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Time Series Models

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Statistics and Finance

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Abstract

A time series is a sequence of observations taken over time, for example, a sequence of daily log returns on a stock. In this chapter, we study statistical models for times series. These models are widely used in econometrics as well as in other areas of business and operations research. For example, time series models are routinely used in operations research to model the output of simulations and are used in supply chain management for forecasting demand.

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References

  • Alexander, C. (2001) Market Models: A Guide to Financial Data AnalysisWiley, Chichester.

    Google Scholar 

  • Box, G. E. P., Jenkins, G. M., and Reinsel, G. C. (1994) Times Series Analysis: Forecasting and Control, 3rd Ed., Prentice-Hall, Englewood Cliffs, NJ.

    Google Scholar 

  • Brockwell, P. J. and Davis, R. A. (1991) Time Series: Theory and Methods 2nd Ed.Springer, NJ.

    Google Scholar 

  • Enders, W. (1995) Applied Econometric Time Series, Wiley, New York. Gourieroux, C. and Jasiak, J. (2001) Financial Econometrics, Princeton University Press, Princeton, NJ.

    Google Scholar 

  • Pindyck, R. S. and Rubinfeld, D. L. (1998) Econometric Models and Economic Forecasts 4th Ed.Irwin McGraw-Hill, Boston.

    Google Scholar 

  • SAS Institute (1993) SAS/ETS User’s Guide Version 6 2nd Ed.SAS Institute, Cary, NC.

    Google Scholar 

  • Tsay, R. S. (2002) Analysis of Financial Time Series, Wiley, New York.

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© 2004 Springer Science+Business Media New York

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Ruppert, D. (2004). Time Series Models. In: Statistics and Finance. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6876-0_4

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  • DOI: https://doi.org/10.1007/978-1-4419-6876-0_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4757-6584-7

  • Online ISBN: 978-1-4419-6876-0

  • eBook Packages: Springer Book Archive

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