Estimation of multivariate GARCH models is usually carried out by quasi maximum likelihood (QMLE), for which recently consistency and asymptotic normality have been proven under quite general conditions. However, there are to date no results on the efficiency loss of QMLE if the true innovation distribution is not multinormal. We investigate this issue by suggesting a nonparametric estimation o...

Supply chain companies are one of the most important elements of the economy of each country. These companies play an important role in the expansion and activities of other companies through the provision of capital, customers, credit and even raw materials and technology. Therefore, the main goal of this research was to examine the impact of contagion of return and volatility in the return of...

As international financial markets have become increasingly interdependent, new evidence on international spillover effects has widely been discussed around the globe. However, the MENA region has received little attention concerning international transmission of stock market movements. In this paper, we discuss international spillover effects between the major developed markets (U.S., Japan an...

Biopharmaceutical companies are critical in developing vaccines, treatments, and diagnostics for COVID-19. Thus, understanding the contagion effects of their stock market can have important economic implications, especially context global financial markets. Due to COVID-19 pandemic, biopharmaceutical companies’ markets may experienced sudden volatility risk changes, which had spillover on other...

the price volatility spillover effect indicates that price volatility in different markets can be mutually affected. the objective of the study is to analyze volatility price spillover effects on the vertical levels including input, wholesale and retail sale levels in the tehran beef supply chain. the multivariate generalized autoregressive conditional heteroskedastic (mvgarch) model was used b...

We estimate the risk spillover among European banks from equity log-return data via Conditional Value at Risk (CoVaR). The joint dynamic of returns is modeled with a spatial DCC-GARCH which allows conditional variance log-returns each bank to depend on past volatility shocks other and their squared in parsimonious way. backtesting resulting measures provides evidence that (i) multivariate GARCH...

Volatility spillover effect in international financial markets is one of the principal issues that widely attract academic and industrial scholars’ attention. Through constructing a binary GARCH-BEKK model, this study empirically tests the volatility effects among stock market, gold market, WTI crude oil futures market and spot market, and concludes that there is bidirectional volatility spillo...

The class of Multivariate BiLinear GARCH (MBL-GARCH) models is proposed and its statistical properties are investigated. The model can be regarded as a generalization to a multivariate setting of the univariate BLGARCH model proposed by Storti and Vitale (2003a; 2003b). It is shown how MBL-GARCH models allow to account for asymmetric effects in both conditional variances and correlations. An EM...