Spillover Effect of the Oil Prices on the Indian Stock Market

2016 ◽  
Author(s):  
Pearly Jacob
Keyword(s):  
Stock Market ◽  
Spillover Effect ◽  
Oil Prices ◽  
Indian Stock Market

Volatility Spillover Between Indian and MINT Stock Exchanges: Portfolio Diversification Implication

2019 ◽  
Vol 67 (3-4) ◽  
pp. 299-311
Author(s):  
Miklesh Prasad Yadav ◽  
Asheesh Pandey
Keyword(s):  
Stock Market ◽  
Spillover Effect ◽  
Stock Exchanges ◽  
Volatility Spillover ◽  
Conditional Correlation ◽  
Causality Test ◽  
Portfolio Managers ◽  
Vector Auto Regression ◽  
Indian Stock Market ◽  
Auto Regression

We examine the spillover effect from the Indian stock market to Mexico, Indonesia, Nigeria and Turkey (MINT) stock markets in order to check if suitable diversification opportunities are available to global portfolio managers investing in India. We apply Granger causality test, vector auto-regression (VAR) and dynamic conditional correlation (DCC)–MGARCH to investigate the level of integration between India and MINT economies. We observe bidirectional causality between India and Nigeria, unidirectional causality in Mexico and Indonesia, while no causality is found between India and Turkey. Our VAR results suggest that none of the MINT economies impact the return of the Indian stock market; rather returns of the Indian stock market are more affected by their own lagged values. Finally, by applying DCC–MGARCH, we observe that there is no volatility spillover from India to any of the MINT economies. We recommend that portfolio managers investing in the Indian economy may explore MINT economies as possible destinations to diversify their risk. Our study has implications for both academia and portfolio managers.

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 Volatility in Crude Oil Prices and its Impact on Indian Stock Market Evidence from BSE Sensex#

2018 ◽  
Vol 9 (1) ◽  
pp. 1-23
Author(s):  
S. Sathyanarayana ◽  
S.N. Harish ◽  
Sudhindra Gargesha ◽  
◽  
◽  
...  
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
Indian Stock Market

An empirical study on the dynamic relationship between oil prices and Indian stock market

2014 ◽  
Vol 40 (2) ◽  
pp. 200-215 ◽  
Author(s):  
Tarak Nath Sahu ◽  
Kalpataru Bandopadhyay ◽  
Debasish Mondal
Keyword(s):  
Stock Market ◽  
Error Correction ◽  
Oil Prices ◽  
Granger Causality Test ◽  
Oil Price ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Indian Stock Market

Purpose – This study aims to investigate the dynamic relationships between oil price shocks and Indian stock market. Design/methodology/approach – The study used daily data for the period starting from January 2001 to March 2013. In this study, Johansen's cointegration test, vector error correction model (VECM), Granger causality test, impulse response functions (IRFs) and variance decompositions (VDCs) test have been applied to exhibit the long-run and short-run relationship between them. Findings – The cointegration result indicates the existence of long-term relationship. Further, the error correction term of VECM shows a long-run causality moves from Indian stock market to oil price but not the vice versa. The results of the Granger causality test under the VECM framework confirm that no short-run causality between the variables exists. The VDCs analysis revealed that the Indian stock markets and crude oil prices are strongly exogenous. Finally, from the IRFs, analysis revealed that a positive shock in oil price has a small but persistence and growing positive impact on Indian stock markets in short run. Originality/value – The study would enhance the understandings of the interaction between oil price volatilities and emerging stock market performances. Further, the study would enable foreign investors who are interested in Indian stock market helps in understanding the conditional relationship between the variables.

Do Macroeconomic Variables Impact the Indian Stock Market?

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Khalid Ul Islam ◽  
Mohsina Habib
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Returns ◽  
Causal Relationship ◽  
Granger Causality ◽  
Oil Prices ◽  
Granger Causality Test ◽  
Causality Test ◽  
Macroeconomic Variables ◽  
Indian Stock Market

This paper is intended to study the impact of various macroeconomic variables on Indian stock market. Based on the Arbitrage Pricing Theory (APT) propounded by Ross in 1976 and various other studies, a number of macroeconomic variables including, inflation, industrial production, exchange rate, money supply, interest rate, and oil price have been identified to have a significant impact on the stock market. We have applied the multivariate extension of the classical linear regression model computed on Ordinary Least Squares method and Granger Causality test to re-establish the relationship between macroeconomic variables and stock returns over a period of 10 years from 2005 to 2015 using monthly observations. The results of this study show that only exchange rate has a significant negative impact on stock returns. The other macroeconomic variables are not significantly affecting stock returns, however, their impact is in accordance with the economic theory. The Granger Causality test reveals absence of any causal relationship between stock returns and macroeconomic variables, except in case of oil prices, where we find a unidirectional causal relationship running from stock returns to oil prices. However, the Granger Causality results should not be taken in the conventional meaning of causality, but results merely identifying precedence.

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

Asymmetric Volatility Spillover between Stock Market and Foreign Exchange Market: Instances from Indian Market from Pre-, during and Post- Subprime Crisis Periods

2018 ◽  
Vol 19 (6) ◽  
pp. 1567-1579 ◽  
Author(s):  
Gnyana Ranjan Bal ◽  
Amit Manglani ◽  
Malabika Deo
Keyword(s):  
Stock Market ◽  
Exchange Rates ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Spillover Effect ◽  
Subprime Crisis ◽  
Volatility Spillover ◽  
Asymmetric Volatility ◽  
Optimal Portfolio Selection ◽  
Indian Stock Market

Modern businesses are so inter-twined that a cause in one market affects other markets throughout the Globe. The 2008 subprime crisis is one of such evidences of inter-linkage of global markets. Such type of event motivates many studies to analyse the transmission of volatility from one market to another market. The study aims to analyse the volatility spillover effect between CNX Nifty and exchange rates covering for three different currencies, that is, USD, GBP and yen. GARCH (1,1) and EGARCH (1,1) have been used to identify the spillover effect and asymmetries or leverage effect in the volatility transmission through the estimation of different parameters. The overall findings show that there is spillover between the foreign exchange and the stock market. Among the three exchange rates, the USDR is strongly co-related with the Indian stock market as compared to other rates. Our study will significantly contribute to the existing literature in this context. The findings of the study have greater implications especially for hedgers, arbitrators and other participants in this market. As such type of information regarding transmission of volatility can help them to diversify their overseas risk through an optimal portfolio selection.

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