IDEAS home Printed from https://ideas.repec.org/a/wly/isacfm/v16y2009i1-2p189-205.html
   My bibliography  Save this article

Dynamic interaction networks in modelling and predicting the behaviour of multiple interactive stock markets

Author

Listed:
  • Harya Widiputra
  • Russel Pears
  • Antoaneta Serguieva
  • Nikola Kasabov

Abstract

The behaviour of multiple stock markets can be described within the framework of complex dynamic systems. A representative technique of the framework is the dynamic interaction network (DIN), recently developed in the bioinformatics domain. DINs are capable of modelling dynamic interactions between genes and predicting their future expressions. In this paper, we adopt a DIN approach to extract and model interactions between stock markets. The network is further able to learn online and updates incrementally with the unfolding of the stock market time‐series. The approach is applied to a case study involving 10 market indexes in the Asia Pacific region. The results show that the DIN model reveals important and complex dynamic relationships between stock markets, demonstrating the ability of complex dynamic systems approaches to go beyond the scope of traditional statistical methods. Copyright © 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Harya Widiputra & Russel Pears & Antoaneta Serguieva & Nikola Kasabov, 2009. "Dynamic interaction networks in modelling and predicting the behaviour of multiple interactive stock markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(1‐2), pages 189-205, January.
    • Handle: RePEc:wly:isacfm:v:16:y:2009:i:1-2:p:189-205
    DOI: 10.1002/isaf.300
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/isaf.300
    Download Restriction: no
    File URL: https://libkey.io/10.1002/isaf.300?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Chiang, Thomas C & Doong, Shuh-Chyi, 2001. "Empirical Analysis of Stock Returns and Volatility: Evidence from Seven Asian Stock Markets Based on TAR-GARCH Model," Review of Quantitative Finance and Accounting, Springer, vol. 17(3), pages 301-318, November.
    2. Antonios Antoniou & Gioia Pescetto & Antonis Violaris, 2003. "Modelling International Price Relationships and Interdependencies Between the Stock Index and Stock Index Futures Markets of Three EU Countries: A Multivariate Analysis," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(5‐6), pages 645-667, June.
    3. Abul M. M. Masih & Rumi Masih, 2001. "Dynamic Modeling of Stock Market Interdependencies: An Empirical Investigation of Australia and the Asian NICs," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 235-264.
    4. Antonios Antoniou & Gioia Pescetto & Antonis Violaris, 2003. "Modelling International Price Relationships and Interdependencies Between the Stock Index and Stock Index Futures Markets of Three EU Countries: A Multivariate Analysis," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(5-6), pages 645-667.
    5. D. Collins & N. Biekpe, 2003. "Contagion And Interdependence In African Stock Markets," South African Journal of Economics, Economic Society of South Africa, vol. 71(1), pages 181-194, March.
    Full references (including those not matched with items on IDEAS)

    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. Junior, Peterson Owusu & Tiwari, Aviral Kumar & Padhan, Hemachandra & Alagidede, Imhotep, 2020. "Analysis of EEMD-based quantile-in-quantile approach on spot- futures prices of energy and precious metals in India," Resources Policy, Elsevier, vol. 68(C).
    2. W.I.C.S. Gunasinghe, 2005. "Behaviour of Stock Markets in South Asia," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 6(2), pages 165-191, September.
    3. Kuttu, Saint, 2014. "Return and volatility dynamics among four African equity markets: A multivariate VAR-EGARCH analysis," Global Finance Journal, Elsevier, vol. 25(1), pages 56-69.
    4. Christos Savva & Denise Osborn & Len Gill, 2009. "Spillovers and correlations between US and major European stock markets: the role of the euro," Applied Financial Economics, Taylor & Francis Journals, vol. 19(19), pages 1595-1604.
    5. Fowowe, Babajide & Shuaibu, Mohammed, 2016. "Dynamic spillovers between Nigerian, South African and international equity markets," International Economics, Elsevier, vol. 148(C), pages 59-80.
    6. Ismail bin Ahmad & Fahmi bin Abdul Rahim, 2009. "International price relationship and volatility transmission between stock index and stock index futures," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 1(1), pages 61-75, April.
    7. Zaghum Umar & Tahir Suleman, 2017. "Asymmetric Return and Volatility Transmission in Conventional and Islamic Equities," Risks, MDPI, vol. 5(2), pages 1-18, March.
    8. Idier, J., 2006. "Stock exchanges industry consolidation and shock transmission," Working papers 159, Banque de France.
    9. Hou, Yang & Li, Steven, 2016. "Information transmission between U.S. and China index futures markets: An asymmetric DCC GARCH approach," Economic Modelling, Elsevier, vol. 52(PB), pages 884-897.
    10. Aloui, Chaker & Hkiri, Besma & Lau, Marco Chi Keung & Yarovaya, Larisa, 2018. "Information transmission across stock indices and stock index futures: International evidence using wavelet framework," Research in International Business and Finance, Elsevier, vol. 44(C), pages 411-421.
    11. Yiuman Tse & Paramita Bandyopadhyay & Yang‐Pin Shen, 2006. "Intraday Price Discovery in the DJIA Index Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9‐10), pages 1572-1585, November.
    12. Audi, Marc & Sadiq, Azhar & Ali, Amjad, 2021. "Performance Evaluation of Islamic and Non-Islamic Equity and Bonds Indices: Evidence from selected Emerging and Developed Countries," MPRA Paper 109866, University Library of Munich, Germany.
    13. Kotkatvuori-Örnberg, Juha & Nikkinen, Jussi & Äijö, Janne, 2013. "Stock market correlations during the financial crisis of 2008–2009: Evidence from 50 equity markets," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 70-78.
    14. Erdogan, Oral & Tata, Kenan & Karahasan, B. Can & Sengoz, M. Hakan, 2013. "Dynamics of the co-movement between stock and maritime markets," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 282-290.
    15. Büttner, David & Hayo, Bernd, 2011. "Determinants of European stock market integration," Economic Systems, Elsevier, vol. 35(4), pages 574-585.
    16. Jack J. W. Yang & Chia-Hsing Huang & Chi-Hui Wang, 2013. "Nonlinear Relationships between Taiwan VIX Index and the Intraday Ordering Behavior of Stock Index Options," Business and Management Research, Business and Management Research, Sciedu Press, vol. 2(3), pages 68-80, September.
    17. Sunil S. Poshakwale & Anandadeep Mandal, 2017. "Sources of time varying return comovements during different economic regimes: evidence from the emerging Indian equity market," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 859-892, May.
    18. Yarovaya, Larisa & Brzeszczyński, Janusz & Lau, Chi Keung Marco, 2016. "Intra- and inter-regional return and volatility spillovers across emerging and developed markets: Evidence from stock indices and stock index futures," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 96-114.
    19. Trang Nha Le & Makoto Kakinaka, 2010. "International Transmission Of Stock Returns: Mean And Volatility Spillover Effects In Indonesia And Malaysia," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(1), pages 115-131.
    20. Ekin Tokat & Hakkı Arda Tokat, 2010. "Shock and Volatility Transmission in the Futures and Spot Markets: Evidence from Turkish Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(4), pages 92-104, January.

    More about this item

    Statistics

    Access and download statistics

    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:wly:isacfm:v:16:y:2009:i:1-2:p:189-205. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1099-1174/ .

    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.