Existence of Unit Root in Stock Index: Evidence from Indian Stock Market

2004 ◽  
Author(s):  
Deepak Khatri
Keyword(s):  
Stock Market ◽  
Unit Root ◽  
Stock Index ◽  
Indian Stock Market

Do Indian stock market sentiments impact contemporaneous returns?

2018 ◽  
Vol 7 (3) ◽  
pp. 332-346
Author(s):  
Divya Aggarwal ◽  
Pitabas Mohanty
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Temporal Dynamics ◽  
Stock Exchange ◽  
Principal Component ◽  
Stock Index ◽  
Content Type ◽  
Investor Sentiments ◽  
Indian Stock Market ◽  
The Impact

Purpose The purpose of this paper is to analyse the impact of Indian investor sentiments on contemporaneous stock returns of Bombay Stock Exchange, National Stock Exchange and various sectoral indices in India by developing a sentiment index. Design/methodology/approach The study uses principal component analysis to develop a sentiment index as a proxy for Indian stock market sentiments over a time frame from April 1996 to January 2017. It uses an exploratory approach to identify relevant proxies in building a sentiment index using indirect market measures and macro variables of Indian and US markets. Findings The study finds that there is a significant positive correlation between the sentiment index and stock index returns. Sectors which are more dependent on institutional fund flows show a significant impact of the change in sentiments on their respective sectoral indices. Research limitations/implications The study has used data at a monthly frequency. Analysing higher frequency data can explain short-term temporal dynamics between sentiments and returns better. Further studies can be done to explore whether sentiments can be used to predict stock returns. Practical implications The results imply that one can develop profitable trading strategies by investing in sectors like metals and capital goods, which are more susceptible to generate positive returns when the sentiment index is high. Originality/value The study supplements the existing literature on the impact of investor sentiments on contemporaneous stock returns in the context of a developing market. It identifies relevant proxies of investor sentiments for the Indian stock market.

scholarly journals Relations and Emotions beyond the Boundaries in the Post Crisis Era – An Analysis of the Impact of Selected Variables on the Indian Stock Market

2018 ◽  
Vol 4 (8) ◽  
pp. 72
Author(s):  
Pooja Yadav ◽  
Nitin Huria
Keyword(s):  
Stock Market ◽  
Global Economy ◽  
Stock Index ◽  
Asia Pacific ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run ◽  
Current Scenario ◽  
Indian Stock Market ◽  
The Impact

From a decade or so Indian continent has become the centre of attraction in the global economies. This changed outlook is due to the fact that India embraces vast availability of resources and opportunities which makes it the most vibrant global economy in the current scenario of worldwide sluggishness. On this path of growth and prosperity India is showing stiff commitments and competitive edges with developed as well as emerging countries. To be more specific, during this voyage in the Asia pacific region recently on one side India has seen stronger bonding with some of its old mates like Japan but on the other part it has faced strain like situation from its stronger competitor contender china on the same time. Hence, in this context the main aim of this paper is to examine the long run and short run equilibrium impacts of Japan and Chinese stock index as well as macroeconomic variables impact on Indian stock market. This paper finds the presence of both long and short run equilibrium impacts from China and Japan to India. In case of Japanese financial market (Nikki 225) has a trivial negative but significant long run impact whereas, the Chinese stock index (SSE composite) is operating at the short run with the same mild negative but significant impact on the Indian stock market. The results of the impact of macroeconomic variables find the existence of long run as well as short run equilibrium from some of the selected variables on Indian stock market.

scholarly journals Volatility Spillover Effect in Indian Stock Market

2017 ◽  
Vol 5 ◽  
pp. 83-101 ◽  
Author(s):  
Surya Bahadur G. C ◽  
Ranjana Kothari ◽  
Rajesh Kumar Thagurathi
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Exchange ◽  
Spillover Effect ◽  
Stock Index ◽  
Global Markets ◽  
Series Data ◽  
Volatility Spillover ◽  
Volatility Transmission ◽  
Indian Stock Market

