参考文献
Alizadeh, S., M. Brandt, and F. X. Diebold. 2002. “Range-Based Estimation of Stochastic Volatility Models.” J. Finance 57: 1047–92.
Andersen, T., T. Bollerslev, F. X. Diebold, and H. Ebens. 2001. “The Distribution of Realized Stock Return Volatility.” J. Financ. Econ. 96: 42–55.
Bollerslev, T. 1986. “Generalized Autoregressive Conditional Heterskedastici.” Journal of Econom. 31: 307–27.
Box, G.E.P. 1976. “Science and Statistics.” Journal of American Statistician Association, 33526–33536.
Box, GEP, and D. Pierce. 1970. “Distribution of Residual Autocorelations in Autoregressive-Integrated Moving Average Time Series Models.” J. of American Stat. Assoc. 65: 1509–26.
Christoffersen, Peter F. 2003. Elements of Financial Risk Management. Elsevier Science (USA).
Cochrane, Donald, and Guy H. Orcutt. 1949. “Application of Least Squares Regression to Relationships Containing Autocorrelated Error Terms.” Journal of the American Statistical Association 44: 32–61.
Cryer, Jonathan D., and Kung-Sik Chan. 2008. Time Series Analysis with Applications in R. 2nd Ed. Springer.
Ding, Z., C. W. J. Granger, and R. F. Engle. 1993. “A Long Memory Property of Stock Returns and a New Model.” Journal of Empirical Finance 1: 83–106.
Duan, J. 1995. “The Garch Option Pricing Model.” Mathematical Finance 5: 13–32.
Durbin, James, and Geoffrey S. Watson. 1950. “Testing for Serial Correlation in Least Squares Regression, I.” Biometrika 37: 409–28.
———. 1951. “Testing for Serial Correlation in Least Squares Regression, Ii.” Biometrika 38: 159–78.
Engle, R. E., and V. Ng. 1993. “Measuring and Testing the Impact of News on Volatility.” Journal of Finance 48: 1749–78.
Engle, R. R., and C. W. J. Granger. 1987. “Cointegration and Error Correction Representation, Estimation and Testing.” Econometrica 55: 251–76.
Engle, R.F. 1982. “Autoregressive Conditional Heteroscedasticity with Estmates of the Varinance of United Kingdom Inflation.” Econometrica 50: 987–1007.
Fernandez, Carmen, and Mark F. J. Steel. 1998. “On Bayesian Modeling of Fat Tails and Skewness.” Journal of the American Statistical Association 93 (441): 359–71.
French, K. R., G. W. Schwert, and R. F. Stambaugh. 1987. “Expected Stock Returns and Volatility.” J. Financ. Econ. 19: 3–29.
Garman, M. B., and M. J. Klass. 1980. “On the Estimation of Security Price Volatilites from Historical Data.” J. Buss. 53: 67–78.
Gebhard Kirchgässner, Uwe Hassler, Jürgen Wolters. 2013. Introduction to Modern Time Series Analysis. Springer.
Geweke, J., and S. Porter-Hudak. 1983. “The Estimation and Application of Long Memory Time Series Models.” Journal of Time Series Analysis 4 (4): 221–38.
Glosten, L. R., R. Jagannathan, and D. E. Runkle. 1993. “On the Relation Between the Expected Value and the Volatility of Nominal Excess Return on Stocks.” J. Finance 48: 1779–1801.
Granger, C. W. J. 1969. “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods.” Econometrica, no. 37: 424–38.
Granger, Clive W.J., and Paul Newbold. 1974. “Spurious Regressions in Econometrics.” Journal of Econometrics 2: 111–20.
Johansen, S. 1988. “Analysis of Cointegration Vectors.” Journal of Economic Dynamics and Control 12: 231–54.
———. 1995. Likelihood Based Inference in Cointegrated Vector Error Correction Models. Oxford University Press, Oxford, UK.
Johnson, R. A., and D. W. Wichern. 1998. Applied Multivariate Statistical Analysis. 4th Edition. Prentice Hall.
Ljung, G., and GEP Box. 1978. “On a Measure of Lack of Fit in Time Series Models.” Biometrika 66: 67–72.
Lutkepohl, Helmut, and Markus Kratzig. 2004. Applied Time Series Econometrics. Cambridge University Press.
Markovitz, H. 1959. Portfolio Selection: Efficient Diversification of Investments. John Wiley & Sons, New York.
Nelson, D. B. 1991. “Conditional Heteroskedasticity in Asset Returns: A New Approach.” Econometrica 59: 347–70.
Parkinson, M. 1980. “The Extreme Value Method for Estimating the Variance of the Rate of Return.” J. Buss. 53: 61–65.
Pfaff, Bernhard. 2008a. Analysis of Integrated and Cointegrated Time Series with R. Springer.
———. 2008b. Analysis of Integrated and Cointegrated Time Series with R. 2nd ed. Springer.
Phillips, P. C. B., and S. Ouliaris. 1990. “Asymptotic Properties of Residual Based Tests for Cointegration.” Econometrica 58: 165–93.
Schwert, G. William. 1979. “Tests of Causality: The Message in the Innovations.” In Three Aspects of Policy and Policymaking: Knowledge, Data, and Institutions, Carnegie-Rochester Conference Series on Public Policy, Band 10, edited by K. Brunner and A.H. Meltzer, 55–96. North-Holland, Amsterdam.
Sims, Christopher A. 1972. “Money, Income, and Causality.” American Economic Review 62: 540–52.
Tiao, G. C., and G. E. P. Box. 1981. “Modeling Multiple Time Series with Applications.” Journal of the Americal Statistical Association 76: 802–16.
Tiao, G.C., and R.S. Tsay. 1994. “Some Advances in Non-Linear and Adaptive Modeling in Time Series.” Journal of Forecasting, 13109–13131.
Tong, H. 1990. Non-Linear Time Series: A Dynamic System Approach. Oxford: Oxford University Press.
Tong, H. 1978. “On a Threshold Model.” In Pattern Recognition and Signal Processing, edited by C. H. Chen. Amsterdam: Sijhoff & Noordhoff.
Tsay, Ruey S. 2010. Analysis of Financial Time Series. 3rd Ed. John Wiley & Sons, Inc.
———. 2013. 金融数据分析导论:基于R语言. 机械工业出版社.
———. 2014. Multivariate Time Series Analysis with R and Financial Applications. John Wiley & Sons, Inc.
Yang, D., and Q. Zhang. 2000. “Drift-Independent Volatility Estimation Based on High Low Open and Close Prices.” J. Buss. 73: 477–91.
Zakoian, J. M. 1994. “Threshold