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Measuring the Strangeness of Gold and Silver Rates of Return

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Author Info
Frank, Murray
Stengos, Thanasis

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Abstract

The predictability of rates of return on gold and silver are examined. Econometric tests do not reject the martingale hypothesis for either asset. This failure to reject is shown to be misleading. Correlation dimension estimates indicate a structure not captured by the autoregressive conditional heteroskedastic model. The correlation dimension is between six and seven while the Kolmogorov entropy is about 0 2 for both assets. The evidence is consistent with a nonlinear deterministic data generating process underlying the rates of return. The evidence is certainly not sufficient to rule out the possibility of some degree of randomness being present. Copyright 1989 by The Review of Economic Studies Limited.

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Publisher Info
Article provided by Blackwell Publishing in its journal Review of Economic Studies.

Volume (Year): 56 (1989)
Issue (Month): 4 (October)
Pages: 553-67
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Handle: RePEc:bla:restud:v:56:y:1989:i:4:p:553-67

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  1. M. Matilla-García & P. Sanz & F. J. Vázquez, 2004. "Dimension estimation with the BDS-G statistic," Applied Economics, Taylor and Francis Journals, vol. 36(11), pages 1219-1223, June. [Downloadable!] (restricted)
  2. Goldberg, Michael & Schulmeister, Stephen, 1988. "Technical Analysis And Stock Market Efficiency," Working Papers 88-21, C.V. Starr Center for Applied Economics, New York University. [Downloadable!]
  3. William A. Barnett & Alfredo Medio & Apostolos Serletis, 1997. "Nonlinear and Complex Dynamics in Economics," Econometrics 9709001, EconWPA. [Downloadable!]
  4. Ignacio Olmeda & Joaquin Pérez, 1995. "Non-linear dynamics and chaos in the Spanish stock market," Investigaciones Economicas, Fundación SEPI, vol. 19(2), pages 217-248, May. [Downloadable!]
  5. William A. Barnett & Apostolos Serletis, 1998. "Martingales, Nonlinearity, and Chaos," Econometrics 9805003, EconWPA. [Downloadable!]
    Other versions:
  6. Ramsey, James B. & Sayers, Chera L., 1988. "The Statistical Properties Of Dimension Calculations Using Small Data Sets: Some Economic Applications," Working Papers 88-10, C.V. Starr Center for Applied Economics, New York University. [Downloadable!]
  7. Ramsey, James B., 1988. "Economic And Financial Data As Nonlinear Processes," Working Papers 88-30, C.V. Starr Center for Applied Economics, New York University. [Downloadable!]
  8. Anning Wei & Raymond M. Leuthold, 1998. "Long Agricultural Futures Prices: ARCH, Long Memory, or Chaos Processes?," Finance 9805001, EconWPA. [Downloadable!]
  9. Walter C. Labys, 2003. "New Directions in the Modeling and Forecasting of Commodity Markets," Mondes en développement, De Boeck Université, vol. 122(2), pages 3-19. [Downloadable!]
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