An Empirical Analysis of Nikkei 225 Options Using Realized GARCH Models
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DOI: 10.15057/28531
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- Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2009.
"Estimating stochastic volatility models using daily returns and realized volatility simultaneously,"
Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2404-2426, April.
- Makoto Takahashi & Yasuhiro Omori & Toshiaki Watanabe, 2007. "Estimating Stochastic Volatility Models Using Daily Returns and Realized Volatility Simultaneously," CIRJE F-Series CIRJE-F-515, CIRJE, Faculty of Economics, University of Tokyo.
- Siem Jan Koopman & Marcel Scharth, 2012.
"The Analysis of Stochastic Volatility in the Presence of Daily Realized Measures,"
Journal of Financial Econometrics, Oxford University Press, vol. 11(1), pages 76-115, December.
- Siem Jan Koopman & Marcel Scharth, 2011. "The Analysis of Stochastic Volatility in the Presence of Daily Realised Measures," Tinbergen Institute Discussion Papers 11-132/4, Tinbergen Institute.
- Lars Stentoft, 2008. "Option Pricing using Realized Volatility," CREATES Research Papers 2008-13, Department of Economics and Business Economics, Aarhus University.
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More about this item
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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