An analysis of the weak form efficiency, multifractality and long memory of global, regional and European stock markets

2019 ◽  
Vol 72 ◽  
pp. 168-177 ◽  
Author(s):  
Walid Mensi ◽  
Aviral Kumar Tiwari ◽  
Khamis Hamed Al-Yahyaee
2020 ◽  
Vol 52 ◽  
pp. 101126 ◽  
Author(s):  
Guglielmo Maria Caporale ◽  
Luis A. Gil-Alana ◽  
Carlos Poza

2019 ◽  
Vol 21 (3) ◽  
pp. 285
Author(s):  
Shafir Zaman

Investors need to have an idea about stock market before making investment whether the stock markets are efficient or not to take investment decision in stock market. For that reason, measurement of market efficiency of stock market bears significance to investors. Bearing it in mind, the study is undertaken to find out the existence of weak form efficiency prevails in largest stock market of Bangladesh. In order to get perfect result Parametric and Non Parametric tests were conducted of DSE & CSE for 2013 to 2017. It was found from all tests that Dhaka and Chittagong Stock exchange are not weak form efficient. Therefore, the result of the study will act as a helping hand to researchers to find out the reason of Bangladesh stock market not being weak form efficient as well as providing measurement to make the stock market weak form efficient.


2017 ◽  
Vol 17(32) (3) ◽  
pp. 81-92
Author(s):  
Anna Górska ◽  
Monika Krawiec

The Efficient Market Hypothesis received much attention in the late 1970s. Those early studies focused on examining the efficiency of stock markets, however since that time the researchers’ interest has shifted to commodity markets. The studies usually focus on the markets of oil and of agricultural products, mainly grains. The efficiency of soft commodities market is also examined but not to the same extent. Majority of investigations focus on single products of this category. Thus the aim of our paper is to extend the research and to analyze the weak-form efficiency of six soft commodities: coffee, cocoa, sugar, cotton, frozen concentrated orange juice and rubber. Data under consideration covers daily spot prices of the commodities in the period 2007-2016. Having calculated their logarithmic returns we perform the following statistical tests: runs test, autocorrelation test, Box-Pierce and Box –Ljung tests. As the results obtained are not homogenous, this opens a door to further investigations with the use of different methodology.


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