Showing 1 - 10 of 19
We consider the modelling of rare events in financial time series,and introduce a marked point process model for the excesses of thetime series over a high threshold that combines a self-exciting processfor the exceedances with a mark (size) dependent process. This allowsrealistic models for...
Persistent link: https://www.econbiz.de/10005858382
constant volatility. In this paper, we examine the best performing parametric models against nonparametric alternatives. In … particular, we study the stochastic volatility (SV) and stochastic volatility randomjump (SVJ) models as parametric benchmarks …
Persistent link: https://www.econbiz.de/10005857988
order belief", on asset price volatility. The paper shows that heterogeneous expectations induce higher order beliefs and … that heterogeneous expectation asset pricing models thoretically generate more volatility than rational expectation models … results shows that a model with higher order beliefs generates a level of volatility in line with the price volatility …
Persistent link: https://www.econbiz.de/10005857785
pricing model. Implied volatility smiles appear to be explained by the negative asymmetry of the filtered historical … hedging in the presence of large volatility shocks. …
Persistent link: https://www.econbiz.de/10005858303
This paper extends the class of deterministic volatility Heath-Jarrow-Morton (1992) models to a Markov chain stochastic … volatility framework allowing for jump discontinuities and a variety of deformations of the term structure of forward rate … volatilities. Analytical solutions for the dynamics of the volatility term structure are obtained. Semimartingale decompositions of …
Persistent link: https://www.econbiz.de/10005858311
from a given set defined by the parametric volatility specification and the structure of a continuous time Markov chain that … modulates the volatility function. The first stochastic volatility specification generates jump discontinuities in volatility and … shape-preserving evolution of the volatility term structure in thefuture. The second specification allows, in addition, for …
Persistent link: https://www.econbiz.de/10005858312
We propose a simple class of semiparametric multivariate GARCH models, allowing for asymmetric volatilities and time-varying conditional correlations. Estimates for time-varying conditional correlations are constructed by means of a convex combination of estimates for averaged correlations...
Persistent link: https://www.econbiz.de/10005858366
) estimation of the conditional mean vector and the conditional volatility matrix of a multivariate interest rate series. The … principal components, a multivariate CCC-GARCH model, or the exponential smoothing volatility forecasting technique used by the …
Persistent link: https://www.econbiz.de/10005858367
We show that the volatility of a price process, which is usuallyregarded as an impediment to financial growth, can serve …
Persistent link: https://www.econbiz.de/10005858396
and Stein stochastic volatility model driven by two correlated Brownian motion. It turns out that in case the mean …
Persistent link: https://www.econbiz.de/10005858499