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Critical Values for the Cusumsq Statistic in Medium and Large Sized Samples

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  • Edgerton, David
  • Wells, Curt

Abstract

Data series containing more than 200 observations are common in financial economics. The usefulness of the cusumsq test in such medium-sized samples has been hampered by the lack of tabulated confidence bounds and by the inaccuracy of asymptotic approximations. In this paper, the authors extend Durbin's table to encompass all practical sample sizes. They have empirically calculated asymptotic limits, which prove to be extremely accurate for sample sizes greater than sixty. A convenient algorithm for calculating P-values, which is useful even in small samples, is also referred to. Copyright 1994 by Blackwell Publishing Ltd

Suggested Citation

  • Edgerton, David & Wells, Curt, 1994. "Critical Values for the Cusumsq Statistic in Medium and Large Sized Samples," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(3), pages 355-365, August.
    • Handle: RePEc:bla:obuest:v:56:y:1994:i:3:p:355-65
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    Cited by:

    1. Matteo Barigozzi & Antonio M. Conti & Matteo Luciani, 2014. "Do Euro Area Countries Respond Asymmetrically to the Common Monetary Policy?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(5), pages 693-714, October.
    2. Todd E. Clark & Michael W. McCracken, 2009. "Improving Forecast Accuracy By Combining Recursive And Rolling Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(2), pages 363-395, May.
    3. J. Andrew Coutts & Terence Mills & Jennifer Roberts, 1997. "Time series and cross-section parameter stability in the market model: the implications for event studies," The European Journal of Finance, Taylor & Francis Journals, vol. 3(3), pages 243-259.
    4. Bruns, Stephan B. & Csereklyei, Zsuzsanna & Stern, David I., 2020. "A multicointegration model of global climate change," Journal of Econometrics, Elsevier, vol. 214(1), pages 175-197.
    5. Patrick McGlenchy & Paul Kofman, 2004. "Structurally Sound Dynamic Index Futures Hedging," Econometric Society 2004 Australasian Meetings 80, Econometric Society.
    6. Johansson, Martin & Jönsson, Kristian, 2003. "Public debt and the effects of government expenditure on private consumption - A Kalman filter analysis of the Swedish experience 1970-1997," Working Papers 2003:3, Lund University, Department of Economics.
    7. Vanessa Berenguer-Rico & Bent Nielsen, 2015. "Cumulated sum of squares statistics for non-linear and non-stationary regressions," Economics Papers 2015-W09, Economics Group, Nuffield College, University of Oxford.
    8. Krämer, Jörg W., 1996. "Determinants of the expected real long-term interest rates in the G7-countries," Kiel Working Papers 751, Kiel Institute for the World Economy (IfW Kiel).

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