• DocumentCode
    1850093
  • Title

    Subprime Mortgage Crisis Detection in U.S. Foreign Exchange Rate Market by Multifractal Analysis

  • Author

    Tang, Junjun ; Wang, Jing ; Huang, Cheng ; Wang, Guolun ; Wang, Xiong

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    2999
  • Lastpage
    3004
  • Abstract
    We apply multifractal methods to analyze the impact of American subprime mortgage crisis on American foreign exchange market. By analyzing the local Holder exponent alpha and the multifractal spectrum of Japanese Yen to U.S. Dollar (USD/JPY) exchange rate and Euro to U.S. Dollar (EUR/USD) exchange rate ticked every hour from late 2006 to early 2008, we find that the periods where critical events took place are characterized by sudden increase in alpha, which passes above 1, followed by very small values for long period of time. To observe the effect and future trend of the subprime mortgage crisis, we compare the multifractal spectrum before, and during the crisis. The width of f(alpha) during subprime mortgage crisis is much bigger than the one before the crisis. These results provide solid and important values for further study on the dynamic mechanism of exchange market price fluctuation.
  • Keywords
    exchange rates; mortgage processing; stock markets; US foreign exchange rate market; exchange market price fluctuation; multifractal analysis; subprime mortgage crisis detection; Computer science; Consumer electronics; Economic forecasting; Exchange rates; Fluctuations; Fractals; Loans and mortgages; Mathematics; Predictive models; Stock markets; Subprime mortgage crisis; foreign exchange market; local Hölder exponent; multifractal spectrum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3398-8
  • Electronic_ISBN
    978-0-7695-3398-8
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.454
  • Filename
    4709462