This paper illustrates how to specify and test a Double Threshold EGARCH Model for some important exchange rates. The analysis is monthly and refers to the period 1990.01-2007.06. The procedure involves testing for Threshold effects the residuals of a linear autoregressive model of the exchange...

In this note, we revisit the univariate unobserved-component (UC) model of US GDP by relaxing the traditional random-walk assumption of the permanent component. Since our general UC model is unidentified, we investigate the upper bound of the contribution of the transitory component, and find it...

We propose a model to estimate the price volatility in of the Mexican Export Crude Oil Blend. The analysis relies on the conditional standard deviations obtained from a GARCH model. Data includes diary oil prices between January 2nd, 1998 and February 14th, 2007. The chosen model is of the GARCH...

This study examines the day-of-the-week effects in the Taiwan, Singapore, Hong Kong and South Korea stock markets. Various significant day-of-the-week effects, including the typical negative Monday and positive Friday effects are detected in the stock markets Taiwan, Singapore and Hong Kong....

There have been numerous studies on the relationship between volatility of exports and economic growth. Most of these studies have used cross-section data. Recently, some studies have used time series data to study the relationship. However, there have been no studies which have used the GARCH...

This paper empirically investigates the impact of trade and financial liberalization on economic growth in Pakistan using annual observations over the period 1961-2005. The analysis is based on the bound testing approach of cointegration advanced by Pesaran et al (2001). The empirical findings...

This paper examines the performance of prediction intervals based on bootstrap for threshold autoregressive models. We consider four bootstrap methods to account for the variability of estimates, correct the small-sample bias of autoregressive coefficients and allow for heterogeneous errors....

Abstract: I apply the Beveridge-Nelson business cycle decomposition method to the time series of murder in the United States (1900-2004). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincides with documented waves of organized crime, internal...

Using two data series, namely GDP and the index of industrial production, we study the relationship between output variability and the growth rate of output. Ng-Perron unit root test shows that the growth rate of GDP is non-stationary but the growth rate of industrial output is stationary. Thus,...

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder in the State of California. (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincides with documented waves of organized crime,...