Over the years, macroeconomic fundamentals and stock market were found to have symmetrical relationship in numerous scientific investigations. These provide crucial knowledge regarding price indices by providing forecasts for future information on current status of economy. This study employs a Nonlinear Autoregressive Distributed Lags (NARDL) model fill research gap estimating asymmetric betwe...

Growing development of various industries and the necessity for paying attention to sustainable development, on one hand, undesirable effects environmental pollution agricultural social aspects countries, other have caused protection be main concerns policymakers. Accordingly, in recent decades, a large amount theoretical empirical research has focused methods improving quality related effectiv...

This article investigates the asymmetric effects of both natural resource abundance and agriculture on economic growth in Guinea (also known as Conakry). Using nonlinear autoregressive distributed lag (NARDL) approach annual data from over period 1986-2020, findings tend to suggest that has a negative effect while promotes growth. More precisely, results show an increase rents leads decrease GD...

Bu çalışma, Türkiye’de 2003 Ocak-2019 Ocak dönemi arasında Ready (2018) tarafından önerilen üç farklı petrol fiyatı şokunun (talep, arz ve risk) BIST100 getirisi üzerindeki doğrusal olmayan etkisini NARDL modeli yaklaşımı ile incelemektedir. Elde ettiğimiz sonuçlarda şoklarıyla eşbütünleşme ilişkisinin varlığına şoklarındaki pozitif negatif değişmelerin kısa uzun dönemde önemli ölçüde değiştiği...

The prime objective of the study is to examine asymmetric effect institutional quality and other control variables on environmental sustainability in G7 economies. examined data from 1986 2020 using a nonlinear ARDL (NARDL) technique. outcomes show heterogeneous results for sampled findings confirm relationship between quality, foreign direct investment, trade openness, economic growth, countri...

Money demand determinants vary in every economy. There are many studies about Iran money demand function, which employed different variables and estimation methods. In this study, broad money (M2) is dependent variable and GDP, interest rate, exchange rate and household religious costs are descriptive variables. Household religious costs (urban and rural) are included in Iran money demand funct...

The study examined the effect of financial development on energy consumption in Nigeria from 1990 to 2020. made use secondary data and was analyzed using Non-linear Autoregressive Distributed Lag Model (NARDL). Domestic credit private sector used measure development, while fossil fuel renewable were non-renewable respectively. Other variables included Gross domestic product, interest rate, infl...

The study examines the asymmetric effect of oil price on exchange rate and stock using Nonlinear Autoregressive Distributive Lag (NARDL) technique time-series data spanning from January 1996 to September 2020. multivariate cointegration test showed evidence a long-run relationship among price, rate, price. linear Granger causality that is granger caused by cause rate. nonlinear nonlinearity BDS...