scholarly journals Predictability of Stock Returns on the Dhaka Stock Exchange

The Batuk ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 87-96
Author(s):  
Yub Raj Dhungana
Keyword(s):  
Random Walk ◽  
Stock Returns ◽  
Stock Exchange ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Daily Basis ◽  
Ratio Test ◽  
Efficient Market ◽  
Random Walk Hypothesis ◽  
Augmented Dickey Fuller

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.

scholarly journals Testing Weak Form of Market Efficiency of DSE Based on Random Walk Hypothesis Model: A Parametric Test Approach

2019 ◽  
Vol 9 (1) ◽  
pp. 400
Author(s):  
Ahmed Raihan Sadat ◽  
Md. Emran Hasan
Keyword(s):  
Random Walk ◽  
Market Efficiency ◽  
Stock Exchange ◽  
Weak Form ◽  
Data Series ◽  
Ratio Test ◽  
Random Walk Hypothesis ◽  
Hypothesis Model ◽  
Augmented Dickey Fuller ◽  
Tests For Normality

Stock market is one great indicator of any country’s economic condition. Hence, measuring the capital market in different forms has always been a great interest to finance researchers. This paper measures the market efficiency and randomness of Dhaka stock Exchange (DSE) in weak form employing daily observations (return) from two comparatively new ventured indices viz. DS30 and DSEX. Initially, the study tests for normality using Jarque-Bera test of normality and found data series are not normally distributed. Later, some widely used parametric tests were conducted to examine the historic price dependencies or to examine the random walk hypothesis (RWH) of DSE indices. Augmented Dickey-Fuller test (ADF), Autocorrelation function (ACF), and variance ratio test (Lo & MacKinlay) were used and all of the results suggested DSE to be not efficient in weak form. Meaning, prices of DSE do not follow a random walk.

ON THE VALIDITY OF THE RANDOM WALK HYPOTHESIS APPLIED TO THE DHAKA STOCK EXCHANGE

2004 ◽  
Vol 07 (08) ◽  
pp. 1069-1085 ◽  
Author(s):  
MOHAMMAD S. HASAN
Keyword(s):  
Random Walk ◽  
Stock Returns ◽  
Null Hypothesis ◽  
Stock Exchange ◽  
Statistical Tests ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Testing Procedures ◽  
Random Walk Hypothesis ◽  
Bds Test

This paper employs a battery of statistical tests to examine the random walk variant of the weak-form efficient market hypothesis (EMH) using the daily data of the Dhaka Stock Exchange, the major equity market of Bangladesh, over a period of January 1990 to December 2000. The test results, however, are at variance across testing procedures and sub-periods. Results based on the random walk model and unit root tests show that the null hypothesis of randomness cannot be rejected and stock prices have a significant random walk or permanent component. Our analysis of autocorrelation functions indicates mean-reversion behavior of stock returns in most cases albeit with stock returns exhibiting some memory and predictable components during the bubble and post-speculation periods. The evaluation of the EGARCH-M model suggests significant asymmetric and leverage effects during the sub-period of speculative bubbles of 1996–1997. The BDS test indicates evidence of nonlinear long-term dependence during the pre-speculation period, while during the speculation and post-speculation periods the null hypothesis of nonlinear independence was not rejected. Overall, based on this evidence we do not categorically claim that the Dhaka Stock Exchange is weak-form efficient. However, these findings underscore the predictive significance and relevance of the random walk hypothesis as a generalized theory in explaining movements of share prices.

scholarly journals Random Walk Hypothesis for Stock Prices in Fiji

2021 ◽  
Vol 13 (2) ◽  
pp. 79-88
Author(s):  
Janesh Sami
Keyword(s):  
Random Walk ◽  
Stock Market ◽  
Unit Root ◽  
Stock Prices ◽  
Structural Break ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Random Walk Hypothesis ◽  
Augmented Dickey Fuller ◽  
Historical Movement

