scholarly journals A Research on the Stock Market Volatility of BSE and NSE in Indian Economy

2019 ◽  
Vol 8 (2) ◽  
pp. 5217-5220
Keyword(s):  
Stock Market ◽  
World Economy ◽  
Stock Exchange ◽  
Global Markets ◽  
Stock Market Volatility ◽  
Indian Market ◽  
Indian Economy ◽  
The World ◽  
Economic Survey ◽  
Global Exchange

In this paper, the Indian economy is energetically seemed, by all accounts, to be global markets post movement in the mid 90s. India is having economic movement over the most recent couple of years and as essentials be there gigantic hold are spouting into Indian market from over the world. By a long shot a gigantic piece of these outside assets are enormous giganticness players and their improvement in the market results in colossal frailty in stock markets. Indian economy is normally considered by inside use, yet after movement the shar Indian exchange as an essential piece of global exchange is expanding at a rich pace. India's economy has ended up being over USD 1 trillion and sorted out as the eleventh most crucial economy on earth. Unending Indian affiliations are getting related with passing on their things to global markets, raising assets by posting on remote stock exchange ( London Stock exchange, NYSE and NASDAQ and so forward). In that limit, share regard updates of these affiliations will no vulnerability on the planet be influenced by the improvement in world economy. Starting now and into the not very hard to achieve this examination was endeavored to explore the Stock Market slightness of BSE and NSE in Indian economy as shown by the examination of Economic survey for the time of (2015 - 2018).

Economic Impact of COVID-19 Pandemic: Who are the Big Sufferers?

2020 ◽  
pp. 320-326
Keyword(s):  
Informal Economy ◽  
World Economy ◽  
Mitigation Measures ◽  
Economic Activities ◽  
Informal Workers ◽  
Indian Economy ◽  
The World ◽  
Daily Wage ◽  
Liberalisation Policy ◽  
The International Monetary Fund

The COVID-19 pandemic identified in Wuhan, China in December 2019, has spread almost to all the countries of the world. The mitigation measures imposed by most of the nations to prevent the spread of COVID-19 have badly hit the global economic activities. As per the latest estimates, the world economy is predicted to decline by 5.2 percent, and world trade is expected to drop by 13-32 percent in 2020 due to the COVID-19 pandemic. In this way it has created havoc in the world economy and the Indian economy is no exception. The International Monetary Fund (IMF) has estimated the Indian GDP growth at 1.9 percent and showed the worst growth performance of India after the liberalisation policy of 1991. According to the World Bank, the Indian economy will contract by 3.2 percent in 2020-21. Daily wage labourers and other informal workers, particularly migrant labourers of economically poor states were the worst hit during the lockdown period and will continue to be adversely affected even after the lockdown was relaxed. The paper suggested multiple measures to support the Indian economic and financial support to all the families of the informal economy workers to tide over this crisis.

scholarly journals Information-Theoretic Measures and Modeling Stock Market Volatility: A Comparative Approach

Risks ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 89
Author(s):  
Muhammad Sheraz ◽  
Imran Nasir
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Approximate Entropy ◽  
Market Volatility ◽  
Comparative Approach ◽  
Stock Market Volatility ◽  
Information Theoretic ◽  
Information Theoretic Measures ◽  
Garch Modeling

The volatility analysis of stock returns data is paramount in financial studies. We investigate the dynamics of volatility and randomness of the Pakistan Stock Exchange (PSX-100) and obtain insights into the behavior of investors during and before the coronavirus disease (COVID-19 pandemic). The paper aims to present the volatility estimations and quantification of the randomness of PSX-100. The methodology includes two approaches: (i) the implementation of EGARCH, GJR-GARCH, and TGARCH models to estimate the volatilities; and (ii) analysis of randomness in volatilities series, return series, and PSX-100 closing prices for pre-pandemic and pandemic period by using Shannon’s, Tsallis, approximate and sample entropies. Volatility modeling suggests the existence of the leverage effect in both the underlying periods of study. The results obtained using GARCH modeling reveal that the stock market volatility has increased during the pandemic period. However, information-theoretic results based on Shannon and Tsallis entropies do not suggest notable variation in the estimated volatilities series and closing prices. We have examined regularity and randomness based on the approximate entropy and sample entropy. We have noticed both entropies are extremely sensitive to choices of the parameters.

scholarly journals Financial contagion: The impact of the volatility of global stock exchanges on the Lima-Peru Stock Exchange

2020 ◽  
Vol 1 (1) ◽  
pp. 13-27
Author(s):  
Pedro Pablo Chambi Condori
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Stock Exchange ◽  
Market Volatility ◽  
Financial Contagion ◽  
Stock Market Volatility ◽  
Important Indicator ◽  
Dynamic Correlation ◽  
High Volatility ◽  
The Impact

