Showing 1 - 10 of 22
periodicity in conditional heteroskedasticity. The periodic structures in GARCH models share many properties with periodic ARMA … processes studied by Gladyshev (1961), Tiao and Grupe (1980) and others. We describe the relation between periodic GARCH … processes and time-invariant (seasonal) GARCH processes. Besides the periodic GARCH or P-GARCH process, we also discuss P …
Persistent link: https://www.econbiz.de/10005101043
We provide results for the valuation of European style contingent claims for a large class of specifications of the underlying asset returns. Our valuation results obtain in a discrete time, infinite state-space setup using the no-arbitrage principle and an equivalent martingale measure. Our...
Persistent link: https://www.econbiz.de/10004976982
This paper analyzes a large class of processes for the short-term interest rate that are derived in a discrete-time equilibrium framework. The dynamics of interest rates and yields are driven by the dynamics of the conditional volatility of the state variable. Under appropriate parameter...
Persistent link: https://www.econbiz.de/10005100611
GARCH and sign-type tests against general dependencies and asymmetries. The procedures proposed provide exact versions of … following. Whereas univariate exact tests indicate significant serial correlation, asymmetries and GARCH in some equations, such … matrice de covariance des erreurs. Nous considérons des tests contre la dépendance sérielle, contre la présence d'effets GARCH …
Persistent link: https://www.econbiz.de/10005100677
The paper evaluates the performance of several recently proposed change-point tests applied to conditional variance dynamics and conditional distributions of asset returns. These are CUSUM-type tests for beta-mixing processes and EDF-based tests for the residuals of such nonlinear dependent...
Persistent link: https://www.econbiz.de/10005100727
We consider estimates of the parameters of GARCH models of daily financial returns, obtained using intra-day (high … not exist. In particular, we consider estimation in this way of an ARCH approximation, and obtain GARCH parameters by a … estimés des paramètres des modèles GARCH pour les rendements financiers journaliers, qui sont obtenus à l'aide des données …
Persistent link: https://www.econbiz.de/10005100771
the stochastic variance. Our class encompasses the usual GARCH models and various asymmetric GARCH models. Moreover, our … natural extension of the weak GARCH models. Our extension has four advantages: i) we do not assume that the fourth moment is … finite; ii) we allow for asymmetries (skewness, leverage effect) that are excluded by the weak GARCH models; iii) we derive …
Persistent link: https://www.econbiz.de/10005100823
This paper studies the ICAPM intertemporal relation between the conditional mean and the conditional variance of the aggregate stock market return. We introduce a new estimator that forecasts monthly variance with past daily squared returns - the Mixed Data Sampling (or MIDAS) approach. Using...
Persistent link: https://www.econbiz.de/10005100874
tests for multivariate GARCH and multivariate generalization of the well known variance ratio tests) and goodness of fit … des tests pour les effets GARCH multivariés et une généralisation multivariée des tests de ratio de variance), des tests …
Persistent link: https://www.econbiz.de/10005100885
Characterizing asset return dynamics using volatility models is an important part of empirical finance. The existing literature favors some rather complex volatility specifications whose relative performance is usually assessed through their likelihood based on a time-series of asset returns....
Persistent link: https://www.econbiz.de/10005100917