scholarly journals Weak Form Efficiency of the Chittagong Stock Exchange: An Empirical Analysis (2006-2016)

2017 ◽  
Vol 6 (11) ◽  
pp. 58 ◽  
Author(s):  
Shahadat Hussain ◽  
Sujit Kumer Deb Nath ◽  
Md. Yeasir Arafat Bhuiyan

<p>We study the random walk behavior of Chittagong Stock Exchange (CSE) by using daily returns of three indices for the period of 2006 to 2016 employing both non-parametric test (run test) and parametric tests [autocorrelation coefficient test, Ljung– Box (LB) statistics]. The skewness and kurtosis properties of daily return series are non-normal, with a hint of positively skewed and leptokurtic distribution. The results of run test; autocorrelation and Ljung–Box (LB) statistics provide evidences against random walk behavior in the Chittagong Stock Exchange. Overall our result suggest that Chittagong Stock Exchange does not exhibit weak form of efficiency. Hence, there is opportunity of generating a superior return by the active investors.</p>

2015 ◽  
Vol 4 (2) ◽  
pp. 79-90
Author(s):  
Md.‬ Abu Hasan‬‬‬‬‬‬‬‬

Measuring the efficiency of the stock market is an important research topic as there are various implications for investors. This paper investigates the weak form efficiency in the framework of the random walk hypothesis for the stock market in Bangladesh, employing both Non Parametric tests (Runs test and Phillips-Perron test) and Parametric tests (Autocorrelation test, Augmented Dickey-fuller test, and Variance Ratio test). The study uses daily return data for the three stock indices of Dhaka Stock Exchange such as DSI (from 02 January 1993 to 27 January 2013) with a total of 4823 daily return observations, DGEN (from 01 January 2002 to 31 July 2013) with a total of 2903 daily return observations, and DSE-20 (from 01 January 2001 to 27 January 2013) with a total of 3047 daily return observations. The evidence suggests that all the return series do not follow the random walk model, and thus the Dhaka Stock Exchange is inefficient in weak form. Thus, historical stock prices can be used to achieve superior gains from the stock markets in Bangladesh. JEL Classification Code: C22, G10, G14


2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Shakila Yasmin ◽  
Mahmudur Rahman ◽  
Md. Gazi Salah Uddin

The paper tries to find evidence supporting the impact of continuous policy reforms on the market efficiency on the Dhaka Stock Exchange (DSE). Different policies formed/reformed from 1994 to 2005 were categorized in eleven groups depending on their time of issue and subject matter. To get the result, both nonparametric test (Kolmogrov-Smirnov normality test and run test) and parametric test (autocorrelation test, autoregression) have been performed. Analyses were done for each policy group, and it is found that formed/reformed policies for DSE during the study period failed to improve the market efficiency even in the weak form level.


2019 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Shakila Yasmin ◽  
Mahmudur Rahman ◽  
Gazi Salah Uddin

The paper tries to find evidence supporting the impact of continuous policy reforms on the market efficiency on the Dhaka Stock Exchange (DSE). Different policies formed/reformed from 1994 to 2005 were categorized in eleven groups depending on their time of issue and subject matter. To get the result, both non-parametric test (Kolmogrov-Smirnov normality test and Run test) and parametric test (Auto-correlation test, Auto-regression) has been performed. Analyses were done for each policy group, and it is found that formed/reformed policies for DSE during the study period failed to improve the market efficiency even in the weak form level


2019 ◽  
Vol 8 (1) ◽  
pp. 183
Author(s):  
Tharwah Shaalan

The aim of this paper is to examine the normality of the destitution of the main Saudi TASI Index and the other sub-indices, as well as to test the random walk hypotheses of the Saudi TASI index and the random walk hypotheses of the main sectors index and the sub-indices in Saudi capital market. It investigates the weak form efficiency of the Saudi capital market. The study highlights the importance of structuring in the Saudi market, with regard to the redistribution of some companies in other sectors, in addition to the increase in the number of companies listed in the Saudi Tadawul market, where the study included larger and longer sectors in terms of the time period. An as extension, it requests the reconsideration of some previous studies, some of which proved the efficiency of the Saudi market and others which proved the inefficiency of the Saudi market at the level of low efficiency. The study test includes daily indices return from December 2002–October 2010. The results show that return series of all Saudi market indices have non-normal distribution. This paper applied four tests to examine the study’s hypotheses. The Shapiro Wilk test of normality of the Skewness/Kurtosis applied and the other tests for RWH Box-Ljung, the other test one is parametric test Augmented Dicky-Fuller test and the other test is non-parametric test Phillips-Perron test and Run test. The result that was found states that the Saudi market’s indices are inefficient in the weak form hypotheses.


2007 ◽  
Vol 10 (06) ◽  
pp. 1077-1094 ◽  
Author(s):  
A. SABUR MOLLAH

Market efficiency is an area of enormous interest in financial literature. Numerous researchers conducted empirical studies in testing weak-form market efficiency in several stock markets and employed various techniques but the empirical evidence is controversial. Triangulation econometric approach is employed to assess the predictability of daily return series of Botswana Stock Exchange (BSE) and to test the null hypothesis of random walk model. The empirical results reject the null hypothesis of random walk model for the daily return series of BSE for the period of 1989–2005 and evidenced serial autocorrelation of return series, which clearly indicate predictability and volatility of security prices of Botswana market. However, the empirical evidence of both non-parametric (Kolmogrov–Smirnov: normality test and run test) and parametric test (Auto-correlation test, Auto-regressive model, ARIMA model) reject the hypothesis of random walk model and indeed violate the notion of weak-form market efficiency.