The main goal of this paper is to investigate the random walk hypothesis in Fiji using monthly data from January 2000 to October 2017. Applying augmented Dickey Fuller (ADF 1979, 1981) and Phillips-Perron (1988), Zivot-Andrews (1992), and Narayan and Popp (2010) unit root tests, this study finds that stock prices is best characterized as non-stationary. The estimated multiple structural break dates in the stock prices corresponds with devaluation of Fijian dollar by 20 percent in 2009 and General Elections in September 2014, which Fiji First Party won by majority votes. The empirical results indicate that stock prices are best characterized as a unit root (random walk) process, indicating that the weak-form efficient market hypothesis holds in Fiji’s stock market. Hence, it will be difficult to predict future returns based on historical movement of stock prices in Fiji’s stock market.

scholarly journals Testing Weak-Form Market Efficiency of Dhaka Stock Exchange

2015 ◽  
Vol 4 (2) ◽  
pp. 79-90
Author(s):  
Md.‬ Abu Hasan‬‬‬‬‬‬‬‬
Keyword(s):  
Random Walk ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Exchange ◽  
Weak Form ◽  
Jel Classification ◽  
Ratio Test ◽  
Daily Return ◽  
Classification Code ◽  
Augmented Dickey Fuller

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

Testing Random Walk Hypothesis in Turkish Foreign Exchange Market

2015 ◽  
pp. 51-63
Author(s):  
Levent Çıtak ◽  
Veli Akel ◽  
Murat Çetin
Keyword(s):  
Exchange Rate ◽  
Random Walk ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Ratio Test ◽  
Exchange Market ◽  
Developed Economies ◽  
Random Walk Hypothesis

This chapter revisits the empirical validity of the weak-form efficient market hypothesis for Turkish foreign exchange markets. The random-walk hypothesis in foreign-exchange rates market is one of the most researched areas, particularly in developed economies. This chapter applies ADF and PP unit root test, Lo and MacKinlay's (1988) conventional variance ratio test and Ljung-Box Q tests to examine the validity of the random-walk hypothesis in the Turkish foreign-exchange market. The chapter utilizes weekly nominal TRY/USD exchange rate for data from January 2000 to December 2013. The results provide evidence rejecting the random walk hypothesis for weekly nominal exchange rate series.

scholarly journals The Random Walk Theory And Stock Prices: Evidence From Johannesburg Stock Exchange

2014 ◽  
Vol 13 (6) ◽  
pp. 1241 ◽  
Author(s):  
Tafadzwa T. Chitenderu ◽  
Andrew Maredza ◽  
Kin Sibanda
Keyword(s):  
Random Walk ◽  
Stock Prices ◽  
Stock Exchange ◽  
Arima Model ◽  
Weak Form ◽  
Ratio Test ◽  
Random Walk Process ◽  
Random Walk Hypothesis ◽  
Johannesburg Stock Exchange ◽  
Random Walk Theory

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.

scholarly journals Testing efficient market hypothesis in developing Eastern European countries

2018 ◽  
Vol 15 (2) ◽  
pp. 281-291 ◽  
Author(s):  
Saša Tokić ◽  
Berislav Bolfek ◽  
Anita Radman Peša
Keyword(s):  
Portfolio Management ◽  
Statistical Tests ◽  
Unit Root Test ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
January Effect ◽  
Ratio Test ◽  
Efficient Market ◽  
Augmented Dickey Fuller ◽  
Eastern European Countries

This paper analyzes financial markets in four developing countries (Croatia, Serbia, Slovenia, Slovakia) using daily returns of their respective stock market indices from January 1, 2006 till December 31, 2016, timeframe which was rarely analyzed. Analysis was conducted by various statistical tests, more precisely serial correlation test, runs test, Augmented Dickey-Fuller test, unit root test, variance ratio test and test of January effect. Results suggest that all analyzed indices, except BelexLine (Serbia), confirm weak form of efficient market hypothesis, while the results on the index BelexLine are mixed and it can be concluded that it does not follow weak form of efficient market hypothesis. Given these results, it can be said that not only passive approach to portfolio management is more appropriate on all indices, except BelexLine, but also additional test and more complex models are necessary in order to confirm this conclusion.

scholarly journals Testing for Weak-Form Market Efficiency in the Botswana Stock Market

