SOC model; technical analysis; large financial crashes
Abstract :
[en] Technical analysis (TA) has been used for a long time before the availability of more sophisticated instruments for financial forecasting in order to suggest decisions on the basis of the occurrence of data patterns. Many mathematical and statistical tools for quantitative analysis of financial markets have experienced a fast and wide growth and have the power for overcoming classical TA methods. This paper aims to give a measure of the reliability of some information used in TA by exploring the probability of their occurrence within a particular microeconomic agent-based model of markets, i.e., the co-evolution Bak-Sneppen model originally invented for describing species population evolutions. After having proved the practical interest of such a model in describing financial index so-called avalanches, in the prebursting bubble time rise, the attention focuses on the occurrence of trend line detection crossing of meaningful barriers, those that give rise to some usual TA strategies. The case of the NASDAQ crash of April 2000 serves as an illustration. (c) 2006 Elsevier B.V. All rights reserved.
Disciplines :
Physics
Author, co-author :
Rotundo, G.
Ausloos, Marcel ; Université de Liège - ULiège > Département de physique > Physique statistique appliquée et des matériaux
Language :
English
Title :
Microeconomic co-evolution model for financial technical analysis signals
Publication date :
01 January 2007
Journal title :
Physica A. Statistical Mechanics and its Applications
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Bibliography
Bollerslev T., and Mikkelsen H.O. J. Econometrics 73 (1996) 151-184
Breidt F.J., Crato N., and De Lima P. J. Econometrics 83 (1998) 325-348
Cont R., and da Fonseca J. In: Takayasu H. (Ed). Empirical Science of Financial Fluctuation (2002), Springer, Tokyo 230-239
Lo A.W. Econometrica 59 (1991) 1279-1313
Ding Z., Engle R.F., and Granger C.W.J. J. Empir. Fin. 1 (1993) 83-106
Ding Z., and Granger C.W.J. J. Econometrics 73 (1996) 61-77
Ding Z., and Granger C.W.J. J. Econometrics 73 (1996) 185-215
Sornette D., and Helmstetter A. Phys. Rev. Lett. 89 (2002) 158501-158504
Ausloos M., and Vandervalle N. In: Novak M.M. (Ed). Fractals and Beyond, Complexity in the Sciences (1998), World Scientific, Singapore 355-356
Mandelbrot B.B., and Van Ness J.W. SIAM Rev. 10 (1968) 422-437
Granger C.W.J. J. Econometrics 14 (1980) 227-238
Granger C.W.J., and Yoyeux R. J. Time Series Anal. 1 (1980) 15-29
Krawiecki A., and Holyst J.A. Physica A 317 (2003) 597-608
M. Lippi, P. Zaffaroni, Contemporaneous aggregation of linear dynamic models in large economies, Manuscript, Research Department, Bank of Italy, 1999.
P. Zaffaroni, Contemporaneous aggregation of GARCH processes, 1999, preprint.
P. Zaffaroni, Aggregation and memory of models of changing volatility, 2001, preprint.
D. Blake, Financial Market Analysis, second ed., Wiley, Chichester, 2000, p. 455.
Cerqueti R., and Rotundo G. Proceedings of IEEE International Conference on Computational Intelligence for Financial Engineering (CIFEr2003). Hong Kong (20-23 March, 2003)
Kirman A. In: Taylor M. (Ed). Money and Financial Markets (1991), Macmillan, London (Chapter 17)
Kirman A. Quarterly J. Econ. 108 (1993) 137-156
A.P. Kirman, G. Teyssiére, Microeconomic models for long-memory in the volatility of financial time series, GREQAM DT 00A3, 2000, preprint.
J.-P. Fouque, G. Papanicolaou, K.R. Sircar, Mean-reverting stochastic volatility, November 1998, preprint. See also 〈http://www.puc-rio.br/marco.ind/revers.html〉.
