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Time Series Analysis of Financial Asset Price Fluctuations

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The Practice of Time Series Analysis

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Abstract

With the appreciation of stock prices in the late 1980s and subsequent crash in the 1990s, financial institutions and institutional investors have once again realized that asset management by holding large positions in volatile high-risk assets such as stocks carries the danger of incurring huge losses. This has focused attention on the need to improve risk management and asset management efficiency.

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References

  • Akaike, H. (1971), “Autoregressive Model Fitting for Control,” Annals of the Institute of Statistical Mathematics, Vol.23, 163–180.

    Article  MathSciNet  MATH  Google Scholar 

  • Akaike, H. (1974), “A New Look at the Statistical Model Identification,” IEEE, Transactions on Automatic Control, Vol. AC-19, 716–723.

    Article  MathSciNet  Google Scholar 

  • Akaike, H. (1980), “Likelihood and the Bayes Procedure”, Bayesian Statistics, J.M. Bernards, M.H. De Griot, D.V. Lindley, and A.F.M. Smith, eds., University Press, Spain, 143–166.

    Google Scholar 

  • Gersch, W. and Kitagawa, G.: The prediction of time series with trends and seasonalities, Journal of Business and Economic Statistics, 1, 253–264, 1983.

    Article  Google Scholar 

  • Kitagawa, G. and Gersch, W.:A smoothness priors-state space modeling of time series with trend and seasonality, Journal of the American Statistical Association, 1984

    Google Scholar 

  • Tsuda, H. (1992), “The Application of a non-stationary model to the stock movement”, Symposium of new time series analysis and application.

    Google Scholar 

  • Tsuda, H. (1994), “Prediction of stock movement using a non-stationary model”, Conference of an applied economic time series.

    Google Scholar 

  • Tsuda, H. (1994), “Statistics of Equity,” Asakura Shoten (in Japanese).

    Google Scholar 

  • Yamamoto, T. (1988), “The time series analysis of Economics,” Sobunsha (in Japanese).

    Google Scholar 

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© 1999 Springer-Verlag New York, Inc.

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Tsuda, H. (1999). Time Series Analysis of Financial Asset Price Fluctuations. In: Akaike, H., Kitagawa, G. (eds) The Practice of Time Series Analysis. Statistics for Engineering and Physical Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2162-3_17

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  • DOI: https://doi.org/10.1007/978-1-4612-2162-3_17

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7439-1

  • Online ISBN: 978-1-4612-2162-3

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