Abstract For large multivariate models of generalized autoregressive conditional heteroskedasticity (GARCH), it is important to reduce the number parameters cope with ‘curse dimensionality’. Recently, Laurent, Rombouts and Violante (2014 “Multivariate Rotated ARCH Models” Journal Econometrics 179 : 16–30) developed rotated GARCH model, which focuses on for standardized variables. This paper ext...

This paper introduces the scalar DCC-HEAVY and DECO-HEAVY models for conditional variances correlations of daily returns based on measures realized built from intraday data. Formulas multi-step forecasts are provided. Asymmetric versions developed. An empirical study shows that in terms HEAVY outperform BEKK-HEAVY model covariances BEKK, DCC, DECO multivariate GARCH exclusively

This study investigates the intraday price and volatility spillover effect between the Japanese market and the Korean market, using a VAR-asymmetric BEKK GARCH model. In particular, the study considers three high-frequency (10-min, 30-min, and 1-hour) intraday datasets of TOPIX and KOSPI200 markets. The empirical results indicate a bi-directional price spillover effect in the 10-min intervals, ...

â â â  â â â â â  the main purpose of present study is to analyze the relationship between stock and exchange markets in two asian countries, iran and south korea. a monthly time series of stock price and exchange rate are used over the period 2002: 05 - 2012: 03. the data is collected from the central bank of each country and wdi. the calculated stock return and real exchange rate change are u...

This paper was aimed at investigating the volatility and conditional relationship among inflation rates, exchange rates and interest rates as well as to construct a model using multivariate GARCH DCC and BEKK models using Ghana data from January 1990 to December 2013. The study revealed that the cumulative depreciation of the cedi to the US dollar from 1990 to 2013 is 7,010.2% and the yearly we...

Tests of causality in variance in multiple time series have been proposed recently, based on residuals of estimated univariate models. Although such tests are applied frequently little is known about their power properties. In this paper we show that a convenient alternative to residual based testing is to specify a multivariate volatility model, such as multivariate GARCH (or BEKK), and constr...

Com a utilização de dados diários do retorno das ações, da cotação Dólar e índice Ibovespa, durante o período 2010 até 2020, este estudo apresenta os resultados dos transbordamentos volatilidades no mercado ações Brasil, com correlações condicionais. A construção retornos representativos pela Análise Componentes Principais, tradicional robusto se mostraram mais adequadas em relação à Principais...

A. Haungs(1)(∗∗), T. Antoni(), W. D. Apel(), F. Badea(), K. Bekk() K. Bernlöhr(1)(∗∗∗), H. Blümer()(), E. Bollmann(), H. Bozdog() I. M. Brancus(), C. Büttner(), A. Chilingarian(), K. Daumiller() P. Doll(), J. Engler(), F. Feßler(), H. J. Gils(), R. Glasstetter() R. Haeusler(), W. Hafemann()( ∗ ∗∗), D. Heck(), J. R. Hörandel() T. Holst(), K.-H. Kampert()(), J. Kempa(), H. O. Klages() J. Knapp(3)...

This paper derives the statistical properties of a two-step approach to estimating multivariate rotated GARCH-BEKK (RBEKK) models. From definition RBEKK, unconditional covariance matrix is estimated in first step rotate observed variables order have identity for its sample matrix. In second step, remaining parameters are by maximizing quasi-log-likelihood function. For this quasi-maximum likeli...