This study aims to prove how COVID-19 in response the Indonesia stock market applying an Auto-Regressive Distributed Lag (ARDL) cointegration method. analyzes relationship between natural logarithm of daily trading volume Stock Exchange and confirmed cases both short run long run. Bound test were used analyze data from 2 March 2020 until 30 November 2020. The findings result show short-run, is ...

The paper investigated the effect of investment promotion (IP) on foreign direct investment flow (FDI) into Ghana. Cointegration among the variables was established using auto regressive distributed lag (ARDL) models in the presence of a mix of I (0) and I (1) variables. The control variables, inflation and trade openness were statistically significant in the short run. Whilst inflation exerted...

This study investigates the impact of agricultural financing and output growth on employment generation in Nigeria from 1981 to 2017. The adopts framework Auto Regressive Distributed Lag (ARDL) Model for analysis. empirical results show that while increases both short run long run, lag mainly run. Other variables found have significant effect were price labor force population, wages aggregate e...

Abstract With the rapid expansion of RMB exchange rate’s floating range, effects rate and global commodity price changes on China’s stock prices are likely to increase. This study uses both auto regressive distributed lag (ARDL) nonlinear ARDL (NARDL) approaches explore symmetric asymmetric prices. Our findings show that without considering critical variable prices, there is no cointegration re...

The role of institutions in both the inflow and impact foreign direct investment is great im¬portance. quality a country can towards improving growth. This paper analyzes individual combined effect on economic growth Ghana. used Auto Regressive Distributed Lag (ARDL) tech¬nique for secondary data obtained from 1995 to 2019. All series, except institution index, were drawn World Bank Development...

JEL Classification: F16, F43 This study examines the impacts of CO2 emissions on economic growth of Vietnam for the period 1986-2015 by using Autogressive Distributed Lag (ARDL) model. The results reveal that there is cointegration relationship between CO2 emissions and economic growth. In the long run carbon dioxide emissions have a significant negative impact on Vietnam economic growth. There...

Abstract This study aims at examining the extent to which exchange rate impacts on balance of payments in Algeria (BoP) during period 1980-2019, using Auto-Regressive Distributed Lag (ARDL) model and Error Correction Model (ECM). approach tests presence a long-run relationship between variables.A set relevant variables, addition rate, were used include real interest oil price, GDP per capita, G...

This study examines the long-run relationship between carbon emissions and energy consumption, income and foreign trade in the case of China by employing time series data of 1975–2005. In particular the study aims at testing whether environmental Kuznets curve (EKC) relationship between CO2 emissions and per capita real GDP holds in the long run or not. Auto regressive distributed lag (ARDL) me...