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Indeterminacy in foreign exchange market

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  • Michele Pasquini

    (I.N.F.M. and Dip. di Matematica, Universit\`a dell'Aquila, Italy)

  • Maurizio Serva

    (I.N.F.M. and Dip. di Matematica, Universit\`a dell'Aquila, Italy)

Abstract

We discuss price variations distributions in foreign exchange markets, characterizing them both in calendar and business time frameworks. The price dynamics is found to be the result of two distinct processes, a multi-variance diffusion and an error process. The presence of the latter, which dominates at short time scales, leads to indeterminacy principle in finance. Furthermore, dynamics does not allow for a scheme based on independent probability distributions, since volatility exhibits a strong correlation even at the shortest time scales.

Suggested Citation

  • Michele Pasquini & Maurizio Serva, 1999. "Indeterminacy in foreign exchange market," Papers cond-mat/9906343, arXiv.org.
    • Handle: RePEc:arx:papers:cond-mat/9906343
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    1. Baillie, Richard T & Bollerslev, Tim, 1994. "The long memory of the forward premium," Journal of International Money and Finance, Elsevier, vol. 13(5), pages 565-571, October.
    2. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    3. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June.
    4. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    5. Crato, Nuno & de Lima, Pedro J. F., 1994. "Long-range dependence in the conditional variance of stock returns," Economics Letters, Elsevier, vol. 45(3), pages 281-285.
    6. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    7. De Jong, Frank & Mahieu, Ronald & Schotman, Peter, 1998. "Price discovery in the foreign exchange market: an empirical analysis of the yen/dmark rate1, 2," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 5-27, February.
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