scholarly journals Is Pakistan Stock Market Moving Towards Weak-Form Efficiency? Evidence from the Karachi Stock Exchange and the Random Walk Nature of Free-Float of Shares of KSE 30 Index.

2013 ◽  
Author(s):  
Ushna Akber ◽  
Nabeel Muhammad
Keyword(s):  
Random Walk ◽  
Stock Market ◽  
Stock Exchange ◽  
Weak Form ◽  
Weak Form Efficiency

scholarly journals Random Walk Investigation in Indian Market with special reference to S&P Nifty – Fifty Stocks

2015 ◽  
Vol 4 (4) ◽  
pp. 52-61
Author(s):  
Tamilselvan Manickam ◽  
R Madhumitha
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Empirical Support ◽  
Weak Form ◽  
Indian Market ◽  
Price Series ◽  
Stock Market Efficiency ◽  
Indian Stock Market ◽  
Weak Form Efficiency

The competence of a financial system is entirely depending upon the stock market efficiency. The gradual growth of equity investor’s participation is inevitable to enrich the overall growth of emerging economies.Hence the necessity is felt to provide an empirical support to the investing community. For the purpose, this study attempts to examine the weak-form efficiency of Indian stock market – National Stock Exchange (NSE). The study has used the daily closing price of the Nifty fifty stocks from 3rdJanuary 2011 to 24thApril 2015. To test the weak form efficiency both parametric and non-parametric tests called Autocorrelation, Augmented Dicky Fuller test, and Runs Test were performed.  The study reveals that 39 stocks of NSE-Nifty Fifty are found to be weak form inefficient, so that the investors can formulate trading strategies to gain abnormal returns. The Index and 10 stocks are found to be weak form efficient during the study period since the price series found to be autocorrelation existence.

scholarly journals Efficient Market Hypotheses of Nepalese Stock Market

Pravaha ◽  
2020 ◽  
Vol 26 (1) ◽  
pp. 187-198
Author(s):  
Shanker Dhodary
Keyword(s):  
Random Walk ◽  
Stock Market ◽  
Insider Trading ◽  
Research Work ◽  
Weak Form ◽  
Efficient Market ◽  
Parametric Test ◽  
Auto Correlation ◽  
Closing Price ◽  
Weak Form Efficiency

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.

scholarly journals Weak form market efficiency test of Bangladesh Stock Exchange: an empirical evidence from Dhaka Stock Exchange and Chittagong Stock Exchange

2019 ◽  
Vol 21 (3) ◽  
pp. 285
Author(s):  
Shafir Zaman
Keyword(s):  
Stock Market ◽  
Market Efficiency ◽  
Empirical Evidence ◽  
Stock Markets ◽  
Stock Exchange ◽  
Investment Decision ◽  
Weak Form ◽  
Efficiency Test ◽  
Non Parametric ◽  
Weak Form Efficiency

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.

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 Weak Form Efficiency of Pakistan Stock Market using Non-Parametric Approaches

2011 ◽  
Vol 2 (6) ◽  
pp. 249-257
Author(s):  
Muhammad Irfan ◽  
Maria Irfan .
Keyword(s):  
Stock Market ◽  
Unit Root ◽  
Stock Exchange ◽  
Unit Root Test ◽  
Weak Form ◽  
Lilliefors Test ◽  
Anderson Darling ◽  
Non Parametric ◽  
Weak Form Efficiency

This paper studies the performance of Karachi Stock Exchange (KSE) of Pakistan via nonparametric approaches. The study includes the weekly open and closing prices of KSE- 100 indexes for the period of 1st January 1999 to 31st August 2009. Several non-parametric approaches including KolmogorovSmirnov test (Lilliefors test), Ryan-Joiner test (Shapiro-Wilk), Anderson-Darling test, Phillips Perron (PP) unit root test and Runs test are used to test the conviction of the KSE stock market. All non-parametric tests graphically and numerically inform us that both return series do not follow the assumption of normality and randomness, which means rejecting the hypothesis of weak form of efficiency. Generally, results from the observed analysis strongly recommend that the Karachi Stock Market of Pakistan is not efficient.

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.

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.

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