return maximization or risk minimization is goal in portfolio optimization based on mean variance theory. the structure of correlation matrices and individual variance of each asset are two main factors in optimization with risk minimization object. it’s necessary to use appropriate variance and correlation coefficient for time series with clustering volatilities feature, too. in this research,...

This paper analyzes the links between the firms investment technology and financial asset prices within a general equilibrium production economy. The model assumes that real investment is irreversible and subject to convex adjustment costs. It shows how these basic features of real investment naturally generate rich dynamics of stock returns. Firm investment activity and firm characteristics, p...

This paper investigates the dynamic conditional correlations (DCC) of stock returns between China and international markets. Statistics suggest that stock-return correlations across markets are time-varying, displaying a structural change triggered by an upward shift in China’s adoption of financial liberalization and the occurrence of the worldwide financial crisis. The dynamic correlations ar...

Chinese commodity futures markets have become some of the most important derivative markets worldwide. This paper studies the optimal hedge ratios on two popular contracts in China, soybeans and copper, by employing copula functions. Our empirical results suggest that the proposed copula hedging strategy outperforms the simple regression method and dynamic conditional correlation (DCC) method b...

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...