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Mathematical Representation in Economics and Finance: Philosophical Preference, Mathematical Simplicity, and Empirical Relevance

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Methods and Finance

Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics ((SAPERE,volume 34))

Abstract

As Keynes pointed out, classical economics was similar to Euclidean geometry, but the reality is non-Euclidean. Now we have abundant evidence that market movements are nonlinear, non-equilibrium, and economic behavior is collective in nature. But mainstream economics and econometrics are still dominated by linear, equilibrium models of representative agent. A critical issue in economics is the selection criteria among competing math models. Economists may choose the preferred math representation by philosophical preference; or by mathematical beauty or computational simplicity. From historical lessons in physics, we choose the proper math by its empirical relevance, even at the costs of increasing mathematical dimensionality and computational complexity. Math representations can be judged by empirical features and historical implications. Recent historical events of financial crisis reveal the comparative advantage of the advanced math representation. Technology progress facilitates future advancements in mathematical representation and philosophical change in economic thinking.

For the Workshop on Finance, Mathematics, and Philosophy, Rome, June 12–13, 2014.

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References

  1. Prigogine, I.: Order Out of Chaos: Man’s New Dialogue with Nature, Bantam (1984)

    Google Scholar 

  2. Chen, P.: Economic Complexity and Equilibrium Illusion: Essays on Market Instability and Macro Vitality. Routledge, London (2010)

    Google Scholar 

  3. Mirowski, P.: More Heat than Light, Economics as Social Physics, Physics as Nature’s Economics. Cambridge University Press, Cambridge (1989)

    Book  Google Scholar 

  4. Fullbrook, Edward: A Guide to What’s Wrong with Economics. Anthem Press, London (2004)

    Google Scholar 

  5. Rosewell, B.: Economists ‘make assumptions’, BBC NEWS Interview One of the Ten Leading Economists Who Wrote a Letter to the Queen on too Much Math Training in Economics. http://news.bbc.co.uk/today/hi/today/newsid_8202000/8202828.stm. Accessed 15 Aug 2009

  6. Krugman, P.: How Did Economists Get It So Wrong? The New York Times, Sept 2 (2009)

    Google Scholar 

  7. Chen, P.: Equilibrium illusion, economic complexity, and evolutionary foundation of economic analysis, Evol. Inst. Econ. Rev. 5(1), 81–127 (2008) (lbid.2, Chapter 2)

    Google Scholar 

  8. Becker, G.: A note on restaurant pricing and other examples of social influences on price. J. Polit. Econ. 99, 1106–1116 (1991)

    Article  Google Scholar 

  9. Dessing, M.: Labor supply, the family and poverty: the s-shaped labor supply curve. J. Econ. Behav. Organ. 49(4), 433–458 (2002)

    Article  Google Scholar 

  10. Fama, E.F.: Efficient capital markets: a review of theory and empirical work. J. Financ. 25(2), 384–433 (1970)

    Article  Google Scholar 

  11. Sharp, W.F.: Capital asset prices: a theory of market equilibrium under conditions of risk. J. Financ. 19(3), 425–442 (1964)

    Google Scholar 

  12. Mandelbrot, B.: The Variation of Certain Speculative Prices. J. Bus. 36(4), 394–419 (1963)

    Google Scholar 

  13. Gabaix, X., Gopikrishnan, P., Plerou, V., Eugene Stanley, H.: Institutional investors and stock market volatility. Q. J. Econ. 121(2): 461–504 (2006)

    Google Scholar 

  14. Jackwerth, J., Rubinstein, M.: Recovering probability distribution from option price. J. Financ. 51, 1611–1631 (1996)

    Article  Google Scholar 

  15. Haken, H.: Synergetics, An Introduction. Springer, Berlin (1977)

    Book  Google Scholar 

  16. Weidlich, W.: Ising model of public opinion. Collect. Phenom. 1, 51 (1972)

    Google Scholar 

  17. Chen, P.: Imitation, learning, and communication: central or polarized patterns in collective actions. In: Babloyantz, A. (ed.) Self-organization, Emerging Properties and Learning, pp. 279–286. Plenum, New York (1991) (lbid.2, Chapter 9)

