Modeling Different Sector Volatility of Iran Stock Exchange Using Multivariate GARCH Model

Document Type : Research Paper


1 . Professor of Econometrics & Social Statistics, Department of Economics, University of Semnan, Iran

2 Ph.D. student in Financial Economics, Department of Economics, Allameh Tabatabai University, Tehran, Iran


This paper uses a multivariate GARCH model to simultaneously estimate the mean and conditional variance using daily returns among different Tehran sector indexes from Tir 1386 to Tir 1391. Since different financial assets are traded based on these sector indexes, it is important for financial market participants to understand the volatility transmission mechanism over time and across sectors in order to make optimal portfolio allocation decisions. Results show significant transmission of shocks and volatility among different sectors. These findings support the idea of cross-market hedging and sharing of common information by investors in these sectors.