What happens in the international financial markets in terms of volatility, have an impact on the results of the local stock market financial markets, as a result of the spread and transmission of larger stock market volatility to smaller markets such as the Peruvian, assertion that goes in accordance with the results obtained in the study in reference. The statistical evaluation of econometric models, suggest that the model obtained can be used for forecasting volatility expected in the very short term, very important estimates for agents involved, because these models can contribute to properly align the attitude to be adopted in certain circumstances of high volatility, for example in the input, output, refuge or permanence in the markets and also in the selection of best steps and in the structuring of the portfolio of investment with equity and additionally you can view through the correlation on which markets is can or not act and consequently the best results of profitability in the equity markets. This work comprises four well-defined sections; a brief history of the financial volatility of the last 15 years, a tight summary of the background and a dense summary of the methodology used in the process of the study, exposure of the results obtained and the declaration of the main conclusions which led us mention research, which allows writing, evidence of transmission and spread of the larger stock markets toward the Peruvian stock market volatility, as in the case of the American market to the market Peruvian stock market with the coefficient of dynamic correlation of 0.32, followed by the Spanish market and the market of China. Additionally, the coefficient of interrelation found by means of the model dcc mgarch is a very important indicator in the structure of portfolios of investment with instruments that they quote on the financial global markets.

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.

Friday the 13th effect on Indian stock market

2020 ◽  
Vol 07 (02) ◽  
pp. 2050010
Author(s):  
Tarika Singh Sikarwar ◽  
Karuna Shrivastava ◽  
Pratibha Jadon
Keyword(s):  
Stock Market ◽  
Design Methodology ◽  
Stock Exchange ◽  
Emerging Market ◽  
Indian Market ◽  
Study Results ◽  
Developed Nations ◽  
Indian Stock Market ◽  
Work Done ◽  
Practical Implications

Purpose: This paper attempts to investigate the presence of Friday the 13th Effect in the Indian stock market. Design/methodology/approach: This paper tests the presence of the Friday the 13th Effect using different sets of hypotheses for 7 days, 15 days and normal versus Friday the 13th by using statistical methods. Findings: The findings of the study do not support the presence of Friday the 13th Effect for all cases. There are few months for certain specific years where the effect was seen. Research limitations/implications: The Friday the 13th effect has been examined for two major indices of the Indian market, i.e., the Bombay Stock Exchange Index SENSEX and the National Stock Exchange Nifty Fifty Index. However, there are other major and sectoral indices as well where in the effect may be checked. Practical implications: The study results indicate that Indian stock market shows phased anomaly. The effect of Friday the 13th is seen only in some cases during certain years only. Originality/value: Friday the 13th effect has been mostly checked for developed nations and again there has been less work done with respect to this particular market anomaly. The present research is an original work done for emerging market naming India.

Day Of The Week And Its Effect On Stock Market Volatility: Evidence From An Emerging Market

2013 ◽  
Vol 29 (6) ◽  
pp. 1727 ◽  
Author(s):  
Omar Farooq ◽  
Mohammed Bouaddi ◽  
Neveen Ahmed
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Emerging Market ◽  
International Markets ◽  
Conditional Variance ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Foreign Investors ◽  
High Volatility ◽  
Day Of The Week

This paper investigates the day of the week effect in the volatility of the Saudi Stock Exchange during the period between January 7, 2007 and April 1, 2013. Using a conditional variance framework, we find that the day of the week effect is present in the volatility. Our results show that the lowest volatility occurs on Saturdays and Sundays. We argue that due to the closure of international markets on Saturdays and Sundays, there is not enough activity in the Saudi Stock Exchange. As a result, the volatility is the lowest on these days. Our results also show that the highest volatility occurs on Wednesdays. We argue Wednesday, being the last trading day of the week, corresponds with the start of four non-trading days (Thursday through Sunday) for foreign investors. Fearing that they will be stuck up with stocks in case some unfavorable information enters the market, foreign investors tend to exit the market on Wednesdays. As a result of excessive trading, there is high volatility on Wednesdays.

Price Limit and Volatility in Taiwan Stock Exchange: Some Additional Evidence from the Extreme Value Approach

2007 ◽  
Vol 10 (01) ◽  
pp. 51-61 ◽  
Author(s):  
Aktham I. Maghyereh ◽  
Haitham A. Al Zoubi ◽  
Haitham Nobanee
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Extreme Value ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Price Limits ◽  
Stock Volatility ◽  
Price Limit ◽  
Taiwan Stock Exchange

We reexamine the effects of price limits on stock volatility of Taiwan Stock Exchange using a new methodology based on the Extreme-Value technique. Consistent with the advocates of price limits, we find that stock market volatility is sharply moderated under more restrictive price limits.

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