empirical researches have shown that in highly volatile market, conditional correlation between returns is stronger, so diversification cannot reduce risk. to test this claim in iran’s financial market, quintiles of stock return distribution have been estimated by kernel density and garch models. then, average conditional correlation, error variance and conditional capm has been calculated to t...

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...

We propose a simple class of multivariate GARCH models, allowing for time-varying conditional correlations. Estimates for time-varying conditional correlations are constructed by means of a convex combination of averaged correlations (across all series) and dynamic realized (historical) correlations. Our model is very parsimonious. Estimation is computationally feasible in very large dimensions...

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...

We document that cross-sectional FX correlation dispersion is countercyclical, as FX pairs with high average correlation become more correlated in bad times whereas pairs with low average correlation become less correlated. We show that currencies that perform badly (well) during periods of high crosssectional disparity in conditional FX correlation yield high (low) average excess returns, sugg...