this paper employs a multivariate dynamic conditional correlation garch model, which is developed by engle (2001, 2002), to detect the timing and nature of changes in the comovement between iranian output and prices for the periods after iran–iraq war , known as imposed war . the results showed that there is a weak correlation between output and prices after imposed war and  varies periodically...

Today, neuroscientists are interested in discovering human brain functions through brain networks. In this regard, the evaluation of dynamic changes in functional connectivity of the brain regions by using functional magnetic resonance imaging data has attracted their attention. In this paper, we focus on two model-based approaches, called the exponential weighted moving average model and the d...

the current paper examines intertemporal capital asset pricing model in iran’s stock market. dynamic conditional correlation was used to estimate conditional variance and covariance portfolios with market returns. time varying beta is estimated by kalman filter method. based on the obtained results, risk aversion coefficients were between 0.013 and 0.28 and the average was 0.20. significance of...

This paper investigates the conditional correlations and volatility spillovers between the dollar exchange rate return, gold coin return and crude oil return to stock index return. Monthly returns in the 144 observations (2005 - 2017) are analyzed by constant conditional correlation, dynamic conditional correlation, VARMA-GARCH and VARMA-AGARCH models. So this paper presents interdependences in...