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Prestigious stock exchanges: a network analysis of international financial centers

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Abstract

In this paper, we use methods from social network analysis to assess the relative importance of financial centers around the world. Using data from virtually the entire universe of global equity activity, we present two sets of complete rankings for up to forty-five separate locations for the 1990-2006 period. The first phase of our analysis evaluates international stock exchanges based on their ability to attract global initial public offerings (IPOs). The second phase compares the capacity of these exchanges to provide an efficient trading platform for cross-listed companies. U.S. exchanges are effectively the unique hosts for cross-border equity activity originating from many other locations. Moreover, they are the destination of choice for most companies coming from locations with highly prestigious exchanges. We find that, despite a diminished ability to attract cross-border IPOs, U.S. exchanges have maintained an undisputable lead in global equity activity throughout the entire sample period. We do find evidence of the rising importance of competing exchanges--in particular, the London Stock Exchange, the Deutsche Brse, and the Hong Kong Stock Exchange--and also of an expanding role for a number of emerging market stock exchanges. However, this rising pattern reflects improved competitive conditions in a growing global market rather than a sudden decline in the activity of U.S. exchanges.

Suggested Citation

  • Nicola Cetorelli & Stavros Peristiani, 2009. "Prestigious stock exchanges: a network analysis of international financial centers," Staff Reports 384, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:384
    Note: For a published version of this report, see Nicola Cetorelli and Stavros Peristiani, "Prestigious Stock Exchanges: A Network Analysis of International Financial Centers," Journal of Banking and Finance 37, no. 5 (May 2013): 1543-51.
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    Cited by:

    1. Valentina Feroldi & Edoardo Gaffeo, 2014. "At the Core of the International Financial System," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 14(2), pages 163-188, June.
    2. Elisa Cavezzali & Jacopo Crepaldi & Ugo Rigoni, 2014. "Proximity to hubs of expertise and financial analyst forecast accuracy," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 157-179, December.
    3. Roland Füss & Daniel Ruf, 2018. "Office Market Interconnectedness and Systemic Risk Exposure," Working Papers on Finance 1830, University of St. Gallen, School of Finance.
    4. Anna Maria D’Arcangelis & Giulia Rotundo, 2016. "Complex Networks in Finance," Lecture Notes in Economics and Mathematical Systems, in: Pasquale Commendatore & Mariano Matilla-García & Luis M. Varela & Jose S. Cánovas (ed.), Complex Networks and Dynamics, pages 209-235, Springer.
    5. Cheng, Lian & Luo, Junru & Liu, Lin, 2018. "Is Renminbi a (Truly) International Currency? An Evaluation Based on Offshore Foreign Exchange Market Trading Patterns," MPRA Paper 89279, University Library of Munich, Germany.
    6. Oana Mionel & Viorel Mionel & Cristina Mihaescu, 2014. "The Role of Urban Financial Centers within the Economy of Global Cities," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 3(3), pages 155-168, June.
    7. Andrikopoulos, Andreas & Economou, Labriana, 2016. "Coauthorship and subauthorship patterns in financial economics," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 12-19.
    8. Füss, Roland & Ruf, Daniel, 2021. "Bank systemic risk exposure and office market interconnectedness," Journal of Banking & Finance, Elsevier, vol. 133(C).
    9. Miyakoshi, Tatsuyoshi & Shimada, Junji & Li, Kui-Wai, 2023. "A network analysis on country and financial center attractiveness: Evidence from Asian economies, 2001–2018," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 418-432.
    10. Daeyup Lee & Hail Park, 2019. "Measuring Global Financial Linkages: A Network Entropy Approach," Sustainability, MDPI, vol. 11(17), pages 1-10, August.
    11. Nicola Cetorelli & Stavros Peristiani, 2015. "Firm Value and Cross Listings: The Impact of Stock Market Prestige," JRFM, MDPI, vol. 8(1), pages 1-31, March.
    12. Zhu, Sheng & Gao, Jun & Sherman, Meadhbh, 2020. "The role of future economic conditions in the cross-section of stock returns: Evidence from the US and UK," Research in International Business and Finance, Elsevier, vol. 52(C).
    13. Yong Tang & Jason Jie Xiong & Zi-Yang Jia & Yi-Cheng Zhang, 2018. "Complexities in Financial Network Topological Dynamics: Modeling of Emerging and Developed Stock Markets," Complexity, Hindawi, vol. 2018, pages 1-31, November.
    14. Hu, Fei & Zhao, Shangmei & Bing, Tao & Chang, Yiming, 2017. "Hierarchy in industrial structure: The cases of China and the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 871-882.
    15. Morad, Shahidah Nailul & Masih, Mansur, 2015. "Islamic REIT response to macroeconomic factors: a markov regime switching auto regressive approach," MPRA Paper 65237, University Library of Munich, Germany.
    16. Bu, Hui & Tang, Wenjin & Wu, Junjie, 2019. "Time-varying comovement and changes of comovement structure in the Chinese stock market: A causal network method," Economic Modelling, Elsevier, vol. 81(C), pages 181-204.

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    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F39 - International Economics - - International Finance - - - Other
    • G19 - Financial Economics - - General Financial Markets - - - Other

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