IDEAS home Printed from https://ideas.repec.org/a/cbu/jrnlec/y2019v3p44-62.html
   My bibliography  Save this article

Estimating Volatility Spillovers, Dynamic Causal Linkages And International Contagion Patterns Between Developed Stock Markets: An Empirical Case Study For Usa, Canada, France And Uk

Author

Listed:
  • CRISTI SPULBAR

    (UNIVERSITY OF CRAIOVA, FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION, ROMANIA)

  • JATIN TRIVEDI

    (AMITY UNIVERSITY MUMBAI, FACULTY OF FINANCE, INDIA)

  • RAMONA BIRAU

    (FACULTY OF EDUCATION SCIENCE, LAW AND PUBLIC ADMINISTRATION AT THE CONSTANTIN BRANCUSI UNIVERSITY OF TARGU JIU, ROMANIA)

  • TENEA COSMIN ANDREI

    (UNIVERSITY OF CRAIOVA, FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION, ROMANIA)

  • ABDULLAH EJAZ

    (INSTRUCTOR AND COORDINATOR OF BUSINESS ADMINISTRATION ABM COLLEGE CALGARY, CANADA)

Abstract

This research paper examines in a comparative manner the long-term behavior of certain developed economies, such as USA, Canada, France and UK. The applied financial econometrics approach includes relevant research methods such as descriptive statistics, Unit Root Test, Hodrick-Prescott (HP) filter, Augmented Dickey-Fuller stationary test, BDS test, Granger causality test/Vector AutoRegression (VAR) model and GARCH (1, 1) model. The empirical results provide additional evidence on volatility spillovers, dynamic causal linkages and international contagion patterns between developed stock markets considering international portofolio diversification benefits. The sample financial data series are based on daily returns of selected stock markets major indices, ie during the period from January 2000 until June 2018.

Suggested Citation

  • Cristi Spulbar & Jatin Trivedi & Ramona Birau & Tenea Cosmin Andrei & Abdullah Ejaz, 2019. "Estimating Volatility Spillovers, Dynamic Causal Linkages And International Contagion Patterns Between Developed Stock Markets: An Empirical Case Study For Usa, Canada, France And Uk," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 44-62, June.
    • Handle: RePEc:cbu:jrnlec:y:2019:v:3:p:44-62
    as

    Download full text from publisher

    File URL: http://www.utgjiu.ro/revista/ec/pdf/2019-03/05_Spulbar.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lei Ruan, 2018. "Research on Sustainable Development of the Stock Market Based on VIX Index," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
    2. Xuedi Li & Jie Ma & Zhu Chen & Haitao Zheng, 2018. "Linkage Analysis among China’s Seven Emissions Trading Scheme Pilots," Sustainability, MDPI, vol. 10(10), pages 1-13, September.
    3. Dimitris Balios & Manolis Xanthakis, 2003. "International interdependence and dynamic linkages between developed stock markets," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 1(1), pages 105-130.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. Pretorius, Elna, 2002. "Economic determinants of emerging stock market interdependence," Emerging Markets Review, Elsevier, vol. 3(1), pages 84-105, March.
    6. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    7. S. Aun Hassan, 2017. "A Time Series Analysis of Major Indexes Using GARCH Model with Regime Shifts," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 8(4), pages 127-133, October.
    8. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cristi Spulbar & Ramona Birau & Lucian Florin Spulbar, 2021. "A Critical Survey on Efficient Market Hypothesis (EMH), Adaptive Market Hypothesis (AMH) and Fractal Markets Hypothesis (FMH) Considering Their Implication on Stock Markets Behavior," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 1161-1165, December.
    2. Cristi Spulbar & Elena Loredana Minea, 2022. "Inefficient Stock Markets And Their Implications In The Context Of Extreme Financial Events: A Theoretical Framework," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 38-41, February.
    3. Cristi Spulbar & Ramona Birau & Jatin Trivedi, 2021. "Investigating Short and Long Run Volatility Movements in the Context of COVID-19 Pandemic: A Case Study for Norwegian Stock Market," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 1166-1171, December.
    4. Petre Valeriu Ninulescu, 2022. "Tax Evasion And Tax Havens - A Critical Theoretical Survey," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 261-264, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. ?ikolaos A. Kyriazis, 2021. "Impacts of Stock Indices, Oil, and Twitter Sentiment on Major Cryptocurrencies during the COVID-19 First Wave," Bulletin of Applied Economics, Risk Market Journals, vol. 8(2), pages 133-146.
    2. Chia-Lin Chang & Michael McAleer, 2017. "A Simple Test for Causality in Volatility," Econometrics, MDPI, vol. 5(1), pages 1-5, March.
    3. Madina D. Sharapiyeva & Kunanbayeva Duissekul & Nurseiytova Gulmira & Kozhamkulova Zhanna, 2019. "Energy Efficiency of Transport and Logistics Infrastructure: The Example of the Republic of Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 331-338.
    4. Charlotte Christiansen, 2007. "Volatility‐Spillover Effects in European Bond Markets," European Financial Management, European Financial Management Association, vol. 13(5), pages 923-948, November.
    5. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    6. Salles, Andre Assis de, 2014. "Asymmetry between Gasoline and Crude Oil Prices in the Brazilian Economy and Some Selected Developed Economies," MPRA Paper 98985, University Library of Munich, Germany, revised 2020.
    7. Yarovaya, Larisa & Lau, Marco Chi Keung, 2016. "Stock market comovements around the Global Financial Crisis: Evidence from the UK, BRICS and MIST markets," Research in International Business and Finance, Elsevier, vol. 37(C), pages 605-619.
    8. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871, September.
    9. Edward C. H. Tang, 2021. "Speculate a lot," Pacific Economic Review, Wiley Blackwell, vol. 26(1), pages 91-109, February.
    10. Bolós, V.J. & Benítez, R. & Ferrer, R. & Jammazi, R., 2017. "The windowed scalogram difference: A novel wavelet tool for comparing time series," Applied Mathematics and Computation, Elsevier, vol. 312(C), pages 49-65.
    11. Alexander Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 149-176, March.
    12. Algirdas Justinas Staugaitis & Bernardas Vaznonis, 2022. "Short-Term Speculation Effects on Agricultural Commodity Returns and Volatility in the European Market Prior to and during the Pandemic," Agriculture, MDPI, vol. 12(5), pages 1-26, April.
    13. Christiansen, Charlotte, 2008. "Level-ARCH short rate models with regime switching: Bivariate modeling of US and European short rates," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 925-948, December.
    14. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    15. Nikolaos A. Kyriazis, 2021. "A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets," JRFM, MDPI, vol. 14(7), pages 1-46, June.
    16. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    17. Mohamed El Hedi Arouri & Mondher Bellalah & Duc Khuong Nguyen, 2010. "The comovements in international stock markets: new evidence from Latin American emerging countries," Applied Economics Letters, Taylor & Francis Journals, vol. 17(13), pages 1323-1328.
    18. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    19. Ping-Yu Chen & Chia-Lin Chang & Chi-Chung Chen & Michael McAleer, 2012. "Modelling the Effects of Oil Prices on Global Fertilizer Prices and Volatility," JRFM, MDPI, vol. 5(1), pages 1-37, December.
    20. Nazlioglu, Saban & Gupta, Rangan & Gormus, Alper & Soytas, Ugur, 2020. "Price and volatility linkages between international REITs and oil markets," Energy Economics, Elsevier, vol. 88(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cbu:jrnlec:y:2019:v:3:p:44-62. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ecobici Nicolae (email available below). General contact details of provider: https://edirc.repec.org/data/fetgjro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.