Testing Random Walk and Market Efficiency: A Cross-Stock Market Analysis

2018 ◽  
Vol 53 (4) ◽  
pp. 225-238
Author(s):  
Subrata Roy
Keyword(s):  
Random Walk ◽  
Stock Market ◽  
Market Efficiency ◽  
Stock Exchange ◽  
Unit Root Test ◽  
Jel Classification ◽  
Test Statistics ◽  
Random Walk Hypothesis ◽  
Index Value ◽  
Daily Returns

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

A Random walk down the Dhaka Stock Exchange lane

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Md. Kamrul Bari ◽  
Dr. Melita Mehjabeen ◽  
Dr. A. K. Enamul Haque
Keyword(s):  
Random Walk ◽  
Stock Market ◽  
Market Efficiency ◽  
Long Memory ◽  
Stock Exchange ◽  
Reliable Estimate ◽  
Memory Process ◽  
Long Memory Process ◽  
Study Results ◽  
Adf Test

Market efficiency has always been a matter of keen interest to the researchers of finance. Since the advancement of this concept, researchers are consistently investigating the market efficiency of different financial markets. Bangladesh, being one of the emerging economies, has also attracted the attention of many researchers. The researchers have investigated the realities regarding the market efficiency of both the stock exchanges of the country. Most of their investigations reveal that the Dhaka Stock Exchange (DSE) and the Chittagong Stock Exchange (CSE) are inefficient. This research, however, did not stop at revisiting market efficiency alone. Whether the return series follows a long-memory process, has also been tested. Besides, non-parametric tests have also been conducted to confirm the results of the parametric tests and vice versa. It generated a more reliable estimate of market efficiency for the period under study. Results of the Autoregressive Fractionally Integrated Moving Average (ARFIMA) model confirm that the return series does not follow a long memory process, and any shock in the system will eventually vanish. The findings of other tests (the run test, the Augmented Dickey-Fuller (ADF) test, the Kwiatkowski–Phillips–Schmidt–Shin (KPSS) test, and the Kolmogorov-Smirnov (K-S) test) suggest that the return series of the DSE are time-series stationary, non-normal, and do not follow a random walk. Given these results, we must echo the prior researchers to conclude that the stock market of Bangladesh is not efficient for the period of 2015 to 2020. These findings add new knowledge to the existing knowledge pool about market efficiency and long memory of the stock market of Bangladesh.

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

scholarly journals Behaviour of Stock Returns in the KLSE: A Test of the Random Walk Hypothesis

2020 ◽  
Author(s):  
Ahmadu Umaru Sanda ◽  
Abdul Ghani Shafie ◽  
G.S Gupta
Keyword(s):  
Random Walk ◽  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Technical Analysis ◽  
Kuala Lumpur ◽  
Random Walk Hypothesis ◽  
Serial Correlations ◽  
Random Walk Theory

A sample of 224 companies listed in the Kuala Lumpur Stock Exchange was taken for the period 1991-96. The serial correlations tests of varying lags and the runs tests were employed to test for the random walk theory. The bulk of the results tilts towards the rejection of non-randomness, lending weight to the argument that the stock market has no memory, and casting doubt upon the usefulness of technical analysis.  

scholarly journals The market efficiency of the Tanzania stock market

2016 ◽  
Vol 11 (3) ◽  
pp. 75-86 ◽  
Author(s):  
Josephine Njuguna
Keyword(s):  
Stock Market ◽  
Market Efficiency ◽  
Unit Root ◽  
Stock Exchange ◽  
Unit Root Test ◽  
Weak Form ◽  
Ratio Test ◽  
Variance Ratio ◽  
Test Unit ◽  
Variance Ratio Test

The purpose of this article is to examine the efficiency of the Tanzania stock market. The study attempts to answer whether the Tanzania stock market is weak-form efficient. The study applies a battery of tests: the serial correlation test, unit root tests, runs test and the variance ratio test using daily and weekly data with a sample spanning from November 2006 to August 2015 for the Dar es Salaam Stock Exchange (DSE) all share index and from January 2009 to August 2015 for the DSE share index. Overall, the results of the market efficiency are mixed. The serial correlation test, unit root test and the runs test do not support weak-form efficiency, while the more robust variance ratio test supports weak-form efficiency for the DSE. The main contribution of the study is that the market efficiency of the Tanzania stock market has increased over the sample period. Keywords: adaptive market hypothesis, efficiency market hypothesis, serial correlations test, unit root test, runs test, variance ratio test, Dar es Salaam Stock Exchange. JEL Classification: G14, G15

scholarly journals Stock Market Anomaly: Day of the Week Effect in Bombay Stock Exchange with the Application of GARCH Model

2020 ◽  
Vol 9 (5) ◽  
pp. 2244-2249
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Markets ◽  
Stock Exchange ◽  
Garch Model ◽  
Effect Analysis ◽  
Day Of The Week ◽  
Index Value ◽  
The Garch Model ◽  
Daily Returns

It has observed from many stock markets around the world that index value used to vary due to fluctuation in stock prices. One of the most important factors of variation in the stock prices is the day of the week effect, which indicates calendar irregularities in stock markets. Investment in the stock market is the most uncertain; therefore investors get worried regarding the appropriate day to trade in the financial market. The main objective of the present study is to find out the appropriate day of the week effect of developing the stock market of an emergent nation like India from 1st January 2000 to 31st December 2018. For fulfilling the objectives of the study, the daily closing value of four major indices of the Bombay Stock Exchange has been taken into consideration. To test the equality between average returns to different days and to examine the distribution pattern of daily returns series that measure the day of the week analysis, the parametric tools alike Mean and Standard deviation have employed. Apart from the parametric test, t-test has also applied to the daily returns in order to test the hypothesis. In this study, descriptive statistics and the GARCH model has also used with the purpose of measuring the day of the week effect analysis. Conferring to the results, the coefficients express that the return among different days of the week are statistically significant

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.

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.

scholarly journals Teste da Hipótese de Mercados Adaptativos para o Brasil

2014 ◽  
Vol 12 (4) ◽  
pp. 517
Author(s):  
Glener De Almeida Dourado ◽  
Benjamin Miranda Tabak
Keyword(s):  
Random Walk ◽  
Market Efficiency ◽  
Stock Exchange ◽  
Variance Ratio ◽  
Nonlinear Case ◽  
Fixed Size ◽  
Random Walk Hypothesis ◽  
Linear Dependency ◽  
Daily Data ◽  
Stock Market Efficiency

The goal of this paper is to evaluate Brazilian stock market efficiency using daily data for the Sao Paulo Stock Exchange Index from January 1995 to December 2012. We employ a variance ratio statistic with wild bootstrap, developed to test linear dependency, to test for the Random Walk Hypothesis. We also use the generalized spectral test for the nonlinear case. We employ moving subsamples with fixed size, checking the existence of random walk behavior. We test whether market efficiency depends on market conditions (Adaptative Markets Hypothesis - AMH). We cannot reject both the RWH and AMH.

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