Skip to main content

Long Memory and Hysteresis

  • Chapter
Long Memory in Economics
  • 1836 Accesses

Summary

The aim of this chapter is to determine whether the hysteretic series can be confused with long memory series, since the hysteretic effect is a persistence in the series like the long memory effect.

Nevertheless, the long term behavior of the hysteretic series is very different from the long term behavior of the long memory series: the hysteretic series are not mean reverting whereas the long memory series are (if correctly differencied). Since the mean reverting property is crucial for many economic models for checking the stability of equilibria, distinguishing between hysteresis and long memory is very important. This difference is due to the fact that hysteresis models have in fact a short memory, since dominant shocks erase the memory of the series, and the persistence is due to permanent and nonreverting state changes at a microstructure level. For checking whether hysteretic series can display long memory property, a model possessing the hysteresis property is used for simulating hysteretic data. Statistical tests for short memory against long memory alternatives are applied to these simulated data.

I thank very much Alan P. Kirman (University of Aix Marseille III - EHESS) for giving me the opportunity to submit this paper for publication in this book. I thank very much Gilles Teyssiére (SAMOS) for his useful comments. I thank very much Carole Siani (INSERM U379 - University of Aix-Marseille II) for encouraging me to continue my research in this way and for her careful reading. I thank very much Dany Lang (CEDERS - University of Aix-Marseille II) for having shown me the existence of the hysteresis effect.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Amable, B., Henry, J., Lordon, F. and Topol, R. (1991). Strong Hysteresis: an Application to Foreign Trade. OFCE Working Paper, 91(3).

    Google Scholar 

  2. Amable, B., Henry, J., Lordon, F. and Topol, R. (1995). Hysteresis revisited: A methodological approach. In R. Cross (ed.), The Natural Rate of Unemployment: Reflections on 25 Years of the Hypothesis. Cambridge University Press, Cambridge.

    Google Scholar 

  3. Andersson, M. K. and Gredenhoff, M. P. (1998). Robust testing for fractional integration using the bootstrap. Working paper series in economics and finance, 218.

    Google Scholar 

  4. Arthur, W. B., Holland, J. H., LeBaron, B., Palmer, R. and Taylor, P. (1997). Asset pricing under endogenous expectations in an artificial stock market. In: Durlauf, S. N., Arthur, W. B., and Lane, D. A. (Eds.), The Economy as an Evolving Complex System II, 15–44. Reading, MA: Addison-Wesley.

    Google Scholar 

  5. Brock, W. A. (1993). Pathways to randomness in the economy: emergent nonlinearity and chaos in economics and finance. Estudios Económicos, 8, 3–55.

    Google Scholar 

  6. Brock, W. A. (1997). Asset price behavior in complex environments. In: Durlauf, S. N., Arthur, W. B., and Lane, D. A. (eds.), The Economy as an Evolving Complex System, Vol II, 385–423. Reading MA: Addison-Wesley.

    Google Scholar 

  7. Brock, W. A. and Hommes, C. H. (1997a). A rational route to randomness. Econometrica, 65, 1059–1095.

    Article  MATH  MathSciNet  Google Scholar 

  8. Brock, W. A. and Hommes, C. H. (1997b). Models of complexity in economics and finance. In: C Hey et al (Eds.), System dynamics in economic and financial models, 3–41. New York: Wiley.

    Google Scholar 

  9. Brock, W. A. and Hommes, C. H. (1998). Heterogeneous beliefs and routes to chaos in a simple asset pricing model. Journal of Economic Dynamics Control, 22, 1235–1274.

    Article  MATH  MathSciNet  Google Scholar 

  10. Brock, W. A. and Hommes, C. H. (1999). Rational animal spirits. In: Van der Laan, G., Herings, P. J. J., and Talman, A. J. J. (eds.) The Theory of Markets, 109–137. Amsterdam: North-Holland.

    Google Scholar 

  11. Brock, W. A. and LeBaron, B. (1996). A structural model for stock return volatility and trading volume. Review of Economic Statistics, 78, 94–110.

    Article  Google Scholar 

  12. Chiarella, C. (1992). The dynamics of speculative behaviour. Ann. Operations Research, 37, 101–123.

    Article  MATH  MathSciNet  Google Scholar 

  13. Chiarella, C. and He, T. (2002). Heterogeneous beliefs, risk and learning in a simple asset pricing model. Computational Economics, 19, 95–132.

    Article  MATH  Google Scholar 

  14. Coakley, J., Fuertes, A.M. and Zoega, G. (2002). Evaluating the persistence and structuralist theories of unemployment. Studies in Nonlinear Dynamics and Econometrics, 5, 1–22.

    Google Scholar 

  15. Cross, R. (1993). On the foundations of hysteresis in economic systems. Economics and Philosophy, 9, April, 53–74.

    Article  Google Scholar 

  16. Cross, R., Darby, J., Ireland, J. and Piscitelli, L. (1998). Hysteresis and unemployment: a preliminary investigation. CEPR/ESRC Unemployment Dynamics Workshop Paper, February.

