Can a stochastic cusp catastrophe model explain stock market crashes

This paper is the first attempt to fit a stochastic cusp catastrophe model to stock market data. We show that the cusp catastrophe model explains the crash of stock exchanges much better than other models. Using the data of U.S. stock markets we demonstrate that the crash of October 19, 1987, may be better explained by cusp catastrophe theory, which is not true for the crash of September 11, 2001. With the help of sentiment measures, such as the index put/call options ratio and trading volume (the former models the chartists, the latter the fundamentalists), we have found that the 1987 returns are bimodal, and the cusp catastrophe model fits these data better than alternative models. Therefore we may say that the crash has been led by internal forces. However, the causes for the crash of 2001 are external, which is also evident in much weaker presence of bifurcations in the data. In this case, alternative models explain the crash of stock exchanges better than the cusp catastrophe model.

[1]  Leigh Tesfatsion,et al.  Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics (Handbook of Computational Economics) , 2006 .

[2]  Richard H. Day,et al.  Bulls, bears and market sheep , 1990 .

[3]  E. Wagenmakers,et al.  Transformation invariant stochastic catastrophe theory , 2005 .

[4]  H.L.J. van der Maas,et al.  Detecting and modelling developmental transitions , 1998 .

[5]  Terence A. Oliva,et al.  Gemcat: A general multivariate methodology for estimating catastrophe models , 1987 .

[6]  L. Gabora,et al.  Quantum morphogenesis: a variation on Thom's catastrophe theory. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  Aneel Keswani,et al.  The Relationships between Sentiment, Returns and Volatility , 2006 .

[8]  Frank Schweitzer,et al.  Phase transitions in social impact models of opinion formation , 2000 .

[9]  D. Wales A Microscopic Basis for the Global Appearance of Energy Landscapes , 2001, Science.

[10]  H.L.J. van der Maas,et al.  Fitting the cusp catastrophe model , 2005 .

[11]  David S. Bates The Crash of ʼ87: Was It Expected? The Evidence from Options Markets , 1991 .

[12]  Takashi Torii,et al.  Stability analysis of black holes via a catastrophe theory and black hole thermodynamics in generalized theories of gravity , 2003 .

[13]  Editors-in-chief,et al.  Encyclopedia of statistics in behavioral science , 2005 .

[14]  Gerard Gennotte and Hayne Leland. Market Liquidity, Hedging and Crashes , 1989 .

[15]  W. Brock,et al.  Heterogeneous beliefs and routes to chaos in a simple asset pricing model , 1998 .

[16]  H. Sussmann,et al.  Claims and accomplishments of applied catastrophe theory , 1977, Nature.

[17]  V. Araújo Random Dynamical Systems , 2006, math/0608162.

[18]  Werner Jammernegg,et al.  Economic applications and statistical analysis of the cusp catastrophe model , 1986, Z. Oper. Research.

[19]  M. Waldrop Computers Amplify Black Monday: The sudden stock market decline raised questions about the role of computers; they may not have actually caused the crash, but may well have amplified it. , 1987, Science.

[20]  S. Zacks,et al.  Applications of Catastrophe Theory for Statistical Modeling in the Biosciences , 1985 .

[21]  Igor V. Evstigneev,et al.  Dynamic interaction models of economic equilibrium , 2009 .

[22]  B. LeBaron Agent-based Computational Finance , 2006 .

[23]  S J Guastello,et al.  Cusp and butterfly catastrophe modeling of two opponent process models: drug addiction and work performance. , 1984, Behavioral science.

[24]  Christophre Georges Staggered Updating in an Artificial Financial Market , 2005 .

[25]  H. Sussmann,et al.  Catastrophe theory as applied to the social and biological sciences: A critique , 1978, Synthese.

[26]  P.A.I. Hartelman,et al.  Stochastic Catastrophe Theory , 1997 .

[27]  Thomas J. Finucane Put-Call Parity and Expected Returns , 1991, Journal of Financial and Quantitative Analysis.

[28]  Bill Watson,et al.  Statistical catastrophe theory: An overview , 1980 .

[29]  J. B. Rosser,et al.  THE RISE AND FALL OF CATASTROPHE THEORY APPLICATIONS IN ECONOMICS: WAS THE BABY THROWN OUT WITH THE BATHWATER? , 2007 .

[30]  Héctor J. Sussmann,et al.  A critique of applied catastrophe theory in the behavioral sciences , 1978 .

[31]  E. C. Zeeman,et al.  On the unstable behaviour of stock exchanges , 1974 .

[32]  Sebastiano Manzan,et al.  Behavioral Heterogeneity in Stock Prices , 2005 .

[33]  J L Torres,et al.  Biological power laws and Darwin's principle. , 2001, Journal of theoretical biology.

[34]  M. Carlson,et al.  A Brief History of the 1987 Stock Market Crash With a Discussion of the Federal Reserve Response , 2006 .

[35]  D. V. Harten Variable noding in Cyprideis torosa (Ostracoda, Crustacea): an overview, experimental results and a model from Catastrophe Theory , 2000, Hydrobiologia.

[36]  Y. Balasko The behavior of economic equilibria: A catastrophe theory approach , 1978 .

[37]  C. Bauer,et al.  Exchange Rate Dynamics in a Target Zone: A Heterogeneous Expectations Approach , 2009, SSRN Electronic Journal.

[38]  P. J. Green,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[39]  C. Hommes Heterogeneous Agent Models in Economics and Finance , 2005 .

[40]  Anthony Saunders,et al.  A Catastrophe Model of Bank Failure , 1980 .

[41]  L. Cobb Parameter estimation for the cusp catastrophe model , 1981 .