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 ...

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...

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...

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...

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...

Agricultural trade significantly promotes the economic boom in developing countries. Extensive traditional agricultural production methods have increased pressure on environment by expanding trade, which has attracted attention of many scholars. This study aims to empirically examine impacts growth and environmental pollution Bangladesh from 1972 2019, using an Auto Regressive Distributed Lag (...

The purpose of this study is to analyze the role capital structure (CS) on profitability for a sample consisting 27 financial firms listed Iraq Stock Exchange (ISE) period (2012-2020). Square Fully Modified Ordinary Least Squares model (FMOLS), and Auto Regressive Distributed Lag Model (ARDL) were resorted estimate parameters regression model. results reveal that CS current has negative relatio...

abstract oil export revenues have a major share in both iranian government incomes and gross domestic product (gdp). with regard to the importance of agricultural sector in economic growth, rural development and rural welfare improvement, this sector indubitably influenced by temporary and unexpected shocks in oil export. therefore we employed feder(1982) and auto-regressive distributed lag (ar...