scholarly journals Is the Configuration of Indian Stock Market Weakly Efficient?

2021 ◽  
Vol 9 (3) ◽  
pp. 1-6
Author(s):  
Aditya Prasad Sahoo

The main aim of this study is to find out the whether the Indian stock market efficiency is in weak form. The aim of this study is to look into the Indian Stock Market’s lack of market performance. From 2000 to 2015, sample is gathered on a daily, weekly, and monthly basis. Unit Root Test, Run Test, and KS Test are used to examine the data. According to the findings, The Runs Test disproves the existence of a random walk and demonstrates that the Indian stock market is not weakly efficient. Through stock valuation strategies, technical and fundamental analysts may generate volatile returns.

2015 ◽  
Vol 4 (4) ◽  
pp. 52-61
Author(s):  
Tamilselvan Manickam ◽  
R Madhumitha

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.


2011 ◽  
Vol 2 (6) ◽  
pp. 249-257
Author(s):  
Muhammad Irfan ◽  
Maria Irfan .

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.


2016 ◽  
Vol 11 (3) ◽  
pp. 75-86 ◽  
Author(s):  
Josephine Njuguna

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


2021 ◽  
Vol 18 (1) ◽  
pp. 250-259
Author(s):  
Izzeddien N. Ananzeh

The market efficiency hypothesis has become an important concept for all investors looking to own internationally diversified portfolios, which coincides with an increase in investment flows between all countries, both developed and undeveloped. This study was aimed at investigating the efficiency of a group of Arab stock markets located in the Middle East and North Africa (MENA) region according to the Random Walk Hypotheses (RWH) at weak form. The study covered the markets of Jordan, Egypt, Saudi Arabia, UAE, Bahrain, and Oman.The empirical results of all tests used in this study rejected the RWH at a weak form for all markets through all tests applied – Unit root test, Variance Ratio Test, and Run Test. The result of this study contradicts the results of many studies conducted on developed and emerging markets. This can be a good indication of the ineffectiveness of the reforms that have been adopted by responsible bodies on these markets.Based on this result, all efforts made to expand and deepen these markets should be intensified by improving liquidity, transparency, enhancing investment culture in these countries; supporting legislative and regulatory reforms to attract investment, and developing the financial sector in these markets as a whole. AcknowledgmentThis paper is supported by the Deanship of Scientific Research and Graduate Studies at Philadelphia University in Jordan.


In recent years the increasing importance of the future market in the Indian markets has received considerable attention from researchers,academicians and financial analysis.the present study is undertaken with an attempt to determine the share price movements and its volatility of the selected ten companies of financial service sector,which is in nifty fifty companies list.The period of the study selected between January 2009 and December 2017.for examining the share price movements and its volatility,the researcher took descriptive statistics and for finding the volatility ,kolmogorovsmirnovtest,from the results,among the selected ten financial service companies are not homogenous during the study period, and also examine the run test in Indian stock market is weak form efficient, the non-random behavior of the market has only short termimplications.Finally should take necessary steps to maintain its financial health and increase the market share in India.


2013 ◽  
Vol 1 (4) ◽  
pp. 463-469
Author(s):  
Shunmuga Rajan N ◽  
Rajasekar N

Volatility has been one of the most active and successful areas of research in time series econometrics and economic forecasting in recent decades. Volatility is a statistical measure of the dispersion of returns for a given security or market Index. The main objective of the study is to analyze the volatility of Indian stock market. We have taken five oil sector companies from BSE for this study. The sample companies are Bharath Petroleum, Hindustan Petroleum, Indian Oil, ONGC and Reliance Industries. The Study was conducted from January 2007 to December 2012 and we employed Descriptive Model and Unit Root Test and GARCH Model for making the research more effective and we found that there is high volatility during the study period.


2021 ◽  
pp. 227868212110476
Author(s):  
Animesh Bhattacharjee ◽  
Joy Das

The present study investigates the effect of changes in money supply on both Indian stock market sensitive index and stock market overall capitalization by employing unit root test with break point, Johansen’s cointegration test, vector error correction (VEC) model, VEC Granger causality test, variance decomposition, and impulse response function. The result of the unit root test reveals that all the variables are nonstationary in levels but become stationary at the first-order difference. The unit root test further reveals that there are structural breaks in the mid-1990s or 2000s. The Johansen’s cointegration test reveals that the Indian stock market index and stock market capitalization are individually cointegrated with money supply. Further, the long-run co-movement between the Indian stock market and money supply and stock market capitalization and money supply is found to be positive. The results of the VEC model shows that the error correction term in the lnSENSEX–lnMS model is negative and statistically significant, while the error correction term in the lnMARCAP–lnMS model is found to be insignificant. The VEC Granger causality test shows that there is no short-run causal relationship between the variables. The variance decomposition indicates that both Indian stock market index and stock market capitalization are strongly exogenous. The impulse response function suggests that money supply has an immediate positive effect on both Indian stock market index and stock market capitalization. The investors and fund managers should take investment decisions keeping in view the positive co-movement of Indian stock market performance and broad money supply. The study recommends that the government should avoid aggressive tightening of money supply.


2018 ◽  
Vol 14 (3) ◽  
pp. 362-376 ◽  
Author(s):  
Emmanuel Joel Aikins Abakah ◽  
Paul Alagidede ◽  
Lord Mensah ◽  
Kwaku Ohene-Asare

Purpose The purpose of this paper is to re-examine the weak form efficiency of five African stock markets (South Africa, Nigeria, Egypt, Ghana and Mauritius) using various tests to assess the impact of non-linearity effect and thin trading which are prevalent in African markets on market efficiency. Design/methodology/approach The weekly returns of S&P/IFC return indices for five African countries over the period 2000-2013 were obtained from DataStream and analyzed. The study adopted the newly developed Non-Linear Fourier unit root test advanced by Enders and Lee (2004, 2009) which allows for an unknown number of structural breaks with unknown functional forms and non-linearity in data generating process of stock prices series to test the Random Walk Hypothesis (RWH) for the five markets, and an augment regression model. Findings In light of the empirical evidence the author(s) using Non-linear Fourier Unit Root Test only fail to reject the RWH for South Africa, Nigeria and Egypt leading to the conclusion that these markets follow the RWH and weak-form efficient whilst Ghana and Mauritius are weak-form inefficient. Besides, evaluating non-linear models without adjusting for thin trading effect shows that, South Africa and Ghana markets are weak-form efficient while Nigeria, Egypt and Mauritius are not. However, after accounting for thin trading effect, the author(s) find that South Africa and Egypt markets follow the RWH. The findings imply that market efficiency results depend on the methodology used. Originality/value This paper provides further evidence on stock market efficiency in emerging markets. The finding suggests that thin trading and non-linearity effect influences markets efficiency tests in African stock markets. Thus, recent structural adjustment and liberalization policies have not enhanced stock market operations in Africa. This paper therefore has implications for policy makers and international investors.


Author(s):  
P. Bangur ◽  
M. Kumar Singh ◽  
P. Kumar Singh ◽  
R. Bangur

This study aims to measure the volatility behavior and movement property of the Nifty Index through the strap option strategies by using the trigonometric ratio of options (tan [Formula: see text]). These strategies have been analyzed on the data from 2007 to 2020 on a monthly basis. Long and short strap strategies have been used in this analysis. In both strap option strategies, the angle [Formula: see text] lies more in the bearish volatility quadrant and the range-bound movement quadrant, which indicates that any trader on the Nifty can consistently apply the short strap option for profit generation trading in Nifty.


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