Impact of Epidemic Infectious Disease and Death on Stock Return: Evidences from Asian Stock Markets with COVID-19

2020 ◽  
Author(s):  
Shiba Sapkota ◽  
Tek Bahadur Madai
2019 ◽  
Vol 10 (6) ◽  
pp. 14
Author(s):  
Chikashi Tsuji

This study empirically examines the return transmission effects between the four North and Latin American stock markets in the US, Canada, Brazil, and Mexico. More specifically, applying a standard vector autoregression (VAR) model, we obtain the following interesting findings. First, (1) the return transmission effects between the four North and Latin American stock markets became much tighter in our second subsample period. Second, (2) in particular, US and Mexican stock markets are strong return transmitters in the recent period. Furthermore, (3) both in our first and second subsample periods, Brazilian stock returns do not transmit to the other three stock returns, although the other three North and Latin American stock markets affect the Brazilian stock market.


2015 ◽  
Vol 16 (5) ◽  
pp. 737-746 ◽  
Author(s):  
Shah Saeed Hassan Chowdhury ◽  
M. Arifur Rahman ◽  
M. Shibley Sadique
Keyword(s):  

2017 ◽  
Vol 20 (2) ◽  
pp. 229-256
Author(s):  
Linda Karlina Sari ◽  
Noer Azam Achsani ◽  
Bagus Sartono

Stock return volatility is a very interesting phenomenon because of its impact on global financial markets. For instance, an adverse shocks in one country’s market can be transmitted to other countries’ market through a particular mechanism of transmission, causing the related markets to experience financial instability as well (Liu et al., 1998). This paper aims to determine the best model to describe the volatility of stock returns, to identify asymmetric effect of such volatility, as well as to explore the transmission of stocks return volatilities in seven countries to Indonesia’s stock market over the period 1990-2016, on a daily basis. Modeling of stock return volatility uses symmetric and asymmetric GARCH, while analysis of stock return volatility transmission utilizes Vector Autoregressive system. This study found that the asymmetric model of GARCH, resulted from fitting the right model for all seven stock markets, provides a better estimation in portraying stock return volatility than symmetric model. Moreover, the model can reveal the presence of asymmetric effects on those seven stock markets. Other finding shows that Hong Kong and Singapore markets play dominant roles in influencing volatility return of Indonesia’s stock market. In addition, the degree of interdependence between Indonesia’s and foreign stock market increased substantially after the 2007 global financial crisis, as indicated by a drastic increase of the impact of stock return volatilities in the US and UK market on the volatility of Indonesia’s stock return.


2020 ◽  
Vol 4 (1) ◽  
pp. 174-191
Author(s):  
Shiba Prasad Sapkota

The causal comparative study regarding impact of pandemic COVID-19 on stock return revealed that the changes on daily confirmed new cases have been severely inflected stock returns in overall as well as cross-over the industries. Whereas, the influence of death form COVID-19 found negative but mostly insignificant. The categorical variables size of economy, geographical area, regulations, and country specific impact have been found very low. The empirical evidences were examined using causality test with the backing of regression. The study period has covered 20thJanuary to 30thMay 2020, considering eight nations: China, India, Israel, Japan, Korea Republic, Malaysia, Saudi Arabia, and United Arab Emirates, as samples.


2020 ◽  
Vol 61 ◽  
pp. 101301
Author(s):  
Katsiaryna Zhaunerchyk ◽  
Afshin Haghighi ◽  
Barry Oliver
Keyword(s):  

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