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Market Characteristics and Chaos Dynamics in Stock Markets: an International Comparison

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New Drivers of Performance in a Changing Financial World

Abstract

Capital markets are characterized by significant differences in investors’ attitudes and expectations that, as a rule, determine unusual price dynamics that are unlike those suggested by classical linear models (Westerhoff, 2005).

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References

  • Abhyankar, A., L.S. Copeland and W. Wong (1995) ‘Non Linear Dynamics in Real Time Equity Market Indices: Evidence from the United Kingdom’, Economic Journal, 105: 864–80.

    Article  Google Scholar 

  • Antoniou, A., N. Ergul and P. Holmes (1997) ‘Market Efficiency, Thin Trading and Nonlinear Behaviour: Evidence from an Emerging Country’, European Financial Management, 3: 175–90.

    Article  Google Scholar 

  • Arnold, V.I. (1992) Catastrophe Theory, Berlin: Springer-Verlag.

    Book  Google Scholar 

  • Assaf, A. and J. Cavalcante (2005) ‘Long Range Dependence in the Returns and Volatility of the Brazilian Stock Market’, European Review of Economic and Finance, 4: 1–19.

    Google Scholar 

  • Atkins, A.B. and E.A. Dyl (1990) ‘Price Reversal, Bid Ask Spreads and Market Efficiency’, Journal of Financial and Quantitative Analysis, 25: 535–47.

    Article  Google Scholar 

  • Banfi, A. (2004) 1 mercati e gli strumenti finanziari. Disciplina e organizzazione della borsa, Turin: ISEDI.

    Google Scholar 

  • Barkoulas, J.T. and C.F. Baum (1996) Long Term Dependence in Stock Returns Boston College Working Papers in Economics no. 314, Boston.

    Google Scholar 

  • Bayracatar, E., V.H. Poor and K.R. Sircar (2003) ‘Estimating the Fractal Dimension of the S&P 500 Using Wavelet Analysis’, Princeton University working paper, Princeton.

    Google Scholar 

  • Bouchaud, J.P., Y. Gefen, M. Potters and M. Wyart (2004) ‘Fluctuations and Response in Financial Markets: the Subtle Nature of Random Price Change’, Quantitative Finance, 4: 176–90.

    Article  Google Scholar 

  • Brock, W.A. and H.H. Cars (1998) ‘Heterogeneous Beliefs and Routes to Chaos in a Simple Asset Pricing Model’, Journal of Economic Dynamics and Control, 22: 1235–74.

    Article  Google Scholar 

  • Brock, W.A., W. Dechert and J.A. Scheinkman (1987) A Test for Independence Based Correlation Dimension, University of Wisconsin working paper, Madison.

    Google Scholar 

  • Brock, W.A., D.A. Hsieh and B. LeBaron (1993) Nonlinear Dynamics, Chaos and Instability: Statistical Theory and Economic Evidence, Cambridge, MA: MIT Press.

    Google Scholar 

  • Brown, C. (1995) Chaos and Catastrophe Theories, Thousand Oaks, CA: Sage Publications.

    Book  Google Scholar 

  • Broze, L., C. Gourieroux and A. Szafarz (1990) ‘Speculative Bubbles and Exchange of Information on the Market of a Storable Good’, in W.A. Barnett, J. Geweke and K. Shell (eds), Economic Complexity: Chaos, Sunspots, Bubbles and Nonlinearity, New York: Cambridge University Press.

    Google Scholar 

  • Cass, D. and K. Shell (1983) ‘Do Sunspots Matter?’, Journal of Political Economy, 91: 193–207.

    Article  Google Scholar 

  • Chordia, T., R. Roll and A. Subrahmayam (2001) ‘Market Liquidity and Trading Activity’, Journal of Finance, 56: 501–30.

    Article  Google Scholar 

  • Connelly, T.J. (1996) ‘Chaos Theory and the Financial Markets’, Journal of Financial Planning, 36: 26–30.

    Google Scholar 

  • Costantinides, G.M. (1986) ‘Capital Market Equilibrium with Transaction Costs’, Journal of Political Economy, 94: 842–62.

    Article  Google Scholar 

  • Cunningham, L.A. (2000) From Random Walks to Chaotic Crashes: the Linear Genealogy and the Efficient Capital Market Hypothesis, Boston College of Law Working Paper, Boston.

    Google Scholar 

  • Davis, M.H.A and A.R. Norman (1990) ‘Portfolio Selection with Transaction Costs’, Mathematics of Operation Research, 15: 676–713.

    Article  Google Scholar 

  • Day, R.H. (1993) ‘Complex Economic Dynamics: Obvious in History, Generic in Theory, Elusive in Data’, in N.H. Pesaran and S.M. Potter (eds), Nonlinear Dynamics, Chaos and Econometrics, Chichester: John Wiley and Sons.

