The Microeconomic Foundations of Instability in Financial Markets

  • Alan Kirman


Exchange Rate Financial Market Rational Expectation Foreign Currency Price Process 
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  1. 1.
    Allen, F., Morris, S. and Shin, H-S. (2003). Beauty contests, bubbles and iterated expectations in asset markets capital adequacy regulation. In: Search of a Rationale, Center for Financial Institutions Working Papers 03-06, Wharton School Center for Financial Institutions, University of Pennsylvania.Google Scholar
  2. 2.
    Anderson, S., De Palma, A., and Thisse, J. (1993). Discrete Choice Theory of Product Differentiation. MIT Press, Cambridge, MAzbMATHGoogle Scholar
  3. 3.
    Avery C., and Zemsky, P. (1998). Multidimensionnal uncertainty and herd behaviour in financial markets, American Economic Review, 88, 724–748.Google Scholar
  4. 4.
    Bancchetta, P. and van Wincoop, E. (2003). Can information heterogeneity explain the exchange rate determination puzzle, PreprintGoogle Scholar
  5. 5.
    Blanchard, O. and Watson, M.W. (1982). Bubbles, rational expectations and financial markets. In: Wachsel P. (ed) Crisis in the Economic and Financial System. Lexington Books, Lexington Mass.Google Scholar
  6. 6.
    Blume, L. (1993). The statistical mechanics of strategic interaction. Games and Economic Behaviour, 5, 387–424.zbMATHMathSciNetCrossRefGoogle Scholar
  7. 7.
    Brock, W A. (1993). Pathways to randomness in the economy: emergent nonlinearity and chaos in economics and finance. Estudios Economicos, 8, No 1, E1 Colegio de MexicoGoogle Scholar
  8. 8.
    Brock, W A. and Hommes, C.H. (1997). A rational route to randomness, Econometrica, 65, 1059–1095.zbMATHMathSciNetCrossRefGoogle Scholar
  9. 9.
    Brock, W.A, and Durlauf, S. (2001a). Interaction-based models. In: J. Heckman and E. Leamer (eds) Handbook of Econometrics, Vol V, North-Holland, Amsterdam.Google Scholar
  10. 10.
    Brock, W.A, and Durlauf, S. (2001b). Discrete choice with social interactions. Review of Economic Studies, 68, 235–260.zbMATHMathSciNetCrossRefGoogle Scholar
  11. 11.
    Brooks, C, and Katsaris, A. (2003). Rational speculative bubbles: an empirical investigation of the London stock exchange. Bulletin of Economic Research, 55, 319–346.MathSciNetCrossRefGoogle Scholar
  12. 12.
    Chamley, C. (2002). Rational Herds. Cambridge, Cambridge University Press.Google Scholar
  13. 13.
    Cheung, Y-W., Chinn, M.D., and Pascual, A.G. (2002). Empirical exchange rate models in the nineties: Are they fit to Survive?, NBER Working Paper, 9393.Google Scholar
  14. 14.
    Chionis, D. and MacDonald, R. (2002). Aggregate and disaggregate measures of the Foreign Exchange risk premium. International Review of Economics and Finance, 11, 57–84.CrossRefGoogle Scholar
  15. 15.
    De Long, J. Bradford, Schleifer, A., Summers, L. H. and Waldmann, R. J. (1989). The size and incidence of the losses from noise trading. Journal of Finance, 44, 681–699.CrossRefGoogle Scholar
  16. 16.
    De Long, J. Bradford, Schleifer, A., Summers, L. H. and Waldmann, R. J. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98, 703–738.CrossRefGoogle Scholar
  17. 17.
    Domowitz, Ian. (1993). A taxonomy of automated trade execution systems. Journal of International Money and Finance, 12, 607–631.CrossRefGoogle Scholar
  18. 18.
    Donaldson, R.G. and Kamstra, M. (1996). A new dividend procedure that rejects bubbles in asset prices: the case of the 1920’s stock crash. The Review of Financial Studies, 9, 333–383.CrossRefGoogle Scholar
  19. 19.
    Elster, Jon. (1989). Nuts and Bolts for the Social Sciences. New York: Cambridge University Press.Google Scholar
  20. 20.
    Flood, R.P., Garber, P.M., (1980). Market fundamentals versus price level bubbles: the first tests. Journal of Political Economy, 88, 74–97.Google Scholar
  21. 21.
    Flood, R.P. and Hodrick, R.J. (1990). On testing for speculative bubbles. Journal of Economic Perspectives, 4, 85–102.Google Scholar
  22. 22.
    Foellmer, H. and Schweizer, M. (1993). A microeconomic approach to diffusion models for stock prices. Mathematical Finance, 3, 1–23zbMATHGoogle Scholar
  23. 23.
    Foellmer, H. Horst, U. and Kirman, A. (2005). Equilibrium in financial markets with heterogeneous agents: a new perspective. Journal of Mathematical Economics, 41, 123–155.zbMATHMathSciNetCrossRefGoogle Scholar
  24. 24.
    Frankel, J. A., and Froot, K. (1986). The dollar as an irrational speculative bubble: a tale of fundamentalists and chartists. The Marcus Wallenberg Papers on International Finance, 1, 27–55.Google Scholar
  25. 25.
    Frankel, J. A. and Rose, A. K. (1995). Empirical research on nominal exchange rates. In: G. M. Grossman and K. Rogoff (eds.) Handbook of International Economics, III, North Holland, Amsterdam.Google Scholar
  26. 26.
    Frederick, S., Loewenstein, G. and O’Donoghue, T. (2002). Time discounting and time preference: a critical review. Journal of Economic Literature, 40, 351–401.CrossRefGoogle Scholar
