Showing 1 - 10 of 14,006
In this paper, we extend the parametric, asymmetric, stochastic volatility model (ASV), where returns are correlated … with volatility, by flexibly modeling the bivariate distribution of the return and volatility innovations nonparametrically …. Its novelty is in modeling the joint, conditional, return-volatility distribution with an infinite mixture of bivariate …
Persistent link: https://www.econbiz.de/10010292350
When analysing the volatility related to high frequency financial data, mostly non-parametric approaches based on … stochastic volatility. Estimation of the model delivers measures of daily variation outperforming their non …
Persistent link: https://www.econbiz.de/10010326060
In this paper, I study the drop of real GDP volatility which has been observed in the United States during the postwar …
Persistent link: https://www.econbiz.de/10010316043
volatility models including long memory and leverage effects. We compute the price by applying a present value scheme as well as … the Black-Scholes and Hull-White formulas which includes stochastic volatility. We find that long memory as well as …
Persistent link: https://www.econbiz.de/10010296646
The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...
Persistent link: https://www.econbiz.de/10010324992
The Heston model stands out from the class of stochastic volatility (SV) models mainly for two reasons. Firstly, the … process for the volatility is nonnegative and mean-reverting, which is what we observe in the markets. Secondly, there exists …
Persistent link: https://www.econbiz.de/10010281507
In this paper, we review the most common specifications of discrete-time stochastic volatility (SV) models and …
Persistent link: https://www.econbiz.de/10010263750
capturing interest rate risk. The so-called Stochastic Volatility Nelson-Siegel (SVNS) model allows for stochastic volatility in … evidence for time-varying volatility in the yield factors. This is mostly true for the level and slope volatility revealing … also the highest persistence. It turns out that the inclusion of stochastic volatility improves the model's goodness …
Persistent link: https://www.econbiz.de/10010270702
As an asset is traded, its varying prices trace out an interesting time series. The price, at least in a general way, reflects some underlying value of the asset. For most basic assets, realistic models of value must involve many variables relating not only to the individual asset, but also to...
Persistent link: https://www.econbiz.de/10010270708
Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … models. While variants of the GARCH model are applied in scores of articles, use of the stochastic volatility model is less … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation. In order to simplify the …
Persistent link: https://www.econbiz.de/10010325989