Showing 1 - 10 of 287
We establish a relation between stochastic volatility models and the class of generalized hyperbolic distributions …
Persistent link: https://www.econbiz.de/10009577459
The Normal Inverse Gaussian (NIG) distribution recently introduced by Barndorff-Nielsen (1997) is a promising alternative for modelling financial data exhibiting skewness and fat tails. In this paper we explore the Bayesian estimation of NIG-parameters by Markov Chain Monte Carlo Methods. --...
Persistent link: https://www.econbiz.de/10009612011
is the volatility coefficient which in turn obeys an autoregression type equation log v t = w + a S t- l + nt with an …
Persistent link: https://www.econbiz.de/10009582392
Persistent link: https://www.econbiz.de/10009620778
Persistent link: https://www.econbiz.de/10009611548
Qualitative and quantitative properties of the Cornish-Fisher-Expansion in the context of Delta-Gamma-Normal approaches to the computation of Value at Risk are presented. Some qualitative deficiencies of the Cornish-Fisher-Expansion - the monotonicity of the distribution function as well as...
Persistent link: https://www.econbiz.de/10009614287
Persistent link: https://www.econbiz.de/10001919530
which succeeds with high probability. -- Hedging ; superhedging ; Neyman Pearson lemma ; stochastic volatility ; value at …
Persistent link: https://www.econbiz.de/10009574876
Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric …
Persistent link: https://www.econbiz.de/10009578026
mean. For the volatility function, i.e., the conditional variance given the past, a multiplicative structure is more … appropriate than an additive one, as the volatility is a positive scale function and a multiplicative model provides a better … additive mean and the multiplicative volatility. The technique used is marginally integrated local polynomial estimation. The …
Persistent link: https://www.econbiz.de/10009578559