  27. 27.
    Garber P.M., (2000). Famous First Bubbles. M.I.T Press, Cambridge Mass.Google Scholar
  28. 28.
    Grandmont J.M. (1983). Money and value. Econometric Society Monographs, Cambridge University Press.Google Scholar
  29. 29.
    Horvàth, L. Kokoszka, P.S. and Teyssière, G. (2001). Empirical process of the squared residuals of an ARCH sequence. The Annals of Statistics, 29, 445–469.zbMATHMathSciNetCrossRefGoogle Scholar
  30. 30.
    Kirman, A. P. (1991). Epidemics of opinion and speculative bubbles in financial markets. In: M. Taylor (ed.), Money and Financial Markets, 354–68, Macmillan, London.Google Scholar
  31. 31.
    Kirman, A. (1993). Ants, rationality and recruitment. The Quarterly Journal of Economics, 108, 137–156.CrossRefGoogle Scholar
  32. 32.
    Kirman, A., Ricciotti, R. and Topol, R. (2006). Bubbles and foreign exchange markets: it takes two to tango. forthcoming Macroeconomic Dynamics.Google Scholar
  33. 33.
    Kirman, A. and Teyssière, G. (2002). Microeconomic models for long-memory in the volatility of financial series. Studies in Non-Linear Dynamics and Econometrics, 5, 281–303.zbMATHCrossRefGoogle Scholar
  34. 34.
    Kirman, A. and Teyssière, G. (2005). Testing for bubbles and change-points. Journal of Economic dynamics and Control, 29, 765–799.MathSciNetCrossRefGoogle Scholar
  35. 35.
    Kokoszka, P.S. and Leipus, R. (2000). Change-point estimation in ARCH models, Bernoulli, 6, 513–539.zbMATHMathSciNetCrossRefGoogle Scholar
  36. 36.
    Kokoszka, P. S. and Teyssière, G. (2005). Change point detection in GARCH models: asymptotic and bootstrap tests, Revised preprint, Université Paris 1.Google Scholar
  37. 37.
    Lo, A. (1991). Long term memory in stock market prices. Econometrica, 59, 1279–1313.zbMATHMathSciNetCrossRefGoogle Scholar
  38. 38.
    Lux, T. and Sornette, D. (2002). On rational speculative bubbles and fat tails. Journal of Money, Credit, and Banking, 34, 589–610.Google Scholar
  39. 39.
    McFadden, D., (1974). Conditional logit analysis of qualitative choice behaviour. In: Zarembka, P. (Ed.), Frontiers in Econometrics. New York: Academic PressGoogle Scholar
  40. 40.
    Meese, R.A. (1986). Testing for bubbles in exchange markets. Journal of Political Economy, 94, 345–373.CrossRefGoogle Scholar
  41. 41.
    Meese, R.A. and Rogoff, K. (1983). Empirical exchange rate models; do they fit out-of-sample? Journal of International Economics 14, 3–24.CrossRefGoogle Scholar
  42. 42.
    Shiller, R.J. (1981). Do stock prices move by too much to be justified by subsequent changes in dividends? American Economic Review, 71, 421–456.Google Scholar
  43. 43.
    Shiller, R. (2000). Irrational Exuberance. Princeton, Princeton University PressGoogle Scholar
  44. 44.
    Stiglitz, J.E. (1990). Symposium on bubbles. Journal of Economic Perspectives, 4, 13–18.Google Scholar
  45. 45.
    Teyssière, G. (2003). Interaction models for common long range dependence in asset price volatility. In: Rangarajan G, Ding M, (eds), Processes with Long Range Correlations: Theory and Applications Lecture Notes in Physics, 621, Springer Verlag, Berlin, pp. 231–269.Google Scholar
  46. 46.
    Tirole, J. (1985). Asset bubbles and overlapping generations. Econometrica, 53, 1490–1528.Google Scholar
  47. 47.
    Townsend, R.M. (1983). Forecasting the forecast of others. Journal of Political Economy, 91, 546–588.CrossRefGoogle Scholar
  48. 48.
    Vriend, N.J. (2000). An illustration of the essential difference between individual and social learning, and its consequences for computational analyses. Journal of Economic Dynamics and Control, 24, 1–19.zbMATHMathSciNetCrossRefGoogle Scholar
  49. 49.
    Weisbuch, G., Chenevez, O., Nadal, J-P. and Kirman, A.(1998). A formal approach to market organization: choice functions, mean field approximation and maximum entropy principle. In J. Lesourne and A. Orlean (eds.) Advances in Self-Organization and Evolutionary Economics. Economica pp.149–159.Google Scholar
  50. 50.
    Weisbuch, G., Kirman, A. and Herreiner, D. (2000). Market organisation and trading relationships. Economic Journal, 110, 411–436.CrossRefGoogle Scholar
  51. 51.
    West, K.D. (1988). Bubbles, fads and stock price volatility tests: a partial evaluation. Journal of Finance, 43, 639–656.CrossRefGoogle Scholar
  52. 52.
    Woo, W.T., (1987). Some evidence of speculative bubbles in the foreign exchange markets. Journal of Money, Credit and Banking, 19, 499–514CrossRefGoogle Scholar
  53. 53.
    Woodford, M. (1990). Learning to believe in sunspots. Econometrica, 58, 277–307.zbMATHMathSciNetCrossRefGoogle Scholar
  54. 54.
    Young, P. and Foster, D. (1991). Cooperation in the short and in the long run. Games and Economic Behavior, 3, 145–156.zbMATHCrossRefGoogle Scholar

Copyright information

© Springer Berlin · Heidelberg 2007

Authors and Affiliations

  • Alan Kirman
    • 1
  1. 1.School of Social ScienceInstitute for Advanced StudyUSA

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