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.

scholarly journals Do confidence indicators have an impact on macro-financial indicators? An analysis of the financial service and real sector confidence indexes: evidence from Turkey

2020 ◽  
Vol 9 (1) ◽  
pp. 74-94
Author(s):  
Esra N Kilci
Keyword(s):  
Stock Market ◽  
Unit Root ◽  
Financial Services ◽  
Structural Breaks ◽  
Unit Root Test ◽  
Real Sector ◽  
Financial Indicators ◽  
Stock Market Index ◽  
Market Index ◽  
The Impact

The primary aim of this study is to analyze the impact of financial services and real sector confidence indexes on some macroeconomic and financial indicators such as industrial production, inflation, stock market index, foreign exchange rates and interest rates in Turkey for the period from May 2012 to May 2019. In this study, the unit root properties of these series are tested by using the Narayan and Popp (2010) unit root test with two structural breaks and the Enders and Lee (2012) Fourier ADF unit root test with multiple structural breaks. We investigate the causal link between confidence indicators and macro-financial variables using the Fourier Toda Yamamoto causality test proposed by Nazlioglu et al. (2016). The results suggest a strong link between financial services and real sector confidence indexes on macro-financial indicators such as stock market index and inflation, supporting the evidence of the short-run impact of confidence indexes on these variables.

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.

REAL EXCHANGE RATE RETURNS AND REAL STOCK PRICE RETURNS IN THE STOCK MARKET OF MALAYSIA

2016 ◽  
Vol 64 (05) ◽  
pp. 1319-1349
Author(s):  
HOCK TSEN WONG
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Real Exchange Rate ◽  
Granger Causality ◽  
Unit Root ◽  
Stock Price ◽  
Unit Root Test ◽  
The United States ◽  
Test Statistics ◽  
Time Invariant

This study examines the relationships between real exchange rate returns and real stock price returns in the stock market of Malaysia. The Kwiatkowski, Phillips, Schmidt and Shin (KPSS) and Dickey and Fuller (DF) unit root test statistics show that all the variables examined are found to be stationary in the first differences. The constant conditional correlation (CCC)-multivariate generalized autoregressive conditional heteroskedasticity (MGARCH) model shows that real exchange rate return of Malaysian ringgit against the United States dollar (RM/USD) and real stock price return of Kuala Lumpur Composite Index (KLCI) are found to be negative and significantly correlated. However, there is insignificant correlation between real exchange rate return of Malaysian ringgit against Japanese Yen (RM/¥) and real stock price return of KLCI. Moreover, the CCC-MGARCH models show that real exchange rate returns and real stock price returns of some stocks are found to be significantly correlated. The KPSS unit root test statistics show that the time invariant conditional variances of real exchange rate returns and real stock price returns are mostly found to be stationary in the levels. There is no evidence of Granger causality between the time invariant conditional variances of real exchange rate returns and real stock price return of KLCI but some evidence of Granger causality between the time invariant conditional variances of real exchange rate returns and real stock price returns. There is a link between the exchange rate market and the stock market in Malaysia but not every real stock price return is significantly linked with real exchange rate return.

scholarly journals Asymmetric Volatility in the Nepalese Stock Market

2021 ◽  
Vol 22 (1) ◽  
pp. 41-59
Author(s):  
Dinesh Gajurel
Keyword(s):  
Stock Market ◽  
Spillover Effect ◽  
Equity Markets ◽  
Spillover Effects ◽  
Stock Market Index ◽  
International Equity Markets ◽  
Asymmetric Volatility ◽  
Market Index ◽  
International Equity ◽  
Indian Stock Market

This paper investigates the asymmetric volatility behavior of the Nepalese stock market including spillover effects from the US and Indian equity markets. I modeled asymmetric volatility within a generalized autoregressive conditional heteroskdasticy framework using comprehensive data for the Nepal stock market index. The results reveal a very different asymmetry compared to the results in other international equity markets: positive shocks increase volatility by more than negative shocks. The results further suggest that uninformed investors play a significant role in the Nepalese stock market. The spillover effect from the Indian stock market to the Nepalese stock market is negative. Overall, I conclude that a “fear of missing out” (FOMO) of noise traders as well as the deployment of pump and dump schemes are inherent features of the Nepalese stock market. The findings are very useful to policy makers and investors alike.

scholarly journals A Study on Affiliation between Indian Stock Market and Macro Economic Variables

2018 ◽  
Vol 5 (01) ◽  
Author(s):  
Pooja Chaturvedi Sharma
Keyword(s):  
Stock Market ◽  
Inflation Rate ◽  
Stock Market Volatility ◽  
Stock Market Index ◽  
Complex Interplay ◽  
Monthly Data ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Causality Tests ◽  
Indian Stock Market

Stock market volatility is a result of complex interplay of a host of factors. Hence, it is difficult to make a correct assessment of its movement. Macroeconomic variables have are very much influential in context of the volatility of stock market. This study inspects the association amongst stock market index and selected macroeconomic variables. For the analysis unit root, co-integration, Granger causality tests and Johansen co-integration tests were performed. Outcomes of the study showed that all the variables namely money supply, exchange rate and inflation rate are positively correlated with the stock market index except gold prices. Co-integration existed between the stock market index and macroeconomic variables. The study uses monthly data of past ten years (i.e. from April 2008 to March 2018).

scholarly journals Derivative Trading and Spot Market Volatility: Evidence from Indian Market

2015 ◽  
Vol 1 (3) ◽  
pp. 23-34 ◽  
Author(s):  
Dhanya Alex ◽  
Roshna Varghese
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Unit Root Test ◽  
Spot Market ◽  
Descriptive Statistics ◽  
Garch Models ◽  
Indian Market ◽  
Stock Volatility ◽  
Asymmetric Behaviour ◽  
Indian Stock Market

The present study tries to estimate the effect of introduction of individual stock derivatives on the underlying stock volatility in Indian stock market. To estimate the effect of introduction of derivatives on stock market, GARCH family models which are known for their ability to model volatility. The return series of the ten companies were tested using methods like, unit root test and descriptive statistics to confirm that GARCH models could be used. Using these models, the asymmetric nature of stock returns and the volatility of stock returns on the introduction of derivatives are checked. The results reveal that the introduction of derivatives has decreased the volatility of the underlying stock returns. It was also found that most of the stock returns show asymmetric behaviour.

Volatility in the Indian Stock Market: Evidence from S&P CNX 500

2020 ◽  
Vol 17 (4) ◽  
pp. 1826-1830
Author(s):  
V. Shanthaamani ◽  
V. B. Usha
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Risk Premium ◽  
Conditional Variance ◽  
Leverage Effect ◽  
Volatility Clustering ◽  
Expected Stock Returns ◽  
High Volatility ◽  
Indian Stock Market ◽  
Daily Returns

This paper uses the Generalized Autoregressive Conditional Heteroskedastic models to estimate volatility (conditional variance) in the daily returns of the S&P CNX 500 index over the period from April 2007 to March 2018. The models include both symmetric and asymmetric models that capture the most common stylized facts about index returns such as volatility clustering and leverage effect. The empirical results show that the conditional variance process is highly persistent and provide evidence on the existence of risk premium for the S&P CNX 500 index return series which support the positive correlation hypothesis between volatility and the expected stock returns. Our findings also show that the asymmetric models provide better fit than the symmetric models, which confirms the presence of leverage effect. These results, in general, explain that high volatility of index return series is present in Indian stock market over the sample period.

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