Cliometrica

, Volume 10, Issue 1, pp 31–54 | Cite as

Speculative pricing in the Liverpool cotton futures market: a nonlinear tale of noise traders and fundamentalists from the 1920s

Original Paper

Abstract

In the 1920s and 1930s, empirical studies of cotton futures pricing tend to attribute market fluctuations to shifts in fundamentals. In this paper, we qualify this view focusing on the role of speculation. Our research is based on a nonlinear heterogeneous agents model which posits the existence of two categories of speculators, feedback traders and fundamentalists, who react (differently) to deviations of market prices from their fundamental value. The analysis is based on original data drawn from the online archives of The Times and on an historical description of the working of a staple commodity market. The empirical findings allow us to conclude that whereas feedback traders tend to herd, fundamentalists are more affected by risk aversion and react but slowly to the underpricing/overpricing of the cotton contracts. As expected, the presence of fundamentalists stabilizes the market even if, at least in the time period under investigation, the behavior of feedback traders is the major driver of short-run price dynamics.

Keywords

Behavioral finance Speculation Historical cotton futures markets 

JEL Classification

F31 F33 N13 N23 

References

  1. Baffes J, Kaltsas I (2004) Cotton futures exchanges: their past, their present and their future. Quarterly Journal of International Agriculture 43:153–176Google Scholar
  2. Bollerslev T, Wooldridge JM (1992) Quasi-maximum likelihood estimation and dynamic models with time-varying covariances. Econometric Reviews 11:143–172CrossRefGoogle Scholar
  3. Brock WA, Hommes CH (1997) A rational route to randomness. Econometrica 65:1059–1095CrossRefGoogle Scholar
  4. Brock WA, Hommes CH (1998) Heterogeneous beliefs and route to chaos in a simple asset pricing model. Journal of Economic Dynamics and Control 22:1235–1274CrossRefGoogle Scholar
  5. Chapman SJ, Knoop D (1904) Anticipation in the cotton market. Economic Journal 14:541–554CrossRefGoogle Scholar
  6. Chapman SJ, Knoop D (1906) Dealing in futures on the cotton market. Economic Journal 16:321–373Google Scholar
  7. Chapman SJ, McFarlane J (1907) Cotton supplies. Economic Journal 17:57–65CrossRefGoogle Scholar
  8. Cifarelli G, Paesani P (2012) An assessment of the theory of storage: has the relationship between commodity price volatility and market fundamentals changed over time? Working paper n. 12/2012, Università di Firenze, Dipartimento di Scienze per l’Economia e l’ImpresaGoogle Scholar
  9. Cleveland WS (1993) Visualizing data. Hobart Press, Summit, NJGoogle Scholar
  10. Cox AB (1927) Cotton futures markets in Europe. Journal of Farm Economics 9:176–191CrossRefGoogle Scholar
  11. Cristiano C, Naldi N (2012) Keynes’s activity on the cotton market and the theory of the ‘Normal Backwardation’: 1921–1939. In Marcuzzo MC (ed) Speculation and regulation in commodity markets: the Keynesian approach in theory and practice, Rapporto Tecnico n. 21, Sapienza Università di Roma, Dipartimento di Scienze Statistiche, pp 25–56Google Scholar
  12. Cutler DM, Poterba JM, Summers LH (1990) Speculative dynamics and the role of feedback traders. Am Econ Rev 80:63–68Google Scholar
  13. Day R, Huang W (1990) Bulls, bears and market sheep. J Econ Behav Organ 14:299–329CrossRefGoogle Scholar
  14. De Jong E, Vershoor WFC, Zwinkels RCJ (2009) Behavioural heterogeneity and shift contagion: evidence from the Asian crisis. Journal of Economic Dynamics and Control 33:1929–1944CrossRefGoogle Scholar
  15. De Long JB, Shleifer A, Summers LH, Waldmann RJ (1990) Positive feedback investment strategies and destabilizing rational speculation. Journal of Finance 45:379–395CrossRefGoogle Scholar
  16. Dumbell S (1923) Early Liverpool cotton imports and the organisation of the cotton market in the eighteenth century. Economic Journal 33:362–373CrossRefGoogle Scholar
  17. Eitrheim Ø, Teräsvirta T (1996) Testing the adequacy of smooth transition autoregressive models. Journal of Econometrics 74:59–75CrossRefGoogle Scholar
  18. Ellison T (1886) The cotton trade of Great Britain: including a history of the Liverpool cotton market and of the Liverpool Broker’s Association, Effingham Wilson: London. Reprinted by Kessinger PublishingGoogle Scholar
