Application of the Nonlinear Oscillations Theory to the Study of Non-equilibrium Financial Market
Vol.7,No.3(2016)
ask price; bid price; correlation dimension; financial market; financial time series; Lorenz system; low-dimensional chaos; non-equilibrium system; nonlinear oscillations
Abhyankar, A., Copeland, L.S. and Wong, W. (1995). Nonlinear Dynamics in Real-Time Equity Market Indices: Evidence from the United Kingdom. The Economic Journal, 105(431), pp. 864–880. https://doi.org/10.2307/2235155
Andreou, A. S., Pavlides, G. and Karytinos, A. (2000). Nonlinear Time-Series Analysis of the Greek Exchange-Rate Market. International Journal of Bifurcation and Chaos, 10(7), pp. 1729–1758. https://doi.org/10.1142/S0218127400001110
Antoniou, A. and Vorlow, C. E. (2005). Price Clustering and Discreteness: Is there Chaos behind the Noise? Physica A, 348, pp. 389–403. https://doi.org/10.1016/j.physa.2004.09.006
Arnold, V. I. (1992). Catastrophe Theory. Springer Berlin Heidelberg.
Atkins, P. W. (1993). The Elements of Physical Chemistry, 3rd ed. Oxford University Press.
Baker, G. L. and Gollub, J. B. (1996). Chaotic Dynamics: An Introduction, 2nd Ed., Cambridge University Press.
Blank, S. (1991) “Chaos” in Futures markets? A Nonlinear Dynamical Analysis. The Journal of Futures Markets, 11(6), pp. 711–728. https://doi.org/10.1002/fut.3990110606
Cai, G. and Huang, J. (2007). A New Finance Chaotic Attractor. International Journal of Nonlinear Science, 3(3), pp. 213-220.
Chakraborti, A., Toke, I., Patriarca, V. and Abergel, F. (2011). Econophysics review: I. Empirical facts Quantitative Finance. Quantitative Finance, 11(7), pp. 991-1012. https://doi.org/10.1080/14697688.2010.539248
Chakraborti, A., Toke, I., Patriarca, V. and Abergel, F. (2011). Econophysics review: II. Agent-based models. Quantitative Finance, 11(7), pp. 1013-1041. https://doi.org/10.1080/14697688.2010.539249
Chen, J. (2015). The Unity of Science and Economics: A New Foundation of Economic Theory. Springer Berlin Heidelberg.
Chen, W. C. (2008). Dynamics and Control of a Financial System with Time-delayed Feedbacks. Chaos, Solitons and Fractals, 37(4), pp. 1188-1207.
Decoster, G. P., Labys, W. C. and Mitchell, D. W. (1992) Evidence of Chaos in Commodity Futures Prices. The Journal of Futures Markets, 12(3), pp. 291–305. https://doi.org/10.1002/fut.3990120305
Ding, M., Grebogi, C., Ott, E., Sauer, T. and Yorke, J. (1993). Estimating correlation dimension from a chaotic time series: when does plateau onset occur? Physica D, 69(3-4), pp. 404-424.
Dmitriev, A. V., Maltseva, S. V. and Markov, N. V. (2014). Crisis Forecasting in Ask and Bid Prices Formation Systems in Case of Precious Metals. In: Proceedings of Global Interdisciplinary Business-Economics Advances Conference. Tampa, Fl-USA, pp. 11-18.
Elliott, R. J., Kopp, P. E. (2005). Mathematics of the Financial Markets. Springer Berlin Heidelberg.
Grassberger, P., Schriber, T. and Schaffrath, C. (1991). Nonlinear time sequence analysis. International Journal of Bifurcation and Chaos, vol. 1(3), pp. 521-547. https://doi.org/10.1142/S0218127491000403
Grassberger, P. and Procaccia, I. (1983). Measuring the trangeness of strange attractors. Physica D: Nonlinear Phenomena, 9, pp. 189-208. https://doi.org/10.1016/0167-2789(83)90298-1
Hafner, C. M. and Reznikova, O. (2012). On the estimation of dynamic conditional correlation models. Computational Statistics and Data Analysis, 56(11), pp. 3533-3545. https://doi.org/10.1016/j.csda.2010.09.022
Hayfeh, A. H. and Mook, D. T. (1995).Nonlinear Oscillations. John Willey & Sons.
