Longitudinal data are frequently analyzed using normal mixed effects models. Moreover, the traditional estimation methods are based on mean regression, which leads to non-robust parameter estimation for non-normal error distributions. Compared to the conventional mean regression approach, quantile regression (QR) can characterize the entire conditional distribution of the outcome variable and i...

One of the main issues in international finance is the ratio of exchange rate pass through to consumer prices. The main objective of this study is to examine the exchange rate fluctuations and its asymmetric effect on consumer prices in Iran’s economy. In the present study, the effects of positive and negative impacts of the exchange rate on inflation rate and other macroeconomic variables of I...

The present paper analyzes the existence of a long-run relationship between the trade balance and exchange rate of Iran and South Korea by a new approach. It proposes an asymmetric co-integrating NARDL model by two positive and negative partial sum decompositions which can use mixed I (0) and I (1) variables by bounds testing approach. The proposed tests are based on calculated F –statistics an...

in this research the asymmetric and non-linear correlation between the market returns and trading volume variables has modeled with the dcc-garch approach; and the impacts of market shocks, weekend and calendar effects on the market returns and trading volume are surveyed. the estimation results of parameters of the model by the maximum likelihood method show that previous day’s market return h...

The stochastic volatility model usually incorporates asymmetric effects by introducing the negative correlation between the innovations in returns and volatility. In this paper, we propose a new asymmetric stochastic volatility model, based on the leverage and size effects. The model is a generalization of the exponential GARCH (EGARCH) model of Nelson (1991). We consider categories for asymmet...