We develop a GARCH model with autoregressive conditional asymmetry to describe time-series. This means that, in addition to the conditional mean and variance, we assume that the skewness describes the behavior of the time-series. Analytically, we use the methodology proposed by Fernández and...

This paper presented the empirical results of the volatility transmission of overnight rate along the yield curve in case of Pakistan. The results indicate that the volatility transmission of overnight repo rate is higher at the shorter end of the yield curve while lower at the longer end. These...

In this paper, the variance-ratio test and the ARMA-GARCH (1,1) are used to test whether the Stock Exchange of Thailand is an efficient market. Using monthly market index during January 1987 and December 2006, the variance-ratio test shows that the market index follows a random walk process, and...

We construct one triple-threshold GARCH model to analyze the asymmetric response of mean and conditional volatility. In parameter estimation, we apply Griddy-Gibbs sampling method, which require less work in selection of starting values and pre-run. As we apply this model in Chinese stock...

How does inflation uncertainty interact with inflation rate? The purpose of this article is to assess this question in Egypt in a wavelets transform framework. We investigate the direction of causality in the relationship inflation-inflation uncertainty by combining component GARCH model,...

We study optimal asset allocation for a portfolio of European fixed-income mutual funds during the recent financial turmoil. We use a sample of daily returns for country indices of French, German and Italian funds to investigate the quest for international diversification. Our analysis focuses...

This paper considers estimating the conditional mean and variance from a single-equation dynamic model with the mean following an ARMA (1,7) process, and the conditional variance with time-dependent conditional heteroskedasticity as represented by ARCH models. The volatility is measured by a...

This paper introduces the concept of risk parameter in conditional volatility models of the form $\epsilon_t=\sigma_t(\theta_0)\eta_t$ and develops statistical procedures to estimate this parameter. For a given risk measure $r$, the risk parameter is expressed as a function of the volatility...

The interaction of volatility between the financial markets and gold market is analyzed. The volatility of the price of gold in euros, the price of gold in dollars, the U.S. industrial production índex, the S&p500 index, the VIX índex and the PSI20 index for a time horizon between January 1993...

In the past decades, there has been an unprecedented increase in cross border transactions between countries in terms of goods and financial flows. This integration has been fuelled by search of lower risk investments, risk diversification, search for cost effective and more efficient factors of...