Can one make any crash prediction in finance using the local Hurst exponent idea

By D. Grech, Z. Mazur. 2003

245 citations recorded by the source corpus.

We apply the Hurst exponent idea for investigation of DJIA index time-series data. The behavior of the local Hurst exponent prior to drastic changes in financial series signal is analyzed. The optimal length of the time-window over which this exponent can be calculated in order to make some meaningful predictions is discussed. Our prediction hypothesis is verified with examples of 1929 and 1987 crashes, as well as with more recent phenomena in stock market from the period 1995 to 2003. Some interesting agreements are found.

Subfields: Economics and Econometrics, Finance, Signal Processing

View Paper: https://www.semanticscholar.org/paper/66f88016f7b8b2cbcde3a712bc2cb3aa1943d77c

How researchers see this paper

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In Economics and Econometrics

  1. Ladislav Kristoufek
  2. Luciano Zunino
  3. Osvaldo Anibal Rosso
  4. D. Pérez
  5. Massimiliano Zanin
  6. Jozef Baruník
  7. Benjamin Miranda Tabak
  8. Miloslav S. Vosvrda

In Finance

  1. Ladislav Kristoufek
  2. Luciano Zunino
  3. D. Pérez
  4. Osvaldo Anibal Rosso
  5. Massimiliano Zanin
  6. Jozef Baruník
  7. Benjamin Miranda Tabak
  8. Miloslav S. Vosvrda

In Signal Processing

  1. Luciano Zunino
  2. Jozef Baruník
  3. Benjamin Miranda Tabak
  4. Ladislav Kristoufek
  5. Osvaldo Anibal Rosso
  6. Eduard Baumöhl

Citations in the corpus