    Google Scholar 

  18. Samuelson, P.A.: Interactions between the multiplier analysis and the principle of acceleration. Rev. Econ. Stat. 21, 75–78 (1939)

    Article  Google Scholar 

  19. Frisch, R.: Propagation problems and impulse problems in dynamic economics. In: Economic Essays in Honour of Gustav Cassel, George Allen & Unwin, London (1933)

    Google Scholar 

  20. Chen, P.: Empirical and theoretical evidence of monetary chaos. Syst. Dyn. Rev. 4, 81–108 (1988) (lbid.2, Chapter 4)

    Google Scholar 

  21. Chen, P.: Microfoundations of macroeconomic fluctuations and the laws of probability theory: the principle of large numbers vs. rational expectations arbitrage. J. Econ. Behav. Organ 49, 327–344 (2002) (lbid.2, Chapter 13)

    Google Scholar 

  22. Samuelson, P.A.: Interactions between the multiplier analysis and the principle of acceleration. Rev. Econ. Stat. 21, 75–78 (1939)

    Article  Google Scholar 

  23. Box, G.E.P., Jenkins, G.M.: Time Series Analysis, Forecasting and Control. Holden-Day, San Francisco (1970)

    Google Scholar 

  24. May, R.M.: Simple mathematical models with very complicated dynamics. Nature 261(5560), 459–467 (1976)

    Article  Google Scholar 

  25. Day, R.H.: Irregular growth cycles. Am. Econ. Rev. 72, 404–414 (1982)

    Google Scholar 

  26. Henon, M.: A two dimensional mapping with a strange attractor. Commun. Math. Phys. 50, 69–77 (1976)

    Article  Google Scholar 

  27. Benhabib, J.: Adaptive monetary policy and rational expectations. J. Econ. Theory 23, 261–266 (1980)

    Article  Google Scholar 

  28. Lorenz, E.N.: Deterministic nonperiodic flow. J. Atmos. Sci. 20, 130–141 (1963)

    Google Scholar 

  29. Mackey, M.C., Glass, L.: Oscillations and chaos in physiological control systems. Science 197, 287–289 (1977)

    Article  Google Scholar 

  30. Chen, P.: Empirical and theoretical evidence of monetary chaos. Syst. Dyn. Rev. 4, 81–108 (1988) (Ibid.2, Chapter 4)

    Article  Google Scholar 

  31. Rössler, O.E.: An equation for continuous chaos. Phys. Lett. A 57, 397–398 (1976)

    Article  Google Scholar 

  32. Samuelson, P.A.: Interactions between the multiplier analysis and the principle of acceleration. Rev. Econ. Stat. 21, 75–78 (1939)

    Article  Google Scholar 

  33. Chen, P.: Empirical and theoretical evidence of monetary chaos. Syst. Dyn. Rev. 4, 81–108 (1988) (lbid.2, Chapter 4)

    Google Scholar 

  34. Nelson, C.R., Plosser, C.I.: Trends and random walks in macroeconomic time series, some evidence and implications. J. Monet. Econ. 10, 139–162 (1982)

    Article  Google Scholar 

  35. Chen, P.: Metabolic growth theory: market-share competition, learning uncertainty, and technology wavelets. J. Evol. Econ. 24(2), 239–262 (2014)

    Article  Google Scholar 

  36. Schumpeter, J.A.: The Theory of Economic Development. Harvard University Press, Cambridge (1934)

    Google Scholar 

  37. Smith, A.: The Wealth of Nations, Liberty Classics, Indianapolis, Book I, Chapter III, Division of Labor is Limited by Market Extent (1776, 1981)

