The analysis of stochastic volatility in the presence of daily realised measures
Year of publication: |
2011
|
---|---|
Authors: | Koopman, Siem Jan ; Scharth, Marcel |
Publisher: |
Rotterdam |
Subject: | Kalman filter | Leverage | Realised volatility | Simulated maximum likelihood | Volatilität | Volatility | Zustandsraummodell | State space model | Stochastischer Prozess | Stochastic process | Maximum-Likelihood-Schätzung | Maximum likelihood estimation | Schätztheorie | Estimation theory | Zeitreihenanalyse | Time series analysis | Simulation |
-
Numerically accelerated importance sampling for nonlinear non-Gaussian state space models
Koopman, Siem Jan, (2012)
-
Jump variation estimation with noisy high frequency financial data via wavelets
Zhang, Xin, (2016)
-
It's all about volatility of volatility : evidence from a two-factor stochastic volatility model
Grassi, Stefano, (2014)
- More ...
-
Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State Space Models
Koopman, Siem Jan, (2011)
-
Predicting Time-Varying Parameters with Parameter-Driven and Observation-Driven Models
Koopman, Siem Jan, (2012)
-
The Analysis of Stochastic Volatility in the Presence of Daily Realised Measures
Koopman, Siem Jan, (2011)
- More ...