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A spatial analysis of international stock market linkages

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Abstract

We employ spatial econometrics techniques to investigate to what extentcountries’ economic and geographical relations affect their stock market comovements.We propose an econometric model that is particularly suitable for financial data, where common time trends prevail. In general, among the relations that we analyze, bilateral trade and exchange rate stability prove to be best suited to capture return co-variations. An analysis of three regionally dominant countries shows that bilateral trade is the most important relation regarding the transmission of shocks from the US and Japan to other countries, whereas the UK affects mostly its geographical neighbors.

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  • Asgharian, Hossein & Hess, Wolfgang & Liu, Lu, 2013. "A spatial analysis of international stock market linkages," Knut Wicksell Working Paper Series 2013/3, Lund University, Knut Wicksell Centre for Financial Studies.
  • Handle: RePEc:hhs:luwick:2013_003
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    Cited by:

    1. Tasadduq Imam & Kevin Tickle & Abdullahi Ahmed & William Guo, 2012. "Linear Relationship Between The Aud/Usd Exchange Rate And The Respective Stock Market Indices: A Computational Finance Perspective," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 19-42, January.
    2. Larry Filer & David D. Selover, 2014. "Why Can Weak Linkages Cause International Stock Market Synchronization? The Mode-Locking Effect," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(3), pages 20-42, July.
    3. Leopoldo Catania & Anna Gloria Billé, 2017. "Dynamic spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1178-1196, September.
    4. Elzbieta Szulc & Dagna Wleklinska & Karolina Gorna & Joanna Gorna, 2014. "The significance of distance between stock exchanges undergoing the process of convergence: An analysis of selected world stock exchanges during the period of 2004-2012," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 125-144.
    5. Tam, Pui Sun, 2014. "A spatial–temporal analysis of East Asian equity market linkages," Journal of Comparative Economics, Elsevier, vol. 42(2), pages 304-327.
    6. Cousin, Areski & Maatouk, Hassan & Rullière, Didier, 2016. "Kriging of financial term-structures," European Journal of Operational Research, Elsevier, vol. 255(2), pages 631-648.
    7. Blasques, Francisco & Koopman, Siem Jan & Lucas, Andre & Schaumburg, Julia, 2016. "Spillover dynamics for systemic risk measurement using spatial financial time series models," Journal of Econometrics, Elsevier, vol. 195(2), pages 211-223.
    8. repec:bpj:jossai:v:3:y:2015:i:5:p:463-471:n:7 is not listed on IDEAS
    9. Elzbieta Szulc & Dagna Wleklinska, 2015. "Spatio-temporal Analysis of Convergence of Development Level of Selected Stock Exchanges in the Period of 2004–2012," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 5-26.
    10. Billio, Monica & Caporin, Massimiliano & Panzica, Roberto Calogero & Pelizzon, Loriana, 2017. "The impact of network connectivity on factor exposures, asset pricing and portfolio diversification," SAFE Working Paper Series 166, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    11. Milcheva, Stanimira & Zhu, Bing, 2016. "Bank integration and co-movements across housing markets," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 148-171.
    12. Cousin, Areski & Maatouk, Hassan & Rullière, Didier, 2016. "Kriging of financial term-structures," European Journal of Operational Research, Elsevier, vol. 255(2), pages 631-648.
    13. Asgharian, Hossein & Liu, Lu & Larsson, Marcus, 2015. "Cross-Border Asset Holdings and Comovements in Sovereign Bond Markets," Working Papers 2015:30, Lund University, Department of Economics.
    14. repec:eee:glofin:v:33:y:2017:i:c:p:51-68 is not listed on IDEAS
    15. Matthias Arnold & Sebastian Stahlberg & Dominik Wied, 2013. "Modeling different kinds of spatial dependence in stock returns," Empirical Economics, Springer, vol. 44(2), pages 761-774, April.

    More about this item

    Keywords

    Financial and economic integration; stock market co-movements; spatial econometrics; feedback effects;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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