  19. Emery HC (1896) Speculation on the stock and produce exchanges of the United States, University of Columbia. Reprinted by Kessinger Publishing, New YorkGoogle Scholar
  20. Engle RF, Ng VK (1993) Measuring and testing the impact of news on volatility. Journal of Finance 48:1749–1778CrossRefGoogle Scholar
  21. Fama E (1970) Efficient capital markets: a review of theory and empirical work. Journal of Finance 25:383–417CrossRefGoogle Scholar
  22. Frankel JA, Froot KA (1986) Understanding the US Dollar in the eighties: the expectations of chartists and fundamentalists. The Economic Record 62:24–38Google Scholar
  23. Howell LD (1934) Fluctuations of prices in cotton futures contracts, United States Department of Agriculture Technical Bulletin 423Google Scholar
  24. Howell LD (1939) Cotton prices in spot and futures markets, United States Department of Agriculture Technical Bulletin 685Google Scholar
  25. Hubbard WH (1923) Cotton and the cotton market. D. Appleton and Company, New YorkGoogle Scholar
  26. Hynes W, Jacks DS, O’Rourke KH (2012) Commodity market disintegration in the interwar period. European Review of Economic History 16:119–143CrossRefGoogle Scholar
  27. Keynes JM (1983) The collected writings of John Maynard Keynes, Vol. XII economic articles and correspondence. Investment and editorial, London: MacMillanGoogle Scholar
  28. Killough HB, Killough LW (1926) Price making forces in cotton markets. Journal of the American Statistical Association 21:47–54CrossRefGoogle Scholar
  29. Lundberg S, Teräsvirta T (1998) Modeling economic high frequency time series with STAR GARCH models, Stockholm School of Economics, Working Paper no. 291, available at: http://swapec.hhs.se/hastef/papers/hastef0291.pdf
  30. Luukkonen R, Saikkonen P, Teräsvirta T (1988) Testing linearity against smooth transition autoregressive models. Biometrika 75:491–499CrossRefGoogle Scholar
  31. Lux T, Marchesi M (2000) Volatility clustering in financial markets: a micro-simulation of interacting agents. International Journal of Theoretical and Applied Finance 3:675–702CrossRefGoogle Scholar
  32. Reitz S, Slopek U (2009) Non linear oil price dynamics: a tale of heterogeneous speculators? German Economic Review 10:270–283CrossRefGoogle Scholar
  33. Reitz S, Westerhoff FH (2003) Nonlinearities and cyclical behavior, the role of chartists and fundamentalists. Studies in Nonlinear Dynamics and Econometrics 7(4), Article 3Google Scholar
  34. Reitz S, Westerhoff FH (2007) Commodity price cycles and heterogeneous speculators: a STAR-GARCH model. Empirical Economics 33:231–244CrossRefGoogle Scholar
  35. Rowe JWF (1936) Markets and men. Cambridge University Press, CambridgeGoogle Scholar
  36. Schwartz E, Smith JE (2000) Short-term variation and long-term dynamics in commodity prices. Manage Sci 46:893–911CrossRefGoogle Scholar
  37. Shleifer A, Summers LH (1990) The noise trader approach to finance. Journal of Economic Perspectives 4:19–33CrossRefGoogle Scholar
  38. Smith BB (1928) Factors affecting the price of cotton. United States Department of Agriculture Technical Bulletin 50Google Scholar
  39. ter Ellen S, Zwinkels RCJ (2010) Oil price dynamics: a behavioral finance approach with heterogeneous agents. Energy Economics 32:1427–1434CrossRefGoogle Scholar
  40. Teräsvirta T (1994) Specification, estimation, and evaluation of smooth transition autoregressive models. Journal of the American Statistical Association 89:208–218Google Scholar
  41. Teräsvirta T, Anderson H (1992) Characterizing nonlinearities in business cycles using smooth transition autoregressive models. Journal of Applied Econometrics 7:119–139CrossRefGoogle Scholar
  42. Wan J-Y, Kao C-W (2009) Evidence on the contrarian trading in the foreign exchange markets. Econ Model 26:1420–1431CrossRefGoogle Scholar
  43. Westerhoff FH (2004) Multiasset market dynamics. Macroeconomic Dynamics 8:596–616Google Scholar
  44. Westerhoff FH, Reitz S (2005) Commodity price dynamics and the non linear market impact of technical traders: empirical evidence for the US corn market. Phys A 349:641–648CrossRefGoogle Scholar
  45. Williams JC (1982) The origins of futures markets. Agric Hist 56:306–316Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.University of FlorenceFlorenceItaly
  2. 2.University of Rome Tor VergataRomeItaly

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