    Google Scholar 

  17. Cross, R., Krasnosel’Skii, A. M. and Pokrovskii, A. V. (2001). A time-dependent Preisach model. Physica B, 306, 206–210.

    Article  CAS  ADS  Google Scholar 

  18. Cross, R., Piscitelli, L., Grinfeld, M. and Lamba, H. (2000). A test for strong hysteresis. Computational Economics, 15, 59–78.

    Article  MATH  Google Scholar 

  19. Dacorogna, M. M., Müller, U. A., Jost, C., Pictet, O. V., Olsen, R. B. and Ward, J. R. (1995). Heterogeneous real-time trading strategies in the foreign exchange market. European Journal of Finance, 1, 383–403.

    Article  Google Scholar 

  20. Davidson, R. and MacKinnon, J. G. (1993). Estimation and inference in economics. Oxford University Press, New York.

    Google Scholar 

  21. Davidson, R. and MacKinnon, J. G. (1996). The power of bootstrap tests. Queen’s University Institute for Economic Research, Discussion Paper, 937.

    Google Scholar 

  22. Davidson, R. and MacKinnon, J. G. (1998). Graphical methods for investigating the size and the power of hypothesis tests. The Manchester School, 66, 1–22.

    Article  Google Scholar 

  23. Davidson, R. and MacKinnon, J. G. (1999). The size distortion of bootstrap tests. Econometric Theory, 15, 361–376.

    Article  MATH  MathSciNet  Google Scholar 

  24. DeGrauwe, P., DeWachter, H. and Embrechts, M. (1993). Exchange Rate Theory, Chaotic Models of Foreign Exchange Markets. Oxford: Blackwell.

    Google Scholar 

  25. De Long, J. B., Shleifer, A., Summers, L. H. and Waldmann, R. J. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98, 703–738.

    Article  Google Scholar 

  26. van Dijk, D. and Franses, P. H. and Paap, R. (2002). A nonlinear memory model for US unemployment. Journal of Econometrics, 110, 135–165.

    Article  MATH  MathSciNet  Google Scholar 

  27. Dixit, A. (1989). Entry and exit decisions under uncertainty. Journal of Political Economy, 93,.

    Google Scholar 

  28. Dixit, A. and Pindyck, R. (1994). Investment Under Uncertainty. Princeton university press, Princeton.

    Google Scholar 

  29. Efron, B. (1979). Bootstrap methods: another look at the Jacknife. Annals of Statistics, 7, 1–26.

    Article  MATH  MathSciNet  Google Scholar 

  30. Fama, E. F. (1965). Random walks in stock market prices. Financial Analysts Journal, September/October (reprinted January–February 1995).

    Google Scholar 

  31. Farmer, J. D. (1998). Market force, ecology, and evolution. Santa Fe Institute Working Paper, 98-12-117.

    Google Scholar 

  32. Farmer, J. D. and Joshi, S. (2002). The price dynamics of common trading strategies. Journal of Economic Behaviour Organization, 49,.

    Google Scholar 

  33. Frankel, J. A. and Froot, K. A. (1988). Chartists, fundamentalists and the demand for dollars. Greek Economic Review, 10, 49–102.

    Google Scholar 

  34. Gaunersdorfer, A. (2000). Endogenous fluctuations in a simple asset pricing model with heterogeneous beliefs. Journal of Economic Dynamics and Control, 24, 799–831.

    Article  MATH  Google Scholar 

  35. Gaunersdorfer, A. and Hommes, C. H. (2005). A nonlinear structural model for volatility clustering. In: Teyssiére, G. and Kirman, A. (Eds.), Long-Memory in Economics. Springer Verlag, Berlin. Appears in this volume.

    Google Scholar 

  36. Giraitis, L., Kokoszka, P., Leipus, R., and Teyssiére, G. (2003). Rescaled variance and related tests for long memory in volatility and levels. Journal of Econometrics, 112, 265–294.

    Article  MATH  MathSciNet  Google Scholar 

  37. Göcke, M. (2002). Various concept of hysteresis applied in economics. Journal of Economic Surveys, 16, 167–188.

    Article  Google Scholar 

  38. Granger, C. W. J. and Joyeux, R. (1980). An introduction to long-memory time series models and fractional integration. Journal of Time Series Analysis, 1, 15–29.

    Article  MATH  MathSciNet  Google Scholar 

  39. Hammermesh, D. (1989). Labour demand and the structure of qdjustment costs. American Economic Review, 79, 674–689.

    Google Scholar 

  40. Henry, M. and Robinson, P. M. (1996). Bandwidth choice in Gaussian semiparametric estimation of long range dependence. Athens Conference on Applied Probability and Time Series Analysis, II, Lecture Notes in Statistics, 115, Springer: New York.

