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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
With the exception of Bitcoin, there appears to be little or no literature on GARCH modeling of cryptocurrencies. This paper provides the first GARCH modeling of the seven most popular cryptocurrencies. Twelve GARCH models are fitted to each cryptocurrency and their fits are assessed in terms of...
Persistent link: https://www.econbiz.de/10012946406
We develop an empirically highly accurate discrete-time daily stochastic volatility model that explicitly distinguishes … inter-dependencies among the shocks to returns and the two different volatility components. The model estimates suggest that … the leverage effect, or asymmetry between returns and volatility, works primarily through the continuous volatility …
Persistent link: https://www.econbiz.de/10014217079
We develop a discrete-time affine stochastic volatility model with time-varying conditional skewness (SVS). Importantly …, we disentangle the dynamics of conditional volatility and conditional skewness in a coherent way. Our approach allows … autoregressive conditional heteroskedasticity (GARCH), and stochastic volatility with jumps (SVJ) models. Our results are not due to …
Persistent link: https://www.econbiz.de/10014047692
Volatility has been one of the most active and successful areas of research in time series econometrics and economic … empirical insights to emerge from this burgeoning literature, with a distinct focus on forecasting applications. Volatility is … inherently latent, and Section 1 begins with a brief intuitive account of various key volatility concepts. Section 2 then …
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
Using high-frequency intraday data, we construct, test and model seven new realized volatility estimators for six … international equity indices. We detect jumps in these estimators, construct the jump components of volatility and perform various … effects of jumps on volatility. Our results expand and complement the previous literature on the nonparametric realized …
Persistent link: https://www.econbiz.de/10013029279
volatility (Heston model), enabling complete analytical resolution of all problems associated with American Style Options … volatility (Heston model) is expressive enough to enable derivation for the first time ever of corollary closed-form analytical … constant or stochastic volatility, will be below or above any set of thresholds at termination. Such assessments are absolutely …
Persistent link: https://www.econbiz.de/10013029750
://ssrn.com/abstract=2546430). • In this paper we report similar unique results for pricing options in the presence of stochastic volatility … Model. • Our discovery of the probability density function for options with stochastic volatility enables exact closed … the density function for options with stochastic volatility within the Heston model is expressive enough to enable …
Persistent link: https://www.econbiz.de/10013030477