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Whispers of Chaos: Intervention on the Mexican Dollar Quotes in Japan, 1869-1885

Author

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  • Yokoyama, Kazuki

Abstract

In the 19th century, Japan was one of the nations where the Mexican dollar had a lasting presence. The Meiji government introduced the yen as a new domestic currency during the 1870s and began tightening regulations on yogin trading, which involved the foreign exchange of Mexican and Japanese silver currencies. The statistical evidence provided in this paper illustrates that the risk of yogin trading saw a substantial rose as a result of the intensified intervention by the Meiji government. The policies to control yogin quotes proved to be unsuccessful. The prioritization of financial security led to a policy intervention characterized by inconsistency, enabling the reintroduction of speculative transactions that had been banned earlier.

Suggested Citation

  • Yokoyama, Kazuki, 2023. "Whispers of Chaos: Intervention on the Mexican Dollar Quotes in Japan, 1869-1885," MPRA Paper 118586, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:118586
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    File URL: https://mpra.ub.uni-muenchen.de/118586/1/DPyokoyama_September2023.pdf
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    References listed on IDEAS

    as
    1. Carlos Alfredo Rodríguez, 1993. "Money and Credit Under Currency Substitution," IMF Staff Papers, Palgrave Macmillan, vol. 40(2), pages 414-426, June.
    2. Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
    3. Benigno, Pierpaolo & Schilling, Linda M. & Uhlig, Harald, 2022. "Cryptocurrencies, currency competition, and the impossible trinity," Journal of International Economics, Elsevier, vol. 136(C).
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    6. Mr. Gene L. Leon & Mr. Rupert D Worrell, 2001. "Price Volatility and Financial Instability," IMF Working Papers 2001/060, International Monetary Fund.
    7. Marmora, Paul, 2021. "Currency substitution in the shadow economy: International panel evidence using local Bitcoin trade volume," Economics Letters, Elsevier, vol. 205(C).
    8. Jeffrey Chu & Stephen Chan & Saralees Nadarajah & Joerg Osterrieder, 2017. "GARCH Modelling of Cryptocurrencies," JRFM, MDPI, vol. 10(4), pages 1-15, October.
    9. Bojanic, Antonio N., 2011. "Final Years of the Silver Standard in Mexico: Evidence of Purchasing Power Parity with The United States," MPRA Paper 45535, University Library of Munich, Germany, revised 27 Jul 2011.
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    More about this item

    Keywords

    yogin trading; speculation; intervention.;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • N25 - Economic History - - Financial Markets and Institutions - - - Asia including Middle East

    NEP fields

    This paper has been announced in the following NEP Reports:

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