scholarly journals A Research on Volatility in the Indian Stock Market with Special Reference to Nifty and Selected Companies Offinancial Service Sector of NSE of

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.

1993 ◽  
Vol 18 (2) ◽  
pp. 25-30
Author(s):  
M Ranganatham ◽  
V Subramanian

Spectral analysis is a powerful tool in detecting hidden patterns and cycles in a time series. This paper by Ranganatham and Subramanian is an attempt to test empirically the weak form of Efficient Markets Hypothesis (EMH) using the frequency domain approach of spectral analysis. The results of the analysis show that there are some periodic cycles in the price movements which run counter to the assertion of weak form of EMH. For a better understanding of the structure of price movements in the Indian stock market, this study calls for the use of this technique on a larger sample of individual share price series.


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.


GIS Business ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 109-126
Author(s):  
Nitin Tanted ◽  
Prashant Mistry

One of the highly controversial issues in the area of finance is “Efficient Market Hypothesis”. Efficient Market Hypothesis states that, “In an efficient market, all available price information is reflected in the stock prices and it is not possible to generate abnormal returns compared to other investors.” A lot of studies conducted previouslyto test the Efficient Market Hypothesis, confirmed the theory until recent years, when some academicians found it to be non-applicable in financial markets. According to them, it is possible to forecast the stock price movements using Technical Analysis. The results of various studies have been inconclusive and indefinite about the issue. This study attempted to test the efficiency of FMCG Sector stocks in India in its weak form. For the study, closing prices of top 10 stocks from Nifty FMCG index has been taken for the 5-year period ranging from 1st October 2014 to 30th September 2019. Wald-Wolfowitz Run test has been used to test the haphazard movements in the stock price movements. The results indicated that FMCG sector stocks does support the Efficient Market Hypothesis and exhibit efficiency in its weak form. Hence, it is not possible to accurately predict the price movements of these stocks.


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.


2019 ◽  
Vol 8 (3) ◽  
pp. 2033-2038

This research paper, using monthly returns of macroeconomic variables, Nifty, and stock price from 3 sectors, examines the impact of macroeconomic determinants on Nifty and banking sector stocks from May 2009 to July 2018. The paper also analyses the granger cause between macroeconomic variables and Nifty; macroeconomic variables and Indian banking sector stocks. This paper also extends the research work in finding out the impact before and during Narendra Modi government. Johansen’s co-integration and granger causality tests were applied for this research work. The results of Johansen’s co-integration proved that there is a long relation between selected macroeconomic factors, i.e. bank rate, repo rate, and reverse repo rate, and Indian stock market and also on banking sector share price. There is granger cause before Modi Government and during Modi Government. It is concluded that, a positive significant relationship exists between macroeconomic determinants and Indian stock market.


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