scholarly journals PENGARUH PASAR SAHAM DUNIA TERHADAP PASAR SAHAM INDONESIA

ETIKONOMI ◽  
2012 ◽  
Vol 11 (2) ◽  
Author(s):  
Elvin Adityara

This research was intended to analyze the causality of the global stock markets to Indonesian stock market. The variables of this research were used stock price indices from nine countries. This research using Granger Causality and VAR from 2004 up to 2010. USA, Japan, and England were selected because those countries had strong economics. The results, there are causality Granger among the global stock markets to Indonesian stock market.The global stock markets that has bi-directional causality were Australian stock market, England stock market, Singapore stock market, and Philipine stock market. Meanwhile, the global stock markets that has uni-directional causality were Japan stock market, USA stock market, Hongkong stock market, and Malaysia stock market.DOI: 10.15408/etk.v11i2.1887

2018 ◽  
Author(s):  
Afriyeni

This research is aimed to examine the influence of global and regionalindexes for the stock price index in Indonesian Stock Exchange and todetermine the influence of global market stock price indices simultaneouslyor partially represented by three global stock markets to index IDX. As forthe third global stock market Hang Seng is representing Hongkong stockexchange, Nasdaq composite representing the United States Stock Marketand the Exchange FTSE representing Malaysia. This research is a statisticalstudy with data population composite stock price index


2011 ◽  
Vol 2011 ◽  
pp. 1-13 ◽  
Author(s):  
Yalong Guo ◽  
Jun Wang

We investigate the fluctuation behaviors of financial stock markets by Zipf analysis. In the present paper, the empirical research is made to describe ensembles and specifics of stock price returns for global stock indices, and the corresponding Zipf distributions are given. First we study the fluctuation behavior of global stock markets by(m,k)-Zipf method. Then we consider a dynamic stock price model, and we analyze the absolute frequencies and the relative frequencies for this financial model. Further, the Zipf distributions of returns for SSE Composite Index are studied for different time scales.


2020 ◽  
Author(s):  
Panagiotis Lazaris ◽  
Anastasios Petropoulos ◽  
Vasileios Siakoulis ◽  
Evangelos Stavroulakis ◽  
Nikos Vlachogiannakis ◽  
...  

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