Showing 1 - 10 of 264
This paper explores the contagious propagation of jumps among international stock market indices by exploiting a rich …, time and space amplification of jumps in option markets. We develop a semi-parametric estimation procedure employing a …
Persistent link: https://www.econbiz.de/10012797244
The papers in this special issue of Mathematics and Computers in Simulation are substantially revised versions of the papers that were presented at the 2011 Madrid International Conference on “Risk Modelling and Management” (RMM2011). The papers cover the following topics: currency hedging...
Persistent link: https://www.econbiz.de/10010326135
The purpose of this paper is to examine the asymmetric relationship betweenprice and implied volatility and the associated extreme quantile dependence usinglinear and non linear quantile regression approach. Our goal in this paper is todemonstrate that the relationship between the volatility and...
Persistent link: https://www.econbiz.de/10010326227
In this paper we document that realized variation measures constructed from highfrequency returns reveal a large degree of volatility risk in stock and index returns, where we characterize volatility risk by the extent to which forecasting errors in realized volatility are substantive. Even...
Persistent link: https://www.econbiz.de/10010326350
We propose a semiparametric estimator to determine the effects of explanatory variables on the conditional interquantile expectation (IQE) of the random variable of interest, without specifying the conditional distribution of the underlying random variables. IQE is the expected value of the...
Persistent link: https://www.econbiz.de/10011662532
We propose a new semiparametric observation-driven volatility model where the form of the error density directly influences the volatility dynamics. This feature distinguishes our model from standard semiparametric GARCH models. The link between the estimated error density and the volatility...
Persistent link: https://www.econbiz.de/10010326169
Locally explosive behavior is observed in many economic and financial time series when bubbles are formed. We introduce a time-varying parameter model that is capable of describing this behavior in time series data. Our proposed model can be used to predict the emergence, existence and burst of...
Persistent link: https://www.econbiz.de/10011932359
In recent years fractionally differenced processes have received a great deal of attention due to their flexibility in financial applications with long memory. In this paper, we develop a new realized stochastic volatility (RSV) model with general Gegenbauer long memory (GGLM), which encompasses...
Persistent link: https://www.econbiz.de/10011819498
, empirical evidence on the importance of aggregation, asymmetry, and jumps for volatility prediction, non-linear dynamic model of …
Persistent link: https://www.econbiz.de/10010491382
-memory stochastic volatility models, testing for independence between functional time series, statistical inference for panel dynamic … simultaneous equations models, specification tests of calibrated option pricing models, asymptotic inference in multiple … duration approach, refinements in maximum likelihood inference on spatial autocorrelation in panel data, statistical inference …
Persistent link: https://www.econbiz.de/10010491413