IDEAS home Printed from https://ideas.repec.org/a/sgm/jbfeuw/v1y2014i1p59-72.html
   My bibliography  Save this article

Volatility Transmission Between Stock and Foreign Exchange Markets: Evidence from Nigeria

Author

Listed:
  • Emenike Kalu O.

    (Rhema University)

Abstract

The direction of volatility transmission between stock and foreign exchange markets is important for hedging strategy, portfolio management and financial market regulation. This paper examines volatility transmission between stock and foreign exchange markets by applying the multivariate GARCH model in the BEKK framework to Nigerian stock returns and the Naira/USD exchange rate data from January 1996 to March 2013. Results of the empirical analysis show evidence of volatility clustering in both stock and foreign exchange markets. The results also show bi-directional shock transmission between stock and foreign exchange markets, suggesting that information flow in the foreign exchange market impact the stock market and vice versa. Finally, the results show evidence of a uni-directional volatility transmission from the foreign exchange market to the stock market. The implication is for investors vigilantly to monitor and dissect all information in the two markets as part of their investment strategy.

Suggested Citation

  • Emenike Kalu O., 2014. "Volatility Transmission Between Stock and Foreign Exchange Markets: Evidence from Nigeria," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 1(1), pages 59-72.
    • Handle: RePEc:sgm:jbfeuw:v:1:y:2014:i:1:p:59-72
    DOI: 10.7172/2353-6845.jbfe.2014.1.4
    as

    Download full text from publisher

    File URL: https://press.wz.uw.edu.pl/jbfe/vol2014/iss1/4/
    Download Restriction: no
    File URL: https://libkey.io/10.7172/2353-6845.jbfe.2014.1.4?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. Saurabh Ghosh, 2014. "Volatility spillover in the foreign exchange market: the Indian experience," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 7(1), pages 175-194, March.
    2. Malik, Farooq & Ewing, Bradley T., 2009. "Volatility transmission between oil prices and equity sector returns," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 95-100, June.
    3. Karolyi, G Andrew, 1995. "A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 11-25, January.
    4. Kim, Ki-ho, 2003. "Dollar exchange rate and stock price: evidence from multivariate cointegration and error correction model," Review of Financial Economics, Elsevier, vol. 12(3), pages 301-313.
    5. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    6. Sheng-Yung Yang & Shuh-Chyi Doong, 2004. "Price and Volatility Spillovers between Stock Prices and Exchange Rates: Empirical Evidence from the G-7 Countries," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 3(2), pages 139-153, August.
    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. Laura Wallenius & Elena Fedorova & Sheraz Ahmed & Mikael Collan, 2017. "Surprise Effect of Euro Area Macroeconomic Announcements on CIVETS Stock Markets," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(1), pages 55-71.
    2. Gnagne, Pascal Xavier & Bonga-Bonga, Lumengo, 2020. "The Impact of Exchange Rate Volatility on the Security Markets in BRICS Economies," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(1), pages 21-50.
    3. Bonga-Bonga, Lumengo & Gnagne, Pascal Xavier, 2017. "The impact of exchange rate volatility on capital flows in BRICS economies," MPRA Paper 84773, University Library of Munich, Germany.
    4. Laura Wallenius & Elena Fedorova & Sheraz Ahmed & Mikael Collan, . "Surprise Effect of Euro Area Macroeconomic Announcements on CIVETS Stock Markets," Prague Economic Papers, University of Economics, Prague, vol. 0, pages 1-17.
    5. Andreou, Elena & Matsi, Maria & Savvides, Andreas, 2013. "Stock and foreign exchange market linkages in emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 248-268.
    6. Nishimura, Yusaku & Sun, Bianxia, 2018. "The intraday volatility spillover index approach and an application in the Brexit vote," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 241-253.
    7. Chng, Michael T., 2009. "Economic linkages across commodity futures: Hedging and trading implications," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 958-970, May.
    8. Jin, Xiaoye, 2015. "Volatility transmission and volatility impulse response functions among the Greater China stock markets," Journal of Asian Economics, Elsevier, vol. 39(C), pages 43-58.
    9. Frank J. Fabozzi & Radu Tunaru & Tony Wu, 2004. "Modeling Volatility for the Chinese Equity Markets," Annals of Economics and Finance, Society for AEF, vol. 5(1), pages 79-92, May.
    10. Gannon, Gerard L. & Thuraisamy, Kannan S., 2017. "Sovereign risk and the impact of crisis: Evidence from Latin AmericaAuthor-Name: Batten, Jonathan A," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 328-350.
    11. Brooks, Chris & Henry, Olan T., 2000. "Linear and non-linear transmission of equity return volatility: evidence from the US, Japan and Australia," Economic Modelling, Elsevier, vol. 17(4), pages 497-513, December.
    12. Baele, Lieven, 2005. "Volatility Spillover Effects in European Equity Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(2), pages 373-401, June.
    13. Ewing, Bradley T. & Malik, Farooq, 2005. "Re-examining the asymmetric predictability of conditional variances: The role of sudden changes in variance," Journal of Banking & Finance, Elsevier, vol. 29(10), pages 2655-2673, October.
    14. Hardik A. Marfatia, 2017. "A fresh look at integration of risks in the international stock markets: A wavelet approach," Review of Financial Economics, John Wiley & Sons, vol. 34(1), pages 33-49, September.
    15. Kiymaz, Halil & Berument, Hakan, 2003. "The day of the week effect on stock market volatility and volume: International evidence," Review of Financial Economics, Elsevier, vol. 12(4), pages 363-380.
    16. Angelopoulos, Jason & Sahoo, Satya & Visvikis, Ilias D., 2020. "Commodity and transportation economic market interactions revisited: New evidence from a dynamic factor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    17. Zoë Venter, 2020. "The Interaction Between Conventional Monetary Policy and Financial Stability: Chile, Colombia, Japan, Portugal and the UK," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 62(3), pages 521-554, September.
    18. 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.
    19. Gannon, Gerard, 2005. "Simultaneous volatility transmissions and spillover effects: U.S. and Hong Kong stock and futures markets," International Review of Financial Analysis, Elsevier, vol. 14(3), pages 326-336.
    20. Maghyereh, Aktham & Awartani, Basel & Abdoh, Hussein, 2022. "Asymmetric risk transfer in global equity markets: An extended sample that includes the COVID pandemic period," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).

    More about this item

    Keywords

    Stock market; Foreign exchange market; Volatility transmission; BEKK-GARCH-model;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:sgm:jbfeuw:v:1:y:2014:i:1:p:59-72. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/somuwpl.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.