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...

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...

asymmetric information in iran’s insurance market: case study for automobile insurance in iran insurance companythis research aims to test the presence of asymmetric information by using the dynamic information of automobile policyholders in the iran insurance company (iic). the conditional independence test is conducted by bivariate probit model, the dynamic properties which are presented for ...

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...

We propose a generalization of the Dynamic Conditional Correlation multivariate GARCH model of Engle (2002) and of the Asymmetric Dynamic Conditional Correlation model of Cappiello et al. (2006). The model we propose introduces a block structure in parameter matrices that allows for interdependence with a reduced number of parameters. Our model nests the Flexible Dynamic Conditional Correlation...