    Google Scholar 

  38. Chen, P.: Microfoundations of macroeconomic fluctuations and the laws of probability theory: the principle of large numbers vs. rational expectations arbitrage. J. Econ. Behav. Organ. 49, 327–344 (2002) (lbid.2, Chapter 13)

    Google Scholar 

  39. Malkiel, B.G.: A Random Walk Down Wall Street: Norton (2003)

    Google Scholar 

  40. Black, F., Scholes, M.: The pricing of options and corporate liabilities. J. Polit. Econ. 81, 637–654 (1973)

    Article  Google Scholar 

  41. Reichl, L.E.: A Modern Course in Statistical Physics, 2nd edn. Wiley, New York (1998)

    Google Scholar 

  42. Chen, P.: Evolutionary Economic Dynamics: Persistent Business Cycles, Disruptive Technology, and the Trade-Off between Stability and Complexity. In: Dopfer, K. (ed.) The Evolutionary Foundations of Economics, Chapter 15, pp. 472–505. Cambridge University Press, Cambridge (2005) (lbid.2, Chapter 3)

    Google Scholar 

  43. Zeng, W., Chen, P.: Volatility smile, relative deviation and trading strategies: a general diffusion model for stock returns based on nonlinear birth-death process. China Econ. Q. 7(4), 1415–1436 (2008)

    Google Scholar 

  44. Tang, Y., Chen, P.: Option pricing with interactive trend and volatility. Financ. Rev. 2, 1–11 (2010)

    Google Scholar 

  45. Frisch, R.: Propagation problems and impulse problems in dynamic economics. In: Economic Essays in Honour of Gustav Cassel, George Allen & Unwin, London (1933)

    Google Scholar 

  46. Uhlenbeck, G.E., Ornstein, L.S.: On the theory of brownian motion. Phys. Rev. 36(3), 823–841 (1930)

    Article  Google Scholar 

  47. Wang, M.C., Unlenbeck, G.E.: On the theory of the Brownian Motion II. Rev. Mod. Phys. 17(2&3), 323–342 (1945)

    Article  Google Scholar 

  48. Chen, P.: The Frisch Model of Business Cycles: A Failed Promise and New Alternatives, IC2 Working Paper. University of Texas at Austin (1998) (lbid.2, Chapter 12)

    Google Scholar 

  49. Hodrick, R.J., Prescott, E.C.: Post-War US. Business Cycles: An Empirical Investigation, Discussion Paper No. 451, Carnegie-Mellon University (1981) (J. Money Credit Bank. 29(1), 1–16 (1997))

    Google Scholar 

  50. Von Neumann, J., Kent, R.H., Bellinson, H.R., Hart, B.I.: The mean square successive difference. Ann. Math. Stat. 12(2), 153–162 (1941)

    Article  Google Scholar 

  51. Chen, P.: Economic Complexity and Equilibrium Illusion: Essays on Market Instability and Macro Vitality, Chapter 2, p. 19. London: Routledge (2010) (Ibid.2, Chapter 2)

    Google Scholar 

  52. Chen, P.: A random walk or color chaos on the stock market?—Time-frequency analysis of S&P indexes. Stud. Nonlinear Dyn. Econ. 1(2), 87–103 (1996) (lbid.2, Chapter 6)

    Google Scholar 

  53. Schumpeter, J.A.: Business Cycles, A Theoretical, Historical, and Statistical Analysis of the Capitalist Process. McGraw-Hill, New York (1939)

    Google Scholar 

  54. Schrödinger, Enwin: What is Life?. Cambridge University Press, Cambridge (1948)

    Google Scholar 

  55. Chen, P.: Microfoundations of macroeconomic fluctuations and the laws of probability theory: the principle of large numbers vs. rational expectations arbitrage. J. Econ. Behav. Organ. 49, 327–344 (2002) (lbid.2, Chapter 13)

