modeling different sector volatility of iran stock exchange using multivariate garch model

نویسندگان

اسمعیل ابونوری

استاد اقتصادسنجی و آمار اجتماعی بخش اقتصاد دانشگاه سمنان، ایران محمدرضا عبداللهی

دانشجوی دکترای اقتصاد مالی، دانشکده اقتصاد دانشگاه علامه طباطبایی، تهران، ایران

چکیده

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.

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