Pravaha ◽  
2020 ◽  
Vol 26 (1) ◽  
pp. 187-198
Author(s):  
Shanker Dhodary

The purpose of this paper is to examine the random walk hypothesis (RWH) by testing the weak-form efficiency in the Nepalese capital market. Descriptive, correlation and causal comparative research design has been used for analyzing the variables and different phenomenon. This research has been prepared only with the help of secondary data. Closing price of company has been collected and analyzed for the period 2015/16-2019/20. Thus researcher tried to analyze the market efficiency with the help of five years data (daily closing price).There are altogether around 233 companies listed in NEPSE. So to make this research feasible and simple researcher has selected only 10 companies from the NEPSE by using purposive sampling technique. In course of selecting company researcher has tried to incorporate only financial sectors as commercial banks, finance companies, insurance, and microfinance companies but development bank has not been taken as sample due to same nature of commercial bank. Researcher examined the weak form efficiency of the Nepal stock exchange (NEPSE) using auto correlation test (parametric test) and run test (non-parametric test) for the period of 2015/16-2019/20. Mainly this research work tested the efficient market hypothesis of Nepalese stock market with the help of daily closing price of 10 Sample Company of different sectors. The market is inefficient in the weak form implies that the NEPSE does not follow a random walk. This means that the NEPSE provides an opportunity for out- performance by skillful managers and investment specialists. Auto correlation exists in price of stock evident that there is high level of dependency of price of stock with the previous ones. It will be easy for speculator and trader to exploit the market and gain handsome profit from the market. All investor are not assumed to be rational in inefficient market, most of the people say investor are investing on the basis of market rumor. Market may be inefficient due the asymmetric of information and insider trading.


2015 ◽  
Vol 11 (1) ◽  
pp. 173 ◽  
Author(s):  
Izz eddien N. Ananzeh

<p>The Efficient Market Hypothesis (EMH) has been a lot of debates in the literature of finance because of its important implication, and there is no clear-cut case regarding the efficiency of the financial markets for both developed and emerging markets. This empirical study conducted to examine EMH at the weak form level of Amman stock Exchange (ASE) by using daily observations for the period span from 2000 to 2013. Recent econometric procedures utilized for testing the randomness of stock prices for ASE. The results of serial correlation reject the existence of random walks in daily returns of the ASE, and the unit root tests also conclude the return series of ASE are stationary and inefficient at the weak-level. Also the runs tests verify that the stock returns series on ASE are not random, and our final conclusion reports that the ASE is inefficient at the weak form level. </p>


The Batuk ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 87-96
Author(s):  
Yub Raj Dhungana

The study examines the predictability of index returns on the Dhaka stock market within the framework of the weak-form efficient market hypothesis using historical daily returns for a period of 1st June, 2014 to 29th May, 2020. The Jarque-Bera statistics test explored the return distribution of Dhaka Stock Exchange is non-normal. The random walk hypothesis (RWH) was tested using autocorrelation test, runs test, unit root tests(Augmented Dickey-Fuller (ADF) and, Phillip-Perron (PP) test) and variance ratio test. The results explored that all tests rejected the random walk hypothesis required by the weak-form efficient market hypothesis. This provides empirical basis to infer that the DSE is inefficient at weak-form and stock return can be predicted. The rejection of the RWH on a daily basis is possibly an indication that the weak-form inefficient characteristic of the DSE is not sensitive to return frequency.


2014 ◽  
Vol 13 (6) ◽  
pp. 1241 ◽  
Author(s):  
Tafadzwa T. Chitenderu ◽  
Andrew Maredza ◽  
Kin Sibanda

In this paper, we test the Johannesburg Stock Exchange market for the existence of the random walk hypothesis using monthly time series of the All Share Index (ALSI) covering the period 2000 2011. Traditional methods, such as unit root tests and autocorrelation test, were employed first and they all confirmed that during the period under consideration, the JSE price index followed the random walk process. In addition, the ARIMA model was constructed and it was found that the ARIMA (1, 1, 1) was the model that most excellently fitted the data in question. Furthermore, residual tests were performed to determine whether the residuals of the estimated equation followed a random walk process in the series. The authors found that the ALSI resembles a series that follow random walk hypothesis with strong evidence of a wide variance between forecasted and actual values, indicating little or no forecasting strength in the series. To further validate the findings in this research, the variance ratio test was conducted under heteroscedasticity and resulted in non-rejection of the random walk hypothesis. It was concluded that since the returns follow the random walk hypothesis, it can be said that JSE, in terms of efficiency, is on the weak form level and therefore opportunities of making excess returns based on out-performing the market is ruled out and is merely a game of chance.


2018 ◽  
Vol 53 (4) ◽  
pp. 225-238
Author(s):  
Subrata Roy

The study seeks to examine the Random Walk Hypothesis (RWH) and market efficiency of the selected stock market indices particularly London Stock Exchange, EuroStoxx 50, Nihon Keizai Shimbum (NIKKI), Shanghai Composite Stock Exchange and Bombay Stock Exchange. Daily closing index value is considered and transformed into logarithm return. Various tests like serial independence test, unit root test and multiple variance tests are applied. It is observed that the null hypotheses (presence of random walks) of the daily returns of the indices are rejected and in few cases are accepted based on various test statistics. JEL Classification: G00, G01, G02


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