The study examines factors that determine the financial performance of commercial banks in Ethiopia by using time series data over the period 2004-2019 on the sample of seven banks using secondary data.Moreover,the au...The study examines factors that determine the financial performance of commercial banks in Ethiopia by using time series data over the period 2004-2019 on the sample of seven banks using secondary data.Moreover,the autoregressive distributed lag model was used.Under this study,both internal and external factors were included as the determinants of bank performance which was measured by loan-to-deposit ratio.The internal factors used in this study include capital adequacy ratio,non-performing loan and loan growth while the external factors are real GDP growth and inflation.Based on the results,specific variables except non-performing loan capital adequacy and loan growth affect banks performance significantly in the long run.In the short run,in addition to those two variables,non-performing loan also affects bank performance.Real GDP growth has negative significant effect on the banks performance in both long and short run.Inflation has insignificant effects on bank performances in both long and short run.展开更多
The main purpose of this research was to analyze the impact<span style="font-family:;" "=""> </span><span style="font-family:Verdana;">the Chinese foreign direct in...The main purpose of this research was to analyze the impact<span style="font-family:;" "=""> </span><span style="font-family:Verdana;">the Chinese foreign direct investment (FDI), remittances, and foreign aid have had to human capital growth (HCG) and brain drain. The study data </span><span style="font-family:Verdana;">were</span><span style="font-family:Verdana;"> collected from five African countries (Nigeria, Kenya, Ghana, South Africa, and Morocco) from 2009 to 2018. Secondary sources were used in data collection, then autoregressive distributed lag (ARDL) modeling was used in the analysis. Before modelling was done, co-integration tests and panel unit were applied. The results revealed that Chinese FDI, remittances, and foreign aid had a significant and positive impact on HCG in the long</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">but not the short-run. Besides, remittances, Chinese FDI, and foreign aid demonstrated significant negative impacts on brain drain in the long term, not in the short term. This study makes important practical and theoretical contributions about the roles of Chinese FDI, remittances, and foreign aid in the reduction of brain drain and the growth of human capital.</span>展开更多
The China–US trade war during 2018–2019 has attracted attentions from academics,policy makers,businesses and investors around the world.Unlike previous researches which are mainly based on hypothetical scenarios,thi...The China–US trade war during 2018–2019 has attracted attentions from academics,policy makers,businesses and investors around the world.Unlike previous researches which are mainly based on hypothetical scenarios,this study looks at the real effects of the China–US trade war on the Chinese economy.Based on either weekly or monthly data during January 2018–December 2019 including creatively using the Google Trends data to measure the severity of the trade war,this study examines the effects of the China–US trade war on Chinese Renminbi,China–US bilateral trade and stock markets.展开更多
This study revisits the Fisher effect using a different empirical method that considers a potential nonlinear relationship between interest rates(treasury bond rates)and inflation in China.The rising uncertainty and a...This study revisits the Fisher effect using a different empirical method that considers a potential nonlinear relationship between interest rates(treasury bond rates)and inflation in China.The rising uncertainty and asymmetric information in financial markets between bond holders and bond issuers suggest such a potential nonlinear relationship.To this aim,we apply Shin et al.'s(2014)nonlinear autoregressive distributed lag(NARDL)model with asymmetric dynamic multipliers for the sample period 2002M7-2018M4.The empirical findings reveal symmetric and asymmetric partial Fisher effects for all sample bond rates in China.Furthermore,we find that 20-year bond rates experience the lowest partial Fisher effect.展开更多
文摘The study examines factors that determine the financial performance of commercial banks in Ethiopia by using time series data over the period 2004-2019 on the sample of seven banks using secondary data.Moreover,the autoregressive distributed lag model was used.Under this study,both internal and external factors were included as the determinants of bank performance which was measured by loan-to-deposit ratio.The internal factors used in this study include capital adequacy ratio,non-performing loan and loan growth while the external factors are real GDP growth and inflation.Based on the results,specific variables except non-performing loan capital adequacy and loan growth affect banks performance significantly in the long run.In the short run,in addition to those two variables,non-performing loan also affects bank performance.Real GDP growth has negative significant effect on the banks performance in both long and short run.Inflation has insignificant effects on bank performances in both long and short run.
文摘The main purpose of this research was to analyze the impact<span style="font-family:;" "=""> </span><span style="font-family:Verdana;">the Chinese foreign direct investment (FDI), remittances, and foreign aid have had to human capital growth (HCG) and brain drain. The study data </span><span style="font-family:Verdana;">were</span><span style="font-family:Verdana;"> collected from five African countries (Nigeria, Kenya, Ghana, South Africa, and Morocco) from 2009 to 2018. Secondary sources were used in data collection, then autoregressive distributed lag (ARDL) modeling was used in the analysis. Before modelling was done, co-integration tests and panel unit were applied. The results revealed that Chinese FDI, remittances, and foreign aid had a significant and positive impact on HCG in the long</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">but not the short-run. Besides, remittances, Chinese FDI, and foreign aid demonstrated significant negative impacts on brain drain in the long term, not in the short term. This study makes important practical and theoretical contributions about the roles of Chinese FDI, remittances, and foreign aid in the reduction of brain drain and the growth of human capital.</span>
文摘The China–US trade war during 2018–2019 has attracted attentions from academics,policy makers,businesses and investors around the world.Unlike previous researches which are mainly based on hypothetical scenarios,this study looks at the real effects of the China–US trade war on the Chinese economy.Based on either weekly or monthly data during January 2018–December 2019 including creatively using the Google Trends data to measure the severity of the trade war,this study examines the effects of the China–US trade war on Chinese Renminbi,China–US bilateral trade and stock markets.
文摘This study revisits the Fisher effect using a different empirical method that considers a potential nonlinear relationship between interest rates(treasury bond rates)and inflation in China.The rising uncertainty and asymmetric information in financial markets between bond holders and bond issuers suggest such a potential nonlinear relationship.To this aim,we apply Shin et al.'s(2014)nonlinear autoregressive distributed lag(NARDL)model with asymmetric dynamic multipliers for the sample period 2002M7-2018M4.The empirical findings reveal symmetric and asymmetric partial Fisher effects for all sample bond rates in China.Furthermore,we find that 20-year bond rates experience the lowest partial Fisher effect.