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procedures for univariate volatility modeling and forecasting based on the GARCH, stochastic volatility and realized volatility … empirical insights to emerge from this burgeoning literature, with a distinct focus on forecasting applications. Volatility is …Volatility has been one of the most active and successful areas of research in time series econometrics and economic …
Persistent link: https://www.econbiz.de/10014023691
Current practice largely follows restrictive approaches to market risk measurement, such as historical simulation or RiskMetrics. In contrast, we propose flexible methods that exploit recent developments in financial econometrics and are likely to produce more accurate risk assessments, treating...
Persistent link: https://www.econbiz.de/10014025361
Current practice largely follows restrictive approaches to market risk measurement, such as historical simulation or RiskMetrics. In contrast, we propose flexible methods that exploit recent developments in financial econometrics and are likely to produce more accurate risk assessments, treating...
Persistent link: https://www.econbiz.de/10009350247
diffusive volatility and squared jump variation. We use this result to develop a new option valuation model in which the … underlying asset price exhibits volatility and jump intensity dynamics. The volatility and jump intensity dynamics in the model … are directly driven by model-free empirical measures of diffusive volatility and jump variation. Because the empirical …
Persistent link: https://www.econbiz.de/10011377837
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