Log-periodic self-similarity: an emerging financial law?
Abstract
A hypothesis that the financial log-periodicity, cascading self-similarly through various time scales, carries signatures of a law is pursued. It is shown that the most significant historical financial events can be classified amazingly well using a single and unique value of the preferred scaling factor λ=2, which indicates that its real value should be close to this number. This applies even to a declining decelerating log-periodic phase. Crucial in this connection is identification of a “super-bubble” (bubble on bubble) phenomenon. Identifying a potential “universal” preferred scaling factor, as undertaken here, may significantly improve the predictive power of the corresponding methodology. Several more specific related results include evidence that: the real end of the high technology bubble on the stock market started (with a decelerating log-periodic draw down) in the beginning of September 2000;
a parallel 2000-2002 decline seen in the Standard & Poor's 500 from the log-periodic perspective is already of the same significance as the one of the early 1930s and of the late 1970s; all this points to a much more serious global crash in around 2025, of course from a level much higher (at least one order of magnitude) than in 2000.- Publication:
-
Physica A Statistical Mechanics and its Applications
- Pub Date:
- June 2003
- DOI:
- 10.1016/S0378-4371(02)01848-4
- arXiv:
- arXiv:cond-mat/0209591
- Bibcode:
- 2003PhyA..324..174D
- Keywords:
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- Condensed Matter - Statistical Mechanics;
- Nonlinear Sciences - Adaptation and Self-Organizing Systems;
- Quantitative Finance - Statistical Finance
- E-Print:
- Talk given by S. Drozdz at International Econophysics Conference, Bali, August 28-31, 2002