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several advantages compared to the linear correlation measure in modeling comovement. This paper introduces a copula ARMA-GARCH … model for analyzing the comovement of indexes in German equity markets. The model is implemented with an ARMA-GARCH model … skewed Student's t copula ARMA(1,1)-GARCH(1,1) model with Lévy fractional stable noise is superior to alternative models …
Persistent link: https://www.econbiz.de/10005046500
The paper investigates the interdependence and conditional correlations between futures contracts and their underlying assets, both for stock and bond markets, and the impact of the interdependence and conditional correlations on VaR forecasts. The paper finds evidence of volatility spillovers...
Persistent link: https://www.econbiz.de/10010731676
-Exponential Conditional Correlation (MECC) model. The paper applies the WDCC approach to the exponential GARCH (EGARCH) and GJR models to …
Persistent link: https://www.econbiz.de/10010732622
We demonstrate the economic relevance of minimum spanning trees (MSTs) constructed from dynamic conditional correlations (DCC) for a sample of S&P 100 constituents. An empirical comparison of MST properties shows that using the standard approach of rolling (or sliding-window) correlations yields...
Persistent link: https://www.econbiz.de/10011062784
intermediate regimes is considered and modeled with the introduction of a smooth-transition mechanism in a GARCH specification. One … power. A smooth-transition GARCH specification is tested and estimated with stock returns and exchange-rate data. While a …
Persistent link: https://www.econbiz.de/10014620812
This paper describes a GAUSS program of a Markov-chain sampling algorithm for GARCH models proposed by Nakatsuma (1998 …). This algorithm allows us to generate Monte Carlo samples of parameters in a GARCH model from their joint posterior … distribution. The samples obtained by this algorithm are used for Bayesian analysis of the GARCH model. As numerical examples …
Persistent link: https://www.econbiz.de/10014620814
unit root tests are examined in the presence of generalised autoregressive conditional heteroskedasticity (GARCH). It is …–Fuller unit root test when applied to series exhibiting GARCH. Importantly, it is found that the use of consistent … the GARCH model. The relevance of the simulation analysis conducted is supported by GARCH modelling of the term structure …
Persistent link: https://www.econbiz.de/10010873045
proxy is incorporated into the conditional variance equation of the GARCH model. Some tentative explanations are also given … to expound the non-disappeared GARCH effects. …
Persistent link: https://www.econbiz.de/10010873943
interest of the researchers. In this contribution we consider the well known GARCH(1,1) process and its nonlinear modifications … GARCH processes in consideration. We find the obtained equations to be similar to a general class of stochastic differential … equations known to reproduce power law statistics. We show that linear GARCH(1,1) process has power law distribution, but its …
Persistent link: https://www.econbiz.de/10011209648
This study aims to enhance the understanding of logarithmic asset returns. In particular, more emphasis is given to the long memory property of financial returns, a well documented stylized fact. However, in the presence of structural breaks other studies suggest that statistical tools such as...
Persistent link: https://www.econbiz.de/10011209656