This study examines the asymmetric effects of positive and negative changes in media attention to COVID-19 daily new confirmed cases on China’s stock market volatility by utilizing nonlinear autoregressive distributed lag (NARDL) model. Empirical results show that has a pronounced effect this is greater than direct impact COVID-19. Finally, several important policy implications arise from these...

This paper models the price and income elasticity of retail finance in Australia using aggregate quarterly data and an autoregressive distributed lag (ARDL) approach. We particularly focus on the impact of the global financial crisis (GFC) from 2007 onwards on retail finance demand and analyse four submarkets (period analysed in brackets): owneroccupied housing loans (Sep 1985–June 2010), term ...

Abstract This paper investigates the effect of renewable energy on economic growth in Croatia for period 1996-2018. The Autoregressive Distributed Lag (ARDL) technique is used to find long run relationships between energy, consumption and growth. empirical analysis indicates that has a positive significant short run. These findings indicate Croatian government can continue boost investment with...

In this paper we develop new system-equation tests for threshold cointegration based on a threshold vector autoregressive distributed lag (ADL) model. The proposed tests do not require weak exogeneity, and can be applied when cointegrating vector is unknown. The asymptotic null distributions of the tests are expressed as functionals of two-parameter Brownian motion. The distributions are free o...

This study investigates the relationship between industrial employment and producer price index-based real effective exchange rate, over period 2009M01-2019M10, by employing autoregressive distributed lag cointegration procedure, for Turkish economy. The empirical findings support existence of a positive appreciation rate an increase in employment. Accordingly, 1% leads to 0.092% finding suppor...