IDEAS home Printed from https://ideas.repec.org/p/zbw/ifwedp/6162.html

Asymmetry and Spillover Effects in the North American Equity Markets

Author

Listed:
  • Canarella, Giorgio
  • Sapra, Sunil K.
  • Pollard, Stephen K.

Abstract

In this paper we extend the standard shock spillover model of Bekaert and Harvey (1997), Baele (2003) and Ng (2000) to account for asymmetries of return and volatility spillover effects from the US equity market into Canada and Mexico. Unlike previous research, we model the conditional volatility of the returns in each of the three markets using the asymmetric power model of Ding, Granger and Engle (1993). The empirical results indicate that volatility spillover effects, but not mean spillover effects, exhibit an asymmetric behavior, with negative shocks from the US equity market impacting on the conditional volatility of the Canadian and Mexican equity markets more deeply than positive shocks.

Suggested Citation

  • Canarella, Giorgio & Sapra, Sunil K. & Pollard, Stephen K., 2007. "Asymmetry and Spillover Effects in the North American Equity Markets," Economics Discussion Papers 2007-35, Kiel Institute for the World Economy.
    • Handle: RePEc:zbw:ifwedp:6162
    as

    Download full text from publisher

    File URL: http://www.economics-ejournal.org/economics/discussionpapers/2007-35
    Download Restriction: no
    File URL: https://www.econstor.eu/bitstream/10419/17958/1/dp2007-35.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Huang, Wei-Qiang & Wang, Dan, 2018. "A return spillover network perspective analysis of Chinese financial institutions’ systemic importance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 405-421.
    2. Galin Todorov & Prasad Bidarkota, 2013. "On international financial spillovers to frontier markets," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 5(4), pages 433-452.
    3. Arturo Lorenzo Valdés & Rocío Durán Vázquez & Leticia Armenta Fraire, 2012. "Conditional Correlation Between Oil and Stock Market Returns: The Case of Mexico," Remef - The Mexican Journal of Economics and Finance, Instituto Mexicano de Ejecutivos de Finanzas. Remef, October.
    4. Li, Yanshuang & Zhuang, Xintian & Wang, Jian & Zhang, Weiping, 2020. "Analysis of the impact of Sino-US trade friction on China’s stock market based on complex networks," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    5. Libo Yin & Liyan Han, 2013. "Exogenous Shocks and Information Transmission in Global Copper Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(8), pages 724-751, August.
    6. Arturo Lorenzo Valdés & Rocío Durán Vázquez & Leticia Armenta Fraire, 2012. "Conditional Correlation Between Oil and Stock Market Returns: The Case of Mexico," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 7(1), pages 49-63, Enero-Jun.
    7. Christian Camilo Neira Mendieta Oscar Yesid Soto Suárez, 2011. "Canadá: Una Visión Macroeconómica 2002-2006," Revista Isocuanta, Universidad Santo Tomás, vol. 0(0), pages 1-17.
    8. Huang, Wei-Qiang & Wang, Dan, 2018. "Systemic importance analysis of chinese financial institutions based on volatility spillover network," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 19-30.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • 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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:ifwedp:6162. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwkiede.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.