The global epidemic of COVID-19 has made a huge impact on global health and financial markets.And the spread of the virus has stalled economic development in many parts of the world.As stocks and bonds are two importa...The global epidemic of COVID-19 has made a huge impact on global health and financial markets.And the spread of the virus has stalled economic development in many parts of the world.As stocks and bonds are two important financial assets,how to take appropriate economic policies to restore the stock and bond markets is the focus of governments as they are seeking for quick recovery.Based on the Event Study method and the GARCH model,data from 1 October 2019 to 1 April 2020 were collected from 26 countries or regions as analytic samples.The results show:1)COVID-19 has made greater impacts on the stock market than the bond market;2)the economic policy responses after the COVID-19 has brought impacts on both of the stock and the bond markets;3)the monetary policy responses has brought greater volatility to the stock market than the fiscal policy responses,while the fiscal policy responses has brought greater volatility to the bond market than the monetary policy;4)the fiscal policy has brought more positive effects on the stock market,and monetary policy has brought more positive effects on the bond market.This research is helpful to understand the mechanism of COVID-19’s impacts on the stock and bond market.And it is of great practical significance to the governments’decisions to make economic policy responses after an epidemic.展开更多
This paper investigates the time-frequency dependence,return and volatility connectedness,dynamic linkages,and portfolio diversification gains among oil and China’s sectoral commodities,namely,Petrochemicals(CIFI),Gr...This paper investigates the time-frequency dependence,return and volatility connectedness,dynamic linkages,and portfolio diversification gains among oil and China’s sectoral commodities,namely,Petrochemicals(CIFI),Grains(CRFI),Energy(ENFI),Non-ferrous metals(NFFI),Oil&Fats(OOFI),and Softs(SOFI),utilizing a proposed research framework that contains the wavelet coherence,novel TVP-VAR based connectedness,and the cDCC-,DECO-FIAPARCH(1,d,1)model.The empirical results demonstrate that global oil market exhibits a relatively higher(lower)coherence with ENFI,NFFI,and OOFI(CRFI)on the long-term time horizon and the oil market leads China’s sectoral commodities during most sample periods.The crude oil market transmits significant connectedness to China’s sectoral commodities,especially the energy commodity sector(ENFI).The dynamic return and volatility total spillovers tend to intensify and exhibit significant fluctuations during the GFC and the oil price collapse.Further,the time-varying linkages among oil and China’s sectoral commodities are positive and fluctuant,mainly at a relatively low level.The dynamic return and volatility connectedness,multi-view linkages,optimal portfolio weights,and hedging ratios display significant time-varying features.The oil-commodity nexus offers diversification benefits and the optimal-weighted portfolio presents the best variance and downside risk reduction performance.Furthermore,risk management effectiveness is market-condition-dependent and heterogeneous across different commodity sectors and sub-samples.This paper can not only help investors and market regulators to capture the complex interconnectedness and risk transmission trajectory among oil and China’s sectoral commodities but also benefits for investors and portfolio managers to construct optimal portfolios and hedging strategies.展开更多
文摘The global epidemic of COVID-19 has made a huge impact on global health and financial markets.And the spread of the virus has stalled economic development in many parts of the world.As stocks and bonds are two important financial assets,how to take appropriate economic policies to restore the stock and bond markets is the focus of governments as they are seeking for quick recovery.Based on the Event Study method and the GARCH model,data from 1 October 2019 to 1 April 2020 were collected from 26 countries or regions as analytic samples.The results show:1)COVID-19 has made greater impacts on the stock market than the bond market;2)the economic policy responses after the COVID-19 has brought impacts on both of the stock and the bond markets;3)the monetary policy responses has brought greater volatility to the stock market than the fiscal policy responses,while the fiscal policy responses has brought greater volatility to the bond market than the monetary policy;4)the fiscal policy has brought more positive effects on the stock market,and monetary policy has brought more positive effects on the bond market.This research is helpful to understand the mechanism of COVID-19’s impacts on the stock and bond market.And it is of great practical significance to the governments’decisions to make economic policy responses after an epidemic.
基金supported by the National Natural Science Foundation of China under Grant No.71573042the Natural Science Foundation of Fujian Province under Grant No.2017J01794。
文摘This paper investigates the time-frequency dependence,return and volatility connectedness,dynamic linkages,and portfolio diversification gains among oil and China’s sectoral commodities,namely,Petrochemicals(CIFI),Grains(CRFI),Energy(ENFI),Non-ferrous metals(NFFI),Oil&Fats(OOFI),and Softs(SOFI),utilizing a proposed research framework that contains the wavelet coherence,novel TVP-VAR based connectedness,and the cDCC-,DECO-FIAPARCH(1,d,1)model.The empirical results demonstrate that global oil market exhibits a relatively higher(lower)coherence with ENFI,NFFI,and OOFI(CRFI)on the long-term time horizon and the oil market leads China’s sectoral commodities during most sample periods.The crude oil market transmits significant connectedness to China’s sectoral commodities,especially the energy commodity sector(ENFI).The dynamic return and volatility total spillovers tend to intensify and exhibit significant fluctuations during the GFC and the oil price collapse.Further,the time-varying linkages among oil and China’s sectoral commodities are positive and fluctuant,mainly at a relatively low level.The dynamic return and volatility connectedness,multi-view linkages,optimal portfolio weights,and hedging ratios display significant time-varying features.The oil-commodity nexus offers diversification benefits and the optimal-weighted portfolio presents the best variance and downside risk reduction performance.Furthermore,risk management effectiveness is market-condition-dependent and heterogeneous across different commodity sectors and sub-samples.This paper can not only help investors and market regulators to capture the complex interconnectedness and risk transmission trajectory among oil and China’s sectoral commodities but also benefits for investors and portfolio managers to construct optimal portfolios and hedging strategies.