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"Frontmatter". In: Analysis of Financial Time Series

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78 LINEAR TIME SERIES ANALYSIS AND ITS APPLICATIONSBuild an AR model for the y t series. Does the fitted model suggest the existence<strong>of</strong> business cycles?11. The quarterly gross domestic product implicit price deflator is <strong>of</strong>ten used as ameasure <strong>of</strong> inflation. The file “gdpipd.dat” contains the data for U.S. from thefirst quarter <strong>of</strong> 1947 to the last quarter <strong>of</strong> 2000. The data are seasonally adjustedand equal to 100 for year 1996. Build an ARIMA model for the series and checkthe validity <strong>of</strong> the fitted model. The data are obtained from the Federal ReserveBank <strong>of</strong> St Louis.REFERENCESAkaike, H. (1973), “<strong>In</strong>formation Theory and an Extension <strong>of</strong> the Maximum Likelihood Principle,”in B.N. Petrov and F. Csaki, ed. 2nd <strong>In</strong>ternational Symposium on <strong>In</strong>formation Theory,267–281. Akademia Kiado: Budapest.Box, G. E. P., Jenkins, G. M., and Reinsel, G. C. (1994), <strong>Time</strong> <strong>Series</strong> <strong>Analysis</strong>: Forecastingand Control, 3rd edition, Prentice Hall: Englewood Cliffs, New Jersey.Box, G. E. P., and Pierce, D. (1970), “Distribution <strong>of</strong> Residual Autocorrelations in Autoregressive-<strong>In</strong>tegratedMoving Average <strong>Time</strong> <strong>Series</strong> Models,” Journal <strong>of</strong> the American StatisticalAssociation, 65, 1509–1526.Brockwell, P. J., and Davis, R. A. (1996), <strong>In</strong>troduction to <strong>Time</strong> <strong>Series</strong> and Forecasting,Springer: New York.Brockwell, P. J., and Davis, R. A. (1991), <strong>Time</strong> <strong>Series</strong>: Theory and Methods, 2nd edition,Springer-Verlag: New York.Chan, N. H., and Wei, C. Z. (1988), “Limiting Distributions <strong>of</strong> Least Squares Estimates <strong>of</strong>Unstable Autoregressive Processes,” Annals <strong>of</strong> Statistics, 16, 367–401.Dickey, D. A., and Fuller, W. A. (1979), “Distribution <strong>of</strong> the Estimates for Autoregressive<strong>Time</strong> <strong>Series</strong> with a Unit Root,” Journal <strong>of</strong> the American Statistical Association, 427–431.Ding, Z., Granger, C. W. J., and Engle, R. F. (1993), “A Long Memory Property <strong>of</strong> StockReturns and a New Model,” Journal <strong>of</strong> Empirical Finance,1,83–106.Fuller, W. A. (1976), <strong>In</strong>troduction to Statistical <strong>Time</strong> <strong>Series</strong>, Wiley: New York.Greene, W. H. (2000), Econometric <strong>Analysis</strong>, 4th edition, Prentice-Hall: Upper Saddle River,New Jersey.Hosking, J. R. M. (1981), “Fractional Differencing,” Biometrika, 68, 165–176.Ljung, G., and Box, G. E. P. (1978), “On a Measure <strong>of</strong> Lack <strong>of</strong> Fit in <strong>Time</strong> <strong>Series</strong> Models,”Biometrika, 66, 67–72.Phillips, P. C. B. (1987), “<strong>Time</strong> <strong>Series</strong> Regression with a Unit Root,” Econometrica, 55, 277–301.Shumway, R. H., and St<strong>of</strong>fer, D. S. (2000), <strong>Time</strong> <strong>Series</strong> <strong>Analysis</strong> and its Applications,Springer-Velag: New York.Tiao, G. C., and Tsay, R. S. (1983), “Consistency Properties <strong>of</strong> Least Squares Estimates <strong>of</strong>Autoregressive Parameters in ARMA Models,” Annals <strong>of</strong> Statistics, 11, 856–871.Tsay, R. S., and Tiao, G. C. (1984), “Consistent Estimates <strong>of</strong> Autoregressive Parameters andExtended Sample Autocorrelation Function for Stationary and Nonstationary ARMA Models,”Journal <strong>of</strong> the American Statistical Association, 79, 84–96.

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