This paper uses threshold autoregressive (TAR) and momentum threshold autoregressive (M-TAR) models to address the problem of asymmetry within the Portuguese stock market. These asymmetric error correction models extend the original cointegration models to deal with the problem of low power of...

This paper analyses the behaviour of volatility for several international stock market indexes, namely the SP 500 (USA), the Nikkei (Japan), the PSI 20 (Portugal), the CAC 40 (France), the DAX 30 (Germany), the FTSE 100 (UK), the IBEX 35 (Spain) and the MIB 30 (Italy), in the context of...

This paper provides further evidence on the impact of crime on the job market using the time series data over the period 1980-2007 for Argentina. We also address methodological flaws by earlier crime studies by employing autoregressive distributed lag (ARDL) approach to cointegration advocated...

This paper explores the relationship between exports, financial development and economic growth in case of Pakistan. In doing so, the autoregressive distributed lag (ARDL) bounds testing approach to cointegration and error correction model are applied to test the long run and short run...

In this paper we empirically analyse the factors which determined consumer credit in Greece in the period before and after the financial liberalisation, while accounting for significant changes in structure due to the lifting of credit restrictions and the subsequent impressive boom of consumer...

In this study we employed the ARDL bound test in order to detect cointegration relation of oil price and oil price fluctuation with GDP, exports and inflation in Pakistan. Our results confirmed cointegration among the variables when GDP was considered as dependent variable, while in case of...

This study is different from previous energy-GDP cointegration/causality ones by examining whether total energy consumption by industry causes total industry GDP (or vice versa), and whether per capita GDP causes per capita road and residential sector energy use (or vice versa) for a number of...