    Google Scholar 

  • Devaney, R.L. (1990) Caos e frattali, Milan: Addison-Wesley.

    Google Scholar 

  • Eckmann, J.P. (1985) ‘Ergodic Theory of Chaos Dynamics and Strange Attractors’, Review of Modern Physics, 57: 617–56.

    Article  Google Scholar 

  • Falconer, K. (1990) Fractal Geometry: Mathematical Foundations and Applications, Chichester: John Wiley and Sons.

    Google Scholar 

  • Fama, E. (1970) ‘Efficient Capital markets: A Review of the Theory and Empirical Works’, Journal of Finance, 25: 383–417.

    Article  Google Scholar 

  • Famer, J.D. and S. Joshi (2002) ‘The Price Dynamics of Common Trading Strategies’, Journal of Economic Behaviour and Organization, 49: 149–71.

    Article  Google Scholar 

  • Greenside, H.S., A. Wolf, J. Swift and T. Pignataro (1982) ‘Impracticability of a Box Counting Algorithm for Calculating the Dimensionality of Strange Attractors’, Physical Review A, 25: 3453–6.

    Google Scholar 

  • Grossman, S.J. and M.H. Miller (1988) ‘Liquidity and Market Structure’, Journal of Finance, 43: 617–33.

    Article  Google Scholar 

  • Hamilton, J.D. Econometria delle serte storiche Bologna: Monduzzi Editore.

    Google Scholar 

  • Henry, O.T. (2002) ‘Long Memory in Stock Returns: Some International Evidence’, Applied Financial Economics, 12: 725–9.

    Article  Google Scholar 

  • Hiemstra, C. and J.D. Jones (1997) ‘Another Look at Long Memory in Common Stock Returns’, Journal of Empirical Finance, 4: 373–401.

    Article  Google Scholar 

  • Hinich, M.I. and D.M. Patterson (1990) ‘Evidence of Nonlinearity in the Trade-bytrade Stock Market Return Generating Process’, in W.A. Barnett, J. Geweke and K. Shell (eds), Economic Complexity: Chaos, Sunspots, Bubbles and Nonlinearity, New York: Cambridge University Press.

    Google Scholar 

  • Hsieh, D.A. (1991) ‘Chaos and Non Linear Dynamics: Applications for Financial Markets’, Journal of Finance, 46: 1839–77.

    Article  Google Scholar 

  • Huang, B.N. and C.W. Yang (1995) ‘The Fractal Structure in Multinational Stock Returns’, Applied Economic Letters, 2: 67–71.

    Article  Google Scholar 

  • Hurst, H.E. (1991) ‘The Long Term Storage Capacity of Reservoirs’, Transactions of the American Society of Civil Engineers, 116: 770–99.

    Google Scholar 

  • Iori, G., M.G. Daniels, J.D. Famer, L. Gillemot, S. Krishnamurty and E. Smith (2003) ‘An Analysis of Price Impact Function in Order Driven Markets’, Phisica A, 324: 146–51.

    Article  Google Scholar 

  • Jaditz, T. and C. Sayers (1993) ‘Is Chaos Generic in Economic Data?’, International Journal of Bifurcations and Chaos, 3: 745–55.

    Article  Google Scholar 

  • Kugiumtzis, D., B. Lillekjendlie and N. Christophersen (1995a) Chaotic Time Series, Part I: Estimation of Some Invariant Properties in State Space University of Oslo Working Paper.

    Google Scholar 

  • Kugiumtzis, D., B. Lillekjendlie and N. Christophersen (1995b) Chaotic Time Series. Part H: System Identification and Prediction University of Oslo Working Paper.

    Google Scholar 

  • LeBaron, B. (1993) ‘Forecast Improvements Using Volatility Index’, in N.H. Pesaran and S.M. Potter (eds), Nonlinear Dynamics, Chaos and Econometrics, Chichester: John Wiley and Sons.

    Google Scholar 

  • Lillo, F. and J.D. Farmer (2004) ‘The Long Memory Effect of the Efficient Market’, Studies in Nonlinear Dynamics and Econometrics, 8: 1–32.

    Google Scholar 

  • Linnainmaa, J. (2005) The Limit Order Effect UCLA Working Paper, Los Angeles.

    Google Scholar 

  • Liu, T., C.W.J. Granger and W.P. Heller (1992) ‘Using the Correlation Exponent toDecide Whether an Economic Series is Chaotic’, Journal of Applied Econometrics 7: 525–39.

    Article  Google Scholar 

  • Lo, A.W. (1991) ‘Long Term Memory in Stock Market Prices’, Econometrics, 5: 1279–313.

