The Application of Log-Periodicity Theory in Forecasting Financial Crashes
DOI:
https://doi.org/10.18778/2391-6478.1.1.02Keywords:
financial market efficiency, technical analysis, log-periodicity theory, financial crash, fractal analysisAbstract
The main purpose of this article is to apply the newest forecast methods of financial crashes based on fractal analysis. The article includes short review of log-periodicity formulas and the research which shows the forecasting efficiency of these formulas referring to extremely different (in the size, development etc.) financial markets. Considerations refer to following problem: share price trajectories contain certain log-periodicity patterns which indicate the lack of share market efficiency. This problem is also induced by specific investor’s behavior. This behavior in combination with speculators activities are the main reasons of creating bubbles and financial crashes.
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Dróżdż S. i in., 2008, Log-periodic self-similarity: An emerging financial law?, Elsevier Science, Kraków, http://arxiv.org/pdf/cond-mat/0209591v2.pdf [data dostępu: 06.06.2012].
Dróżdż S., Bartolozzi M. i in., 2008, Self-Similar Log-Periodic Structures in Western Stock Markets from 2000, APS, Kraków, http://arxiv.org/pdf/cond-mat/0501513v4.pdf [data dostępu: 06.06.2012].
Dróżdż S., Grummer F., Ruf F., Speth J., 2005, Prediction oriented variant of financial log-periodicity and speculating about the stock market development until 2010, Polish Academy of Sciences, Kraków.
Dróżdż S., Oświęcimka P., 2009, World stock market: More sizeable trend reversal likely in February/March 2010, Institute of Nuclear Physics, Kraków.
Dróżdż S., Oświęcimka P., Kwapień J., 2008, Criticality Characteristics of Current Oil Price Dynamics, „Acta Physica Polonica A”, vol. 114, Kraków. DOI: https://doi.org/10.12693/APhysPolA.114.699
Dróżdż S., Ruf F. i in., 2008, Imprints of log-periodic sel-similarity in the stock market, Institute of Nuclear Physics, Kraków.
Gnaciński P., Makowiec D., 2004, Another type of log-periodic oscillations on Polish stock market, „Physica A”, nr 344. DOI: https://doi.org/10.1016/j.physa.2004.06.143
Ide K., Sornette D., 2002, Oscillatory finite-time singularieties in finance, population and rupture, „Physica A”, nr 307. DOI: https://doi.org/10.1016/S0378-4371(01)00585-4
Oświęcimka P., Dróżdż S., Kwapień J., Górski A. Z., 2009, Fractals, log-periodicity, financial crashes, „Acta Psysica Polonica A”, Rzeszów. DOI: https://doi.org/10.12693/APhysPolA.117.637
Sornette D., 2003, Why stock markets crash, Princeton University Press, Princeton.
Sornette D., Johansen A., 2001, Significane of log-periodic precursors to financial crashes, „Quantitative Finance”, no. 1. DOI: https://doi.org/10.2139/ssrn.274968
Sornette D., Zhou W.X., 2002, The US 2000–2002 Market Descent: How much longer and deeper?, Los Angeles. DOI: https://doi.org/10.1088/1469-7688/2/6/306
Vandewalle N. i in., 1999, Visualizing the log-periodic pattern before crashes, „The European Physical Journal B”, Liege. DOI: https://doi.org/10.1007/s100510050775
Vandewalle N., Ausloos M., Bouveroux Ph., Minguet A., 1998, How the financial crash of October 1997 could have been predicted, „The European Physisca l Journal B”, no. 2. DOI: https://doi.org/10.1007/s100510050361
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