Wavelet Analysis of Price and Volatility Spillovers in Stock Markets: The Case of India and the US

2006 ◽  
Vol 4 (2) ◽  
pp. 1-13
Author(s):  
Pratap Chandra Biswal ◽  
Prabir Kumar Mohanty
Keyword(s):  
Wavelet Analysis ◽  
Stock Markets ◽  
Volatility Spillovers ◽  
The Us

scholarly journals Spillovers to Renewable Energy Stocks in the US and Europe: Are They Different?

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3162 ◽  
Author(s):  
Tiantian Liu ◽  
Shigeyuki Hamori
Keyword(s):  
Renewable Energy ◽  
Stock Markets ◽  
Low Frequency ◽  
Investment Horizon ◽  
Stock Market Index ◽  
Energy Investment ◽  
Time Frequency ◽  
Volatility Spillovers ◽  
Financial Variables ◽  
The Us

This paper examines the spillovers of return and volatility transmitted from fossil energies (crude oil and natural gas) and several important financial variables (stock market index, bonds, and the volatility index) to renewable stock markets in the US and Europe under the time-frequency domain frameworks. The total spillovers of return and volatility from all variables to renewable stock markets in the US are higher than those in Europe. Stock markets transmit the highest return spillovers to renewable energy stocks, which far exceed the spillovers from fossil energy to renewable energy stocks in both regions. In addition, both return and volatility spillovers could be enhanced, possibly due to specific events or sudden changes in prices. In particular, extreme events such as the Brexit referendum in 2016 influenced mostly the volatility spillovers across European markets. Moreover, the spillovers of return and volatility are contingent on frequency, and most return spillovers are concentrated at the high frequency, whereas most volatility spillovers are concentrated at the low frequency. These results remind investors that it is necessary to consider the investment horizon when making their financial decisions on renewable energy investment.

scholarly journals Givers or Recipients? Co-Movements between Stock Markets of CEE-3 and Developed Countries

2019 ◽  
Vol 11 (22) ◽  
pp. 6495 ◽  
Author(s):  
Grabowski
Keyword(s):  
Czech Republic ◽  
Euro Area ◽  
Stock Markets ◽  
Sovereign Debt ◽  
Debt Crisis ◽  
Developed Countries ◽  
Sovereign Debt Crisis ◽  
The Czech Republic ◽  
Volatility Spillovers ◽  
The Us

In this paper, time-varying co-movements between the stock markets of Poland, the Czech Republic, Hungary, and the capital markets of developed countries in stable and crisis periods are studied. The parameters of the VAR-AGDCC-GARCH (Vector Autoregressive- Asymmetric Generalized Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroscedasticity) model are estimated, and volatility spillovers are calculated. The evidence suggests that the level of correlation between stock return shocks of Central and Eastern European countries increased significantly in the period of financial turmoil and was high in the period of the US sub-prime crisis, as well as during the euro area sovereign debt crisis. After the announcement of the OMT (Outright Monetary Transactions) program, the evolution of the stock market indices in Central and Eastern Europe countries (CEECs) have followed different paths. An analysis of the volatility spillovers indicates that CEECs are the recipients of volatility. In the period of 2004–2019, they received much volatility—from Germany and the US, in particular. They also received much volatility from Spain during the euro area sovereign debt crisis. After 2012, volatility transmission to Poland, the Czech Republic, and Hungary dropped significantly.

scholarly journals Intra-Daily Volatility Spillovers between the US and German Stock Markets

2012 ◽  
Author(s):  
Vasyl Golosnoy ◽  
Bastian Gribisch ◽  
Roman Liesenfeld
Keyword(s):  
Stock Markets ◽  
Volatility Spillovers ◽  
The Us ◽  
German Stock

scholarly journals The source of financial contagion and spillovers: An evaluation of the covid-19 pandemic and the global financial crisis

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0261835
Author(s):  
Samet Gunay ◽  
Gokberk Can
Keyword(s):  
Financial Crisis ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Financial Contagion ◽  
Test Results ◽  
Developed Economies ◽  
Volatility Spillovers ◽  
The Us ◽  
The Global Financial Crisis ◽  
The Impact

