Abstract
This paper presents the results of application of a new method of time-series analysis, which appears to give the first really satisfactory answer to the question of whether commodity futures markets facilitate excessive daily price fluctuations. The method uses an entirely new test statistic, the index of continuity, rather than autocovariance as do virtually all other methods. In order to show why the new statistic is needed, I will first sketch the current status of the relevant area of time-series analysis, and demonstrate the failure of existing methods to solve the problem at hand.
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References
F. W. Taussig, ‘Is Market Price Determinate?’ Quarterly Journal of Economics, May 1921, pp. 394–411.
Holbrook Working, ‘New Ideas and Methods for Price Research,’ Journal of Farm Economics, Dec. 1956, pp. 1427–36, and ‘A Theory of Anticipatory Prices,’ American Economic Review, May 1958, pp. 188–99.
Arnold B. Larson, ‘Evidence on the Temporal Dispersion of Price Effects of New Market Information’ (diss. Stanford University, Calif., 1960 ).
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© 1976 Palgrave Macmillan, a division of Macmillan Publishers Limited
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Larson, A.B. (1976). Measurement of a Random Process in Futures Prices. In: The Economics of Futures Trading. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-02693-7_12
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DOI: https://doi.org/10.1007/978-1-349-02693-7_12
Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-1-349-02695-1
Online ISBN: 978-1-349-02693-7
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