Murphy J.J. Technical Analysis of the Futures Markets (1986), Prentice-Hall, New York
Ausloos M., Ivanova K., and Vandervalle N. In: Takayasu H. (Ed). Empirical Sciences of Financial Fluctuations, The Advent of Econophysics (2002), Springer, Berlin 62-76
Johansen A., Ledoit O., and Sornette D. Int. J. Theory Appl. Finance 3 (2000) 219-255
Johansen A., and Sornette D. Eur. Phys. J. B 17 (2000) 319-328
Vandervalle N., Ausloos M., Boveroux Ph., and Minguet A. Eur. Phys. J. B 4 (1998) 139-141
Vandervalle N., Boveroux Ph., Minguet A., and Ausloos M. Physica A 255 (1998) 201-210
Andersen J.V., Gluzman S., and Sornette D. Eur. J. Phys. B 14 (2000) 579-601
Bak P., and Sneppen K. Phys. Rev. Lett. 71 (1993) 4083-4086
A. Johansen, D. Sornette, Endogenous versus Exogenous Crashes in Financial Markets, Contemporary Issues in International Finance, 2004, in press.
Johansen A., and Sornette D. Int. J. Theory Appl. Finance 4 (2001) 853-920
Zhou W.X., and Sornette D. Physica A 329 (2003) 249-263
Fama E.F. J. Business 8 (1965) 1
Rotundo G. In: Ausloos M., and Dirickx M. (Eds). The Logistic Map and the Route to Chaos: From the Beginning to Modern Applications (2006), Springer, Berlin 239-258
Drozdz S., Ruf F., Speth J., and Wojcik M. Eur. Phys. J. B 10 (1999) 589-593
Feigenbaum J.A., and Freund P.G.O. Int. J. Mod. Phys. B 10 (1996) 3737-3745
Kaizoji T. Physica A 287 (2000) 493-506
Vandervalle N., D'hulst R., and Ausloos M. Phys. Rev. E 59 (1999) 631-635
Ausloos M. In: Klonowski W. (Ed). From Quanta to Societies (2002), Pabst, Lengerich 88-106
Chen Z., Ivanov P.Ch., Hu K., and Stanley H.E. Phys. Rev. E 65 (2002) 04110715
Hu K., Ivanov P.Ch., Chen Z., Carpena P., and Stanley H.E. Phys. Rev. E 64 (2001) 011114
Ding M., and Yang W. Phys. Rev. E 52 (1995) 207-213
Rangarajan G., and Ding M. Phys. Lett. A 273 (2000) 322-330
Ray T.S., and Jan N. Phys. Rev. Lett. 72 (1994) 4045
Sneppen K. Physica A 221 (1995) 168-179
Guzzetti F., Malamud B.D., Turcotte D.L., and Reichenbach P. Earth Planet. Sci. Lett. 195 (2002) 169-183
Ito K. Phys. Rev. E 52 (1995) 3232-3233
F. Lillo, R.N. Mantegna, Power law relaxation in a complex system: Omori law after a financial market crash, preprint.
Krause A. Complex Systems 2002. Complexity with Agentbased Modeling. In: Namatame A., Green D., Aruka Y., and Sato H. (Eds). Proceedings of the Sixth International Conference on Complex Systems. Chuo University, Tokyo (2002) 278-283
Li W., and Cai X. Phys. Rev. E 61 (2000) 771-775
Li W., and Cai X. Phys. Rev. E 61 (2000) 5630-5633
Li W., and Cai X. Phys. Rev. E 62 (2000) 7743
Ausloos M., Clippe P., and Pekalski A. Physica A 332 (2004) 394-402
Paczuski M., Maslov S., and Bak P. Phys. Rev. E 53 (1996) 414
Yamano T. Int. J. Mod. Phys. C 13 (2002) 645-648
Lee C., Zhu X., and Kelin G. Nonlinearity 16 (2003) 25-33
Sornette D., Johansen A., and Bouchaud J.P. J. Phys. I France 6 (1996) 167-175
Vandervalle N., Ausloos M., and Boveroux Ph. Physica A 269 (1999) 170-176
Ausloos M., and Ivanova K. Eur. Phys. J. B 27 (2002) 177-187
Ausloos M., and Ivanova K. In: Takayasu H. (Ed). The Applications of Econophysics (2004), Springer, Berlin 117-124
Rudnick J., and Gaspari G. Elements of the Random Walk (2004), Cambridge University Press, Cambridge
P. Embrechts, M. Maejima, Selfsimilar Processes Princeton Series in Applied Mathematics, 2004, ISBN 0-691-09627-9.
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