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Synchronization Model for Stock Market Asymmetry

Author

Listed:
  • Raul Donangelo
  • Mogens H. Jensen
  • Ingve Simonsen
  • Kim Sneppen

Abstract

The waiting time needed for a stock market index to undergo a given percentage change in its value is found to have an up-down asymmetry, which, surprisingly, is not observed for the individual stocks composing that index. To explain this, we introduce a market model consisting of randomly fluctuating stocks that occasionally synchronize their short term draw-downs. These synchronous events are parameterized by a ``fear factor'', that reflects the occurrence of dramatic external events which affect the financial market.

Suggested Citation

  • Raul Donangelo & Mogens H. Jensen & Ingve Simonsen & Kim Sneppen, 2006. "Synchronization Model for Stock Market Asymmetry," Papers physics/0604137, arXiv.org, revised Aug 2006.
  • Handle: RePEc:arx:papers:physics/0604137
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    File URL: http://arxiv.org/pdf/physics/0604137
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    Cited by:

    1. Johannes Vitalis Siven & Jeffrey Todd Lins & Jonas Lundbek Hansen, 2008. "A multiscale view on inverse statistics and gain/loss asymmetry in financial time series," Papers 0811.3122, arXiv.org.
    2. Kei Katahira & Yu Chen & Gaku Hashimoto & Hiroshi Okuda, 2019. "Development of an agent-based speculation game for higher reproducibility of financial stylized facts," Papers 1902.02040, arXiv.org.
    3. Johannes Vitalis Siven & Jeffrey Todd Lins, 2009. "Temporal structure and gain/loss asymmetry for real and artificial stock indices," Papers 0907.0554, arXiv.org.
    4. Katahira, Kei & Chen, Yu & Hashimoto, Gaku & Okuda, Hiroshi, 2019. "Development of an agent-based speculation game for higher reproducibility of financial stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 503-518.

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