The study aims to empirically examine the transmission of volatility from global stock markets to Indian stock market. The study is based on time series data comprising of daily closing stock market indices from National Stock Exchange (NSE), India and major foreign stock exchange of the three countries one each from America, Europe and Asia making the highest portfolio investment in Indian stock market. The study period covers 11 years from 1st January, 2005 to 31st December, 2015 comprising a total of 2731 observations. The Indian stock index used is CNX Nifty 50 and the foreign indices are S & P 500 from USA, FTSE 100 from UK, and Nikkei 225 from Japan. The results reveal that the Indian stock market return is co-integrated with market returns of US, UK and Japanese stock markets. Therefore, the return and hence volatility of Indian stock market is associated with global markets which depicts that it is getting integrated with global financial markets. The results provide empirical evidence for volatility transmission or volatility spillover in the Indian stock market from global markets. There exists inbound volatility transmission from US market to Indian stock market. The Indian and UK stock market have bi-directional volatility transmission. However, there exists presence of only outbound volatility transmission from Indian stock market to Japanese stock market. The volatility transmission from global markets to India is rapid with the spillover effect existing for up to three days only.Janapriya Journal of Interdisciplinary Studies, Vol. 5 (December 2016), page: 83-101

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

2021 ◽  
Vol 9 (3) ◽  
pp. 1-6
Author(s):  
Aditya Prasad Sahoo
Keyword(s):  
Stock Market ◽  
Unit Root ◽  
Unit Root Test ◽  
Weak Form ◽  
Stock Valuation ◽  
Monthly Basis ◽  
Stock Market Efficiency ◽  
Run Test ◽  
Indian Stock Market ◽  
Ks Test

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.

scholarly journals Volatility in stock market: evidence from india

2013 ◽  
Vol 1 (4) ◽  
pp. 463-469
Author(s):  
Shunmuga Rajan N ◽  
Rajasekar N
Keyword(s):  
Stock Market ◽  
Unit Root ◽  
Unit Root Test ◽  
Statistical Measure ◽  
Descriptive Model ◽  
Time Series Econometrics ◽  
Market Index ◽  
High Volatility ◽  
Oil Sector ◽  
Indian Stock Market

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.

Investigating the Effect of Broad Money Supply on Stock Market Index and Market Capitalization: Evidence from Liberalized India

2021 ◽  
pp. 227868212110476
Author(s):  
Animesh Bhattacharjee ◽  
Joy Das
Keyword(s):  
Stock Market ◽  
Error Correction ◽  
Money Supply ◽  
Unit Root ◽  
Unit Root Test ◽  
Stock Market Index ◽  
Market Capitalization ◽  
Market Index ◽  
Indian Stock Market ◽  
Stock Market Capitalization

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.

META-ANALYSIS ON AMERICAN PRESIDENTIAL ELECTION - 2016 AND AMERICAN STOCK MARKET

2020 ◽  
Vol 38 (1) ◽  
Author(s):  
Farhan Ahmed ◽  
Salman Bahoo ◽  
Sohail Aslam ◽  
Muhammad Asif Qureshi
Keyword(s):  
Content Analysis ◽  
Stock Market ◽  
Event Study ◽  
Presidential Election ◽  
Republican Party ◽  
Stock Exchange ◽  
Meta Analysis ◽  
Composite Index ◽  
Stock Index ◽  
Political Event

This paper aims to analyze the efficient stock market hypothesis as responsive to American Presidential Election, 2016. The meta-analysis has been done combining content analysis and event study methodology. The all major newspapers, news channels, public polls, literature and five important indices as Dow Jones Industrial Average (DJIA), NASDAQ Stock Market Composit Indexe (NASDAQ-COMP), Standard & Poor's 500 Index (SPX-500), New York Stock Exchange Composite Index (NYSE-COMP) and Other U.S Indexes-Russell 2000 (RUT-2000) are critically examined and empirically analyzed. The findings from content analysis reflect that stunned winning of Mr Trump from Republican Party worked as shock for American stock market. From event study, findings confirmed that all the major indices reflected a decline on winning of Trump and losing of Ms. Clinton from Democratic. The results are supported empirically and practically through the political event like BREXIT that resulted in shock to Global stock index and loss of $2 Trillion.

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