    Article  Google Scholar 

  • Los, C.A. (2004) Measuring the Degree of Financial Market Efficiency, Kent State University Working Paper, Kent.

    Google Scholar 

  • Mandelbrot, B.B. (1987) Gli oggetti Frattali, Milan: Giulio Einaudi Editore.

    Google Scholar 

  • Maslow, S. (2000) ‘Simple Model of Limit Order Driven Market’, Phisica A, 278: 571–8.

    Article  Google Scholar 

  • McCauley, J.L. (1994) Chaos, Dynamics and Fractals: An Algorithmic Approach to Deterministic Chaos, Cambridge: Cambridge University Press.

    Google Scholar 

  • Mouck, T. (1998) ‘Capital Markets Research and Real World Complexity: the Emerging Challenge of Chaos Theory’, Accounting, Organizations and Society, 23: 189–215.

    Article  Google Scholar 

  • Mucley, C. (2004) ‘Empirical Asset Return Distributions: Is Chaos the Culprit?’, Applied Economic Letters, 11: 81–6.

    Article  Google Scholar 

  • Olmeda, I. and J. Perez (1995) ‘Non Linear Dynamics and Chaos in the Spanish Stock Market’, Investigaciones Economicas, 19: 217–48.

    Google Scholar 

  • Pandey, V., T. Kohers and G. Kohers (1998) ‘Deterministic Non Linearity in the Stock Returns of Major European Equity Markets in the United States’, Financial Review, 33: 45–64.

    Article  Google Scholar 

  • Peitgen, H.O., H. Jurgens and D. Saupe (2004) Chaos and Fractals: New Frontiers of Science, Berlin: Springer-Verlag.

    Book  Google Scholar 

  • Pesaran, N.H. and S.M. Potter (1992) ‘Nonlinear Dynamics, Chaos and Econometrics: an Introduction’, Journal of Applied Econometrics, 7: 51–7.

    Article  Google Scholar 

  • Peters, E. (1996) Chaos and Order in the Capital Markets: A New View of Cycles, Prices and Market Volatility, Chichester: John Wiley and Sons.

    Google Scholar 

  • Sadique, S. and P. Silvapulle (2001) ‘Long Term Memory in Stock Market Returns: International Evidence’, International Journal of Finance and Economics, 6: 59–67.

    Article  Google Scholar 

  • Scheinkman, J.A. and B. LeBaron (1989) ‘Nonlinear Dynamics in Stock Returns’, Journal of Business, 62: 311–37.

    Article  Google Scholar 

  • Schreimber, T. (1998) ‘Interdisciplinary Application of Nonlinear Time Series Methods’, Physics Reports, 308: 1–64.

    Article  Google Scholar 

  • Seppi, D.J. (1997) ‘Liquidity Provisions with Limit Orders and Specialists’, Review of Financial Studies, 10: 103–50.

    Article  Google Scholar 

  • Seru, A., T. Shumway and N. Stoffman (2005) Learning by Trading, Stephen Ross School of Business Working Paper, Ann Arbor.

    Google Scholar 

  • Sewell, S.P., S.R.I. Stansell Lee and S.D. Below (1996) ‘Using Chaos Measures to Examine International Capital Market Integration’, Applied Financial Economics, 6: 91–101.

    Article  Google Scholar 

  • Skarandzinski, D.A. (2003) The Non Linear Behavior of Stock Prices: the Impact of Firm Size, Seasonality and Trading Frequency, Virginia Polytechnic Institute Working Paper, Blacksburg.

    Google Scholar 

  • Tyurin, K. (2003) High Frequency Principal Components and Evolution of Liquidity in a Limit Order Market, Indiana University Working Paper, Bloomington.

    Google Scholar 

  • Westerhoff, F.H. (2005) ‘Heterogenous Traders, Price Volume Signals and Complex Asset Price Dynamics’, Discrete Dynamics in Nature and Society, 1: 19–29.

    Article  Google Scholar 

  • Willinger, W., M.S. Taqqu and V. Teverovsky (1999) ‘Stock Market Prices and Long Range Dependence’, Finance and Stochastics, 3: 1–13.

    Article  Google Scholar 

  • Zanotti, G. (2006) ‘Organizzazione e struttura dei mercati mobiliari’, in P.L. Fabrizi (ed.), Economia del mercato mobiliare, Milan: EGEA.

    Google Scholar 

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© 2009 Gianluca Mattarocci

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Mattarocci, G. (2009). Market Characteristics and Chaos Dynamics in Stock Markets: an International Comparison. In: Carretta, A., Fiordelisi, F., Mattarocci, G. (eds) New Drivers of Performance in a Changing Financial World. Palgrave Macmillan Studies in Banking and Financial Institutions. Palgrave Macmillan, London. https://doi.org/10.1057/9780230594814_6

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