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Nonparametric monitoring of financial time series by jump-preserving control charts

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  • Ansgar Steland

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  • Ansgar Steland, 2002. "Nonparametric monitoring of financial time series by jump-preserving control charts," Statistical Papers, Springer, vol. 43(3), pages 401-422, July.
    • Handle: RePEc:spr:stpapr:v:43:y:2002:i:3:p:401-422
    DOI: 10.1007/s00362-002-0112-0
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    References listed on IDEAS

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    1. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    2. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    3. Yanhong Wu, 1996. "A less sensitive linear detector for the change point based on kernel smoothing method," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 43(1), pages 43-55, December.
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    Cited by:

    1. Ansgar Steland, 2005. "Random Walks with Drift – A Sequential Approach," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(6), pages 917-942, November.
    2. Jurgita Markevičiūtė & Alfredas Račkauskas & Charles Suquet, 2017. "Testing epidemic change in nearly nonstationary process with statistics based on residuals," Statistical Papers, Springer, vol. 58(3), pages 577-606, September.
    3. Bock, David & Andersson, Eva & Frisén, Marianne, 2007. "Similarities and differences between statistical surveillance and certain decision rules in finance," Research Reports 2007:8, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.

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