    Google Scholar 

  56. Chen, P.: From an efficient market to a viable market: new thinking on reforming the international financial market. In: Garnaut, R., Song, L., Woo, W.T. (eds.). China’s New Place in a World in Crisis: Economic, Geopolitical and the Environmental Dimensions, Chapter 3, pp. 33–58. Australian National University E-Press and The Brookings Institution Press, Canberra, July 14 (2009) (lbid.2, Chapter 16)

    Google Scholar 

  57. Johnson, S.: The quiet coup. Atlantic 303(4), 46–56 (2009)

    Google Scholar 

  58. Tang, Y., Chen, P.: Transition probability, dynamic regimes, and the critical point of financial crisis. Phys. A (2015)

    Google Scholar 

  59. Tang, Y., Chen, P.: Time varying moments, regime switch, and crisis warning: the birth-death process with changing transition probability. Phys. A 404, 56–64 (2014)

    Article  Google Scholar 

  60. Prigogine, I.: From Being to Becoming: Time and Complexity in the Physical Sciences. Freeman, San Francisco (1980)

    Google Scholar 

  61. Kuhn, T.: The Structure of Scientific Revolutions, Chicago (1962)

    Google Scholar 

  62. Foley, D.K.: Adam’s Fallacy: A Guide to Economic Theology. Harvard University Press (2008)

    Google Scholar 

  63. Chen, P.: Metabolic growth theory: market-share competition, learning uncertainty, and technology wavelets. J. Evol. Econ. 24(2), 239–262 (2014)

    Article  Google Scholar 

  64. Friedman, M.: Essays in Positive Economics. University of Chicago Press, Chicago (1953)

    Google Scholar 

  65. Hendry, D.F.: Econometrics: Alchemy or Science?, 2nd edn. Oxford University Press, Oxford (2001)

    Google Scholar 

  66. Nicolis, G., Prigogine, I.: Self-organization in Nonequilibrium Systems: From Dissipative Structures to Order through Fluctuations. Wiley, New York (1977)

    Google Scholar 

  67. Soros, G.: Reflexivity in financial markets. In: The New Paradigm for Financial Markets: The Credit Crisis of 2008 and What it Means, 1st edn. PublicAffairs (2008)

    Google Scholar 

  68. Tang, Y., Chen, P.: Option pricing with interactive trend and volatility. Financ. Rev. 2, 1–11 (2010) (in Chinese)

    Google Scholar 

  69. Knight, F.H.: Risk, Uncertainty and Profit, Sentry Press, New York (1921)

    Google Scholar 

  70. Schumpeter, J.A.: Capitalism, Socialism and Democracy, 3rd edn. Harper, New York (1950)

    Google Scholar 

  71. Chen, P.: Nonequilibrium and nonlinearity: a bridge between the two cultures. In: Scott, G.P. (ed.) Time, Rhythms, and Chaos in the New Dialogue with Nature, Chapter 4, pp. 67–85. Iowa State University Press, Ames (1980)

    Google Scholar 

  72. Black, F., Scholes, M.: The pricing of options and corporate liabilities. J. Polit. Econ. 81, 637–654 (1973)

    Article  Google Scholar 

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Acknowledgements

The author thanks Emiliano Ippoliti and participants of the Workshop on Math, Finance, and Philosophy at Rome on June 12–13, 2014. The author also thanks stimulating discussions with Yuji Aruka, Edward Fullbrook, James Galbraith, David Hendry, Justin Lin, Richard Nelson, Edmund Philps, Andreas Pyka, Hong Sheng, Zhengfu Shi, Joseph Stiglitz, Yinan Tang, Wolfgang Weidlich, and Elsner Wolfram.

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Correspondence to Ping Chen .

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Chen, P. (2017). Mathematical Representation in Economics and Finance: Philosophical Preference, Mathematical Simplicity, and Empirical Relevance. In: Ippoliti, E., Chen, P. (eds) Methods and Finance. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 34. Springer, Cham. https://doi.org/10.1007/978-3-319-49872-0_2

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