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Looking into informal currency markets as Limit Order Books: impact of market makers

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Listed:
  • Alejandro Garc'ia Figal
  • Alejandro Lage Castellanos
  • Roberto Mulet

Abstract

This study pioneers the application of the market microstructure framework to an informal financial market. By scraping data from websites and social media about the Cuban informal currency market, we model the dynamics of bid/ask intentions using a Limit Order Book (LOB). This approach enables us to study key characteristics such as liquidity, stability and volume profiles. We continue exploiting the Avellaneda-Stoikov model to explore the impact of introducing a Market Maker (MM) into this informal setting, assessing its influence on the market structure and the bid/ask dynamics. We show that the Market Maker improves the quality of the market. Beyond their academic significance, we believe that our findings are relevant for policymakers seeking to intervene informal markets with limited resources.

Suggested Citation

  • Alejandro Garc'ia Figal & Alejandro Lage Castellanos & Roberto Mulet, 2025. "Looking into informal currency markets as Limit Order Books: impact of market makers," Papers 2503.03858, arXiv.org.
    • Handle: RePEc:arx:papers:2503.03858
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    References listed on IDEAS

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    1. Louis Saddier & Matteo Marsili, 2023. "A Bayesian theory of market impact," Papers 2303.08867, arXiv.org, revised May 2024.
    2. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    3. Reinganum, Marc R., 1990. "Market microstructure and asset pricing : An empirical investigation of NYSE and NASDAQ securities," Journal of Financial Economics, Elsevier, vol. 28(1-2), pages 127-147.
    4. Mizrach, Bruce & Otsubo, Yoichi, 2014. "The market microstructure of the European climate exchange," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 107-116.
    5. Venkataraman, Kumar & Waisburd, Andrew C., 2007. "The Value of the Designated Market Maker," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(3), pages 735-758, September.
    6. Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Quantitative Finance, Taylor & Francis Journals, vol. 2(4), pages 251-256.
    7. Dominguez, Kathryn M. E., 2003. "The market microstructure of central bank intervention," Journal of International Economics, Elsevier, vol. 59(1), pages 25-45, January.
    8. Ho, Thomas & Stoll, Hans R., 1981. "Optimal dealer pricing under transactions and return uncertainty," Journal of Financial Economics, Elsevier, vol. 9(1), pages 47-73, March.
    9. Marco Avellaneda & Sasha Stoikov, 2008. "High-frequency trading in a limit order book," Quantitative Finance, Taylor & Francis Journals, vol. 8(3), pages 217-224.
    10. Parameswaran Gopikrishnan & Vasiliki Plerou & Xavier Gabaix & H. Eugene Stanley, 2000. "Statistical Properties of Share Volume Traded in Financial Markets," Papers cond-mat/0008113, arXiv.org.
    11. Klock, Mark & McCormick, D Timothy, 1999. "The Impact of Market Maker Competition on Nasdaq Spreads," The Financial Review, Eastern Finance Association, vol. 34(4), pages 55-73, November.
    12. Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Science & Finance (CFM) working paper archive 0203511, Science & Finance, Capital Fund Management.
    13. Muscarella, Chris J. & Piwowar, Michael S., 2001. "Market microstructure and securities values: : Evidence from the Paris Bourse," Journal of Financial Markets, Elsevier, vol. 4(3), pages 209-229, June.
    14. Anand, Amber & Venkataraman, Kumar, 2016. "Market conditions, fragility, and the economics of market making," Journal of Financial Economics, Elsevier, vol. 121(2), pages 327-349.
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