    Google Scholar 

  41. Heyde, C. C. (2002). On modes of long range dependence. Journal of Applied Probability, 39, 882–888.

    Article  MATH  MathSciNet  Google Scholar 

  42. Higuchi, T. (1988). Approach to an irregular time series on the basis of the fractal theory. Physica, D 31, 277–283.

    MATH  MathSciNet  ADS  Google Scholar 

  43. Hosking, J. R. M. (1981). Fractional differencing. Biometrika, 68, 165–176.

    Article  MATH  MathSciNet  Google Scholar 

  44. Hurst, H. E. (1951). Long-term storage capacity of reservoirs. Transac. Am. Soc. Civil Eng., 116, 770–808.

    Google Scholar 

  45. Jensen, M. J. (1994). Wavelet analysis of fractionally integrated processes. Dep. of Economics, Washington University, St. Louis, MO 63130.

    Google Scholar 

  46. Keynes, J. M. (1936). The General Theory of Employment, Interest and Money. Macmillan Press.

    Google Scholar 

  47. Kirman, A. P. (1991). Epidemics of opinion and speculative bubbles in financial markets. In Taylor, M. (ed), Money and Financial Markets, London: Macmillan.

    Google Scholar 

  48. Kirman, A. P. and Teyssiére, G. (2000). Microeconomic models for long-memory in the volatility of financial time series. Studies in Nonlinear Dynamics and Econometrics, 5, 281–302.

    Article  Google Scholar 

  49. Krasnosel’Skii, M. A. and Pokrovskii, A. W. (1989). Systems wich Hysteresis. Springer Verlag, Berlin.

    Google Scholar 

  50. Kurz, M. (1997). Endogenous Economic Fluctuations. Berlin: Springer.

    MATH  Google Scholar 

  51. Layard, R., Nickell, S. and Jackman, R. (1991). Unemployment. Macroeconomic performance and the labour market. Oxford University Press.

    Google Scholar 

  52. Lang, D. and de Peretti, C. (2003). A strong hysteretic model for Okun’s law: Theory and preliminary investigation. Preprint.

    Google Scholar 

  53. LeBaron, B. (2000). Agent based computational finance: suggested readings and early research. Journal of Economic Dynamics and Control, 24, 679–702.

    Article  MATH  Google Scholar 

  54. LeBaron, B., Arthur, W. B. and Palmer, R. (1999). Time series properties of an artificial stock market. Journal of Economic Dynamics and Control, 23, 1487–1516.

    Article  MATH  Google Scholar 

  55. Lo, A. W. (1991). Long-term memory in stock market price. Econometrica, 59, 1279–1313.

    Article  MATH  MathSciNet  Google Scholar 

  56. Lux, T. (1995). Herd behavior, bubbles and crashes. The Economic Journal, 105, 881–896.

    Article  Google Scholar 

  57. Lux, T. and Marchesi, M., (1999). Scaling and criticality in a stochatic multiagent model of a financial market. Nature, 397, 498–500.

    Article  CAS  ADS  Google Scholar 

  58. Lux, T. and Marchesi, M. (2000). Volatility clustering in financial markets: a micro-simulation of interactive agents. International Journal of Theoretical Applied Finance, 3, 675–702.

    Article  MATH  MathSciNet  Google Scholar 

  59. Marshall, A. (1890). Principles of Economics, 1st edition. Macmillan, London.

    Google Scholar 

  60. Mayergoyz, (1991). Mathematical Models of Hysteresis. Springer Verlag, Berlin.

    Book  MATH  Google Scholar 

  61. Oi, W. (1962). Labour as a quasi-fixed factor. Journal of Political Economy, 70, 538–555.

    Article  Google Scholar 

  62. de Peretti, C. (2003a). Bilateral bootstrap tests for long memory: an application to the silver market. Computational Economics, 22, 187–212.

    Article  MATH  Google Scholar 

  63. de Peretti, C. (2003b). Graphical methods for investigating the finite-sample properties of confidence regions: Application to the long memory parameter. Preprint.

    Google Scholar 

  64. de Peretti, C. and Marimoutoo, V. (2002). Are the long memory tests really effective? Preprint.

    Google Scholar 

  65. Robinson, P. M. (1995). Gaussian semiparametric estimation of long range dependence. The Annals of Statistics, 23, 1048–1072.

    Article  MATH  MathSciNet  Google Scholar 

  66. Wang, J. (1994). A model of competitive stock trading volume. Journal of political Economy, 102, 127–168.

    Article  Google Scholar 

  67. Zeeman, E. C. (1974). The unstable behavior of stock exchange. Journal of Mathematical Economics, 1 39–49.

    Article  MATH  MathSciNet  Google Scholar 

  68. Zoega, G., Booth, A. L., and Chen, Y.-F (2002). Hiring and firing: a tale of two thresholds. Journal of Labour Economics, 20, 217–248.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin · Heidelberg

About this chapter

Cite this chapter

de Peretti, C. (2007). Long Memory and Hysteresis. In: Teyssière, G., Kirman, A.P. (eds) Long Memory in Economics. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-34625-8_13

Download citation

Publish with us

Policies and ethics