2019 ◽  
Vol 7 (9) ◽  
pp. 134-140
Author(s):  
Mphoeng Mphoeng
Keyword(s):  
Random Walk ◽  
Stock Market ◽  
Market Efficiency ◽  
Stock Exchange ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Random Walk Process ◽  
Efficient Market ◽  
Foreign Companies ◽  
Domestic Companies

The theory of the Efficient Market Hypothesis (EMH) has been debated extensively. In this study the runs test was employed on the Botswana Stock Exchange daily Domestic Companies and Foreign Companies indices to test whether the Botswana stock market follows the random walk process and subsequently determine weak-form market efficiency. The results of the runs test showed that the indices do not follow the random walk process. As a result the Botswana stock market is determined to be weak-form market inefficient and rejects the efficient market hypothesis accordingly.

Testing Random Walk Hypothesis in Turkish Foreign Exchange Market

2016 ◽  
pp. 969-982
Author(s):  
Levent Çıtak ◽  
Veli Akel ◽  
Murat Çetin
Keyword(s):  
Exchange Rate ◽  
Random Walk ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Ratio Test ◽  
Exchange Market ◽  
Developed Economies ◽  
Random Walk Hypothesis

This chapter revisits the empirical validity of the weak-form efficient market hypothesis for Turkish foreign exchange markets. The random-walk hypothesis in foreign-exchange rates market is one of the most researched areas, particularly in developed economies. This chapter applies ADF and PP unit root test, Lo and MacKinlay's (1988) conventional variance ratio test and Ljung-Box Q tests to examine the validity of the random-walk hypothesis in the Turkish foreign-exchange market. The chapter utilizes weekly nominal TRY/USD exchange rate for data from January 2000 to December 2013. The results provide evidence rejecting the random walk hypothesis for weekly nominal exchange rate series.

scholarly journals Do extreme market value ratios mean that the market is informationally inefficient? A study of the Warsaw Stock Exchange

2021 ◽  
Vol 43 ◽  
pp. 206-224
Author(s):  
Jacek Karasiński ◽  
◽  
Patryk Zduńczak ◽  
◽  
◽  
...  
Keyword(s):  
Random Walk ◽  
Market Efficiency ◽  
Stock Returns ◽  
Stock Exchange ◽  
Market Value ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Common Belief ◽  
Market Inefficiency ◽  
Warsaw Stock Exchange

Aim/purpose–The aim of this paper is to verify whether extremely high values of mar-ket value ratios are the symptoms of informational inefficiency of the market in a weak form. The authors intend to examine whether these phenomena co-occur with each other.Design/methodology/approach–Following Bachelier’s strict random walk model, we quantified a weak-form informational market efficiency with the use of the percentage of normality tests in stock returns run (Expanded Shapiro–Wilk, D’Agostino-Pearson and Jarque–Bera), which indicate that the analyzed distribution is normal (a null hypothesis cannot be rejected). The empirical study was based on the comparison of the market value ratios (P/E and P/BV) and the informational efficiency measure at the level of particular companies, listed on the Main Market and NewConnect of the Warsaw Stock Exchange, and grouped into eight sectors. In order to do this, we analyzed scatterplots, descriptive statistics, Pearson’s and Spearman’s rank correlation coefficients. The da-taset covered 214 companies (based on the assumptions made) in the period from 2016, December 31 to 2020, March 23.Findings–Results obtained indicated that, in most cases, the extremely high values of market value ratios did not co-occur with market inefficiency. Hence, the outstandingly high market value ratios do not have to be the symptoms of market inefficiency. Research implications/limitations–Following a common belief shared in the industry, but still not examined yet, this study examines the possible co-occurrence of extremely high market valuation and market inefficiency, but does not exploit it fully. The authors encourage other researchers, especially, to apply other market value ratios and to come up with their own ideas for market efficiency proxies. What is more, this study has been conducted on a relatively small market, thus the conclusions drawn from the study on the WSE should be tested on other, more developed markets.Originality/value/contribution–According to the authors’ knowledge, this study is one of the first trying to examine if the extremely high market value ratios are the symp-toms of the informational inefficiency of the market.Keywords: efficient market hypothesis, weak-form efficiency, market value ratios, stock markets, random walk. JEL Classification:G10, G12, G14.

Sign in / Sign up

Export Citation Format

Share Document