A new vision about the influence of major stock markets in CEEC indices: a bidirectional dynamic analysis using transfer entropy

2021 ◽  
pp. 1-16
Author(s):  
Paulo Ferreira ◽  
Andreia Dionísio ◽  
Dora Almeida ◽  
Derick Quintino ◽  
Faheem Aslam
Author(s):  
Tran Thi Tuan Anh

This paper uses transfer entropy to measure and identify the information flows between stock markets in the ASEAN region. Data on daily closing stock indices, including Vietnam, the Philippines, Malaysia, Indonesia, Thailand, and Singapore, are collected for the period from March 2012 to October 2019 to calculate these transfer entropies. The research results of this article can be considered in two aspects: one is, how information flow originating from one market will be accepted by other markets and secondly, information flow that markets receive. From the perspective of incoming transfer entropy, Vietnam is the country most affected by information from the other ASEAN markets while Indonesia and Malaysia are the least affected. In terms of outgoing entropy, Thailand is the largest source of information flow to the ASEAN markets. Malaysia and the Philippines are the two countries that receive minor information impact from other countries. The research also reveals that the Singapore stock market is rather separate from the other ASEAN countries. The research results also imply that, for investors and policymakers, defining the information flows among ASEAN stock markets can help to predict market movements, thereby developing a suitable investment strategy or establishing appropriate management policies.


Author(s):  
Paulo Ferreira ◽  
Éder Pereira

The numbers of COVID-19 increase daily, both confirmed cases and deaths. All over the world, shock waves are felt with impacts on economies in general and the financial sector in particular. Aiming to assess the relationship between confirmed cases and deaths and the behaviour of stock markets, the authors perform a dynamic analysis, based on the Pearson correlation coefficient, for 10 of the most affected countries in the world. As expected, they find evidence that the number of COVID-19 cases had a negative effect on stock markets, and that the current second wave is penalizing them. They also find that deaths have a more relevant impact than the number of confirmed cases.


Author(s):  
Xunfa Lu ◽  
Fredrick Oteng Agyeman ◽  
Ma Zhiqiang ◽  
Mingxing Li ◽  
Agyemang Akwasi Sampene ◽  
...  

Examining the contemporaneous causality between Chinese and Ghanaian stock markets before and amidst the coronavirus disease 2019 (COVID-19) pandemic is of immense interest to many stakeholders in making effective and efficient decisions. This study investigates why the two stock markets’ fluctuations seem to move in tandem despite a broader economic phenomenon. Shanghai Stock Exchange and Ghanaian Stock Exchange composite indices data were used for this study spanning 2011-2020. The Granger causality and transfer entropy are applied to investigate the mean transmission. The Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroscedasticity (DCC-GARCH) model portrays the dynamic correlation and the ARMA model is used to fit the log-returns of the two indices. Results show that the Chinese stock market has a substantial causal effect on the Ghanaian stock market based on transfer entropy with the second order of lag while there is a considerable causality from the stock market of Ghana to the Chinese stock market through the third and fifth orders of lags. This implies the asynchronous return transmission between Chinese and Ghanaian stock markets. Moreover, the long term volatility connection significantly impacts the two markets, but the short-term volatility pattern does not heavily affect the markets based on the DCC-GARCH model. The best-fitted model for the log returns of two stock markets is ARMA (1,1). This study recommends that policymakers and investors adopt diversification as a resort to financial management.


2019 ◽  
Vol 162 ◽  
pp. 39-45
Author(s):  
Zhenni Jin ◽  
Yijing Wang ◽  
Xiao Cui ◽  
Kun Guo

2014 ◽  
Vol 68 ◽  
pp. 180-185 ◽  
Author(s):  
Ahmet Sensoy ◽  
Cihat Sobaci ◽  
Sadri Sensoy ◽  
Fatih Alali

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