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Econonatology: the physics of the economy in labour

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  • Struzik, Zbigniew R.

Abstract

A fear of crashes preoccupies stock market observers, both investors and economic decision makers (governments, banks). This is reflected in major efforts to predict future stock values. However, an economic system under prolonged stress may have in its nature to plunge to lower performance levels but recover without suffering damage. To support this claim, we draw parallels between two complex systems: that of the heart, as observed through the rate of heartbeat, and the economy, measured by the stock index record. The ultimate stress situation of fetal heartbeat during labour provides a conceptual basis for accommodating heavy crashes. It also suggests a different perspective for evaluating crashes and post crash recovery in order to diagnose, and (ultimately) prognose, ‘economic health’, in addition to monitoring the stock index value.

Suggested Citation

  • Struzik, Zbigniew R., 2003. "Econonatology: the physics of the economy in labour," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 344-351.
    • Handle: RePEc:eee:phsmap:v:324:y:2003:i:1:p:344-351
    DOI: 10.1016/S0378-4371(02)01894-0
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    References listed on IDEAS

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    1. D. Sornette & A. Johansen, 2001. "Significance of log-periodic precursors to financial crashes," Quantitative Finance, Taylor & Francis Journals, vol. 1(4), pages 452-471.
    2. Marc-Etienne Brachet & Erik Taflin & Jean Marcel Tcheou, 1999. "Scaling transformation and probability distributions for financial time series," Papers cond-mat/9905169, arXiv.org.
    3. Anders Johansen & Didier Sornette, 2000. "Evaluation Of The Quantitative Prediction Of A Trend Reversal On The Japanese Stock Market In 1999," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 359-364.
    4. Vandewalle, N. & Boveroux, Ph. & Minguet, A. & Ausloos, M., 1998. "The crash of October 1987 seen as a phase transition: amplitude and universality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 255(1), pages 201-210.
    5. D. Sornette & A. Johansen, 2001. "Significance of log-periodic precursors to financial crashes," Papers cond-mat/0106520, arXiv.org.
    6. A. Johansen & D. Sornette, 1998. "Stock market crashes are outliers," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 1(2), pages 141-143, January.
    7. Struzik, Zbigniew R. & van Wijngaarden, Willem J. & Castelo, Robert, 2002. "Reasoning from non-stationarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 246-255.
    8. Struzik, Zbigniew R., 2001. "Wavelet methods in (financial) time-series processing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 296(1), pages 307-319.
    9. Marc-Etienne BRACHET & Erik TAFLIN & Jean Marcel TCHEOU, 1999. "Scaling transformation and probability distributions for financial time series," GE, Growth, Math methods 9901003, University Library of Munich, Germany.
    10. Plamen Ch. Ivanov & Luís A. Nunes Amaral & Ary L. Goldberger & Shlomo Havlin & Michael G. Rosenblum & Zbigniew R. Struzik & H. Eugene Stanley, 1999. "Multifractality in human heartbeat dynamics," Nature, Nature, vol. 399(6735), pages 461-465, June.
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