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Spatial Linkages in International Financial Markets

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  • Viviana Fernández

Abstract

Spatial dependency has been broadly studied in several research areas, such as environmental criminology, economic geography, environmental sciences, and urban economics. However, it has been essentially overlooked in other subfields of economics and in the field of finance as a whole. A key element at stake is the definition of contiguity. In the context of financial markets, defining a metric distance is not a simple matter. In this article, we explore the notion of spatial dependency in a panel of 126 Latin American firms from Brazil, Chile, and Mexico over the period 1997-2006. Firstly, we formulate a spatial version of the capital asset pricing model (S-CAPM), which accounts for alternative measures of distance between firms, such as market capitalization, the market-to-book, enterprise value-to-EBITDA, and the debt ratios. Secondly, we analyze the potential existence of spatial linkages in investment and dividend decisions. We conclude that there may be contemporaneous linkages in firms’ decisions of such ratios, which may be indicative of some strategic behavior.

Suggested Citation

  • Viviana Fernández, 2007. "Spatial Linkages in International Financial Markets," The Institute for International Integration Studies Discussion Paper Series iiisdp234, IIIS.
  • Handle: RePEc:iis:dispap:iiisdp234
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    References listed on IDEAS

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    1. Varouj A. Aivazian & Ying Ge & Jiaping Qiu, 2005. "Debt Maturity Structure and Firm Investment," Financial Management, Financial Management Association, vol. 34(4), Winter.
    2. Oscar Villar & Esther Vayá, 2005. "Financial Contagion between Economies - an Exploratory Spatial Analysis," ERSA conference papers ersa05p574, European Regional Science Association.
    3. Aivazian, Varouj A. & Ge, Ying & Qiu, Jiaping, 2005. "The impact of leverage on firm investment: Canadian evidence," Journal of Corporate Finance, Elsevier, vol. 11(1-2), pages 277-291, March.
    4. Stephen C. Vogt, 1994. "The Cash Flow/investment Relationship: Evidence from U.S. Manufacturing Firms," Financial Management, Financial Management Association, vol. 23(2), Summer.
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    Cited by:

    1. Asgharian, Hossein & Hess, Wolfgang & Liu, Lu, 2013. "A spatial analysis of international stock market linkages," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4738-4754.
    2. Keiler, Sebastian & Eder, Armin, 2013. "CDS spreads and systemic risk: A spatial econometric approach," Discussion Papers 01/2013, Deutsche Bundesbank.
    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. 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.
    5. Mate-Sanchez, Mariluz & López Hernández, Fernando A. & Lacambra, Jesus Mur, 2012. "Analyzing long-term average adjustment of financial ratios with spatial interactions," Economic Modelling, Elsevier, vol. 29(4), pages 1370-1376.
    6. 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.
    7. repec:bpj:jossai:v:3:y:2015:i:5:p:463-471:n:7 is not listed on IDEAS
    8. 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.
    9. Gong, Pu & Weng, Yingliang, 2016. "Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 173-191.
    10. 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.
    11. repec:aen:journl:ej38-5-haldru is not listed on IDEAS
    12. Girum Dagnachew Abate & Niels Haldrup, 2017. "Space-time modeling of electricity spot prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).

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