This study investigates the reaction of stock markets to the Covid-19 pandemic and the Global Financial Crisis of 2008 (GFC) and compares their influence in terms of risk exposures. The empirical investigation is conducted using the modified ICSS test, DCC-GARCH, and Diebold-Yilmaz connectedness analysis to examine financial contagion and volatility spillovers. To further reveal the impact of these two crises, the statistical features of tranquil and crisis periods under different time intervals are also compared. The test results show that although the outbreak’s origin was in China, the US stock market is the source of financial contagion and volatility spillovers during the pandemic, just as it was during the GFC. The propagation of shocks is considerably higher between developed economies compared to emerging markets. Additionally, the results show that the COVID-19 pandemic induced a more severe contagious effect and risk transmission than the GFC. The study provides an extensive examination of the COVID-19 pandemic and the GFC in terms of financial contagion and volatility spillovers. The results suggest the presence of strong co-movements of world stock markets with the US equity market, especially in periods of financial turmoil.

scholarly journals Testing the conditional correlations and volatility spillovers between US and ASEAN Islamic stock markets: A Multivariate GARCH Analysis

2015 ◽  
Vol 2 (1) ◽  
pp. 029
Author(s):  
Muhammad Rizky Prima Sakti
Keyword(s):  
Stock Markets ◽  
Multivariate Garch ◽  
Garch Models ◽  
Time Varying ◽  
Foreign Investors ◽  
Volatility Spillovers ◽  
The Us ◽  
Conditional Correlations ◽  
Multivariate Garch Models ◽  
Empirical Design

This study examines the conditional correlations and volatility spillovers between the US and ASEAN Islamic stock markets. The empirical design uses MSCI (Morgan Stanley Capital International) Islamic indexes as it adopted stringent restriction to include companies in sharia list. By using a three multivariate GARCH models (BEKK, diagonal VECH, and CCC model), we find evidence of returns and volatility spillovers from the US to the ASEAN Islamic stock markets. However, as the estimated time-varying conditional correlations and volatilities indicate there is still a room for diversification benefits, particularly in the single markets. The Islamic MSCI of Thailand, Indonesia, and Singapore are less correlate to the US MSCI Islamic index. The implication is that foreign investors may benefit from the reduction of risk by adding the Islamic stocks in those countries.

Measuring contagion during COVID-19 through volatility spillovers of BRIC countries using diagonal BEKK approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kunjana Malik ◽  
Sakshi Sharma ◽  
Manmeet Kaur
Keyword(s):  
Stock Markets ◽  
Emerging Market ◽  
Statistical Significance ◽  
Stock Market Returns ◽  
Content Type ◽  
Volatility Spillovers ◽  
Bric Countries ◽  
Dynamic Framework ◽  
International Portfolio Diversification ◽  
The Us

PurposeThe outbreak of the coronavirus disease 2019 (COVID-19) pandemic is an unprecedented shock to the BRICS (Brazil, Russia, India, China, South Africa) economy and their financial markets have plummeted significantly due to it. This paper adds to the recent literature on contagion due to spillover by uniquely examining the presence of pairwise contagion or volatility transmissions in stock markets returns of India, Brazil, Russia, China and USA prior to and during COVID-19 pandemic period.Design/methodology/approachIn this study, the generalised autoregressive conditional heteroskedasticity (GARCH) by Bollerslev (1986) under diagonal parameterization is used to estimate multivariate GARCH framework also known as BEKK (Baba EngleKraft and Kroner) model on stock market returns of BRIC nations and the US.FindingsThe empirical results show that the model captures the volatility spillovers and display statistical significance for own past mean and volatility with both short- and long-run persistence effects. Own volatility spillovers (Heatwave phenomenon) have been found to be highest for the US, China and Brazil compared to Russia and India. The coefficients indicate persistence of volatility for each country in terms of its own past errors. The highest and long-term spillover effect is found between US and Russia. The results recommend that Russia is least vulnerable to outside shocks. Finally after examining the pairwise results, it is suggested that the BRIC countries stock indices have exhibited volatility spillover due to the COVID-19 pandemic.Research limitations/implicationsThe study may be extended to include other emerging market economies under a dynamic framework.Practical implicationsResearchers and policymakers may draw useful insights on cross-market interdependencies regarding the spillovers in BRIC countries' stock markets. It also helps design international portfolio diversification strategies and in constructing optimal portfolios during COVID and in a post-COVID world.Originality/valueCOVID-19 has been an improbable event in the history of the world which can have a large impact on the financial economies across the emerging countries. This event can be deemed to be informative enough to measure the co-movements of the equity markets amongst cross-country return series, which has not been investigated so far for BRIC nations.

scholarly journals Volatility spillovers among oil and stock markets in the US and Saudi Arabia

2018 ◽  
Vol 51 (4) ◽  
pp. 329-345 ◽  
Author(s):  
Marinela Adriana Finta ◽  
Bart Frijns ◽  
Alireza Tourani-Rad
Keyword(s):  
Saudi Arabia ◽  
Stock Markets ◽  
Volatility Spillovers ◽  
The Us
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