, (2019)
-
A mixed frequency stochastic volatility model for intraday stock market returns
Bekierman, Jeremias, (2021)
-
Gribisch, Bastian, (2013)
- More ...