Holyst, J. A., Zebrowska, M. and Urbanowicz, K. (2001). Observations of the Deterministic Chaos in Financial Time Series by Recurrence Plots, Can One Control Chaotic Economy? The European Physical Journal B, vol. 20(4), pp. 531-535. https://doi.org/10.1007/PL00011109
Korsch, H. J. and Jodl, H.-J. (1999). Nonlinear Dynamics and Deterministic Chaos. Springer Berlin Heidelberg.
Lai, Y. C. and Ye, N. (2003). Recent developments in chaotic time series analysis. International Journal of Bifurcation and Chaos, 13(6), pp. 1383-1422. https://doi.org/10.1142/S0218127403007308
Lichtenberg, A. and Lieberman, M. (1983). Regular and Stochastic Motion. Springer Berlin Heidelberg.
Lorenz, E. N. (1963). Deterministic Nonperiodic Flow. Journal of the Atmospheric Sciences, 20(2), pp. 130-141. https://doi.org/10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2
Maltseva, S. V. and Dmitriev, A. V. (2014). Dynamic System Crisis’s Detecting Using Big Data Flow. In: Proceedings Performance Management Conference. Aarhus, Denmark, pp. 192-201.
Mantegna, R. N. and Stanley, H. E. (1996). Turbulence and Financial Markets. Nature, 383, pp. 587-588. https://doi.org/10.1038/383587a0
Mayfield, S. E. and Mizrach, B. (1992). On Determining the Dimension of Real-Time Stock-Price Data. Journal of Business & Economic Statistics, 10(3), pp. 367–374.
Murray, F. and Stengos, T. (1989). Measuring the Strangeness of Gold and Silver Rates of Return. The Review of Economic Studies, 56(4), pp. 553–567. https://doi.org/10.2307/2297500
Onsager, L. (1931). Reciprocal Relations in Irreversible Processes. Physical Review Letters, vol. 37, pp. 405-426.
Panas, E. and Ninni, V. (2000). Are Oil Markets Chaotic? A Non-Linear Dynamic Analysis. Energy Economics, 22(5), pp. 549–568. https://doi.org/10.1016/S0140-9883(00)00049-9
Richmond, P., Mimkes, J. and Hutzler, S. (2013). Econophysics and Physical Economics. Oxford University Press.
Ruelle, D. (1989). Elements of Differentiable Dynamics and Bifurcation Theory. Academic Press.
Savit, R. (1988). When Random is Not Random: An Introduction to Chaos in Market Prices. Journal of Futures Markets, 8(3), pp. 271–290. https://doi.org/10.1002/fut.3990080303
Savoiu, G. (2013). Econophysics. Background and Applications in Economics, Finance, and Sociophysics. Academic Press.
Sugihara, G. and May, R. M. (1990). Nonlinear Forecasting as a Way of Distinguishing Chaos from Measurement Error in Time Series. Nature, 344, pp. 734-741. https://doi.org/10.1038/344734a0
Tabor, M. (1989). Chaos and Integrability in Nonlinear Dynamics: An Introduction. Wiley.
Urrutia, J. L., Gronewoller, P. and Hoque, M. (2002). Nonlinearity and low deterministic chaotic behavior in insurance portfolio stock returns. Journal of Risk and Insurance, 69(4), pp. 537-554. https://doi.org/10.1111/1539-6975.00034
Wiggins, S. (2003). Introduction to Applied Nonlinear Dynamical Systems and Chaos. Springer Berlin Heidelberg.
Yang, S. R. and Brorsen, D. W. (1993). Nonlinear Dynamics of Daily Futures Prices: Conditional Heteroskedasticity or Chaos? The Journal of Futures Markets, 13(2), pp. 175–191. https://doi.org/10.1002/fut.3990130205

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright © 2017 Financial Assets and Investing