This study applies a threshold autoregressive (TAR) model to monthly stock prices for three South Asian countries over the period from 1991:01 to 2009:09. Two main conclusions are drawn. Firstly, the results indicate that all the stock prices in this study exhibit non-linear behavior. Secondly,...

This paper discusses Bayesian procedures for factor selection in dynamic term structure models through simulation methods based on Markov Chain Monte Carlo. The number of factors, besides influencing the fitting and prediction of observed yields, is also relevant to features such as the...

This paper elaborates a Spatial Autoregressive and Spatial Error Model (SAR-SE Model) to investigate the Italian house price dynamics. House prices in real terms have been modelled for the period 1995-2008 in all the 103 Italian provinces along with affordability ratio, persistency term, some...

We study implications of persistence of shocks in total factor productivity (TFP) growth under Bayesian framework for a set of African countries over the period 1970-2003. Contrary to convention, we find that stochastic unit root is present for most of the African countries and that there is...

According to market heterogeneity hypothesis, financial markets are characterized by the presence of heterogeneity of participants with different sensibilities to different time scales. Although Wavelet based Value at Risk is able to represent dealing frequencies of market participants, it...

In this study, we applied a newly-developed Autoregressive Distributed Lag (ADL) test for threshold cointegration, proposed by Li and Lee (2010) to test the validity of long-run purchasing power parity (PPP) for a sample of 18 African countries from January 1985 to September 2008. Empirical...

We propose a computationally efficient approximation for the double bootstrap bias adjustment factor without using the inner bootstrap loop. The approximation converges in probability to the population bias correction factor. We study the finite sample properties of the approximation in the...

We address the issue of panel cointegration testing in dependent panels, showing by simulations that tests based on the stationary bootstrap deliver good size and power performances even with small time and cross-section sample sizes and allowing for a break at a known date. They can thus be an...

The aim of this paper is to introduce a new methodology to forecast the monthly economic indicators used in the Gross Domestic Product (GDP) modelling in order to improve the forecasting accuracy. Our approach is based on multivariate k-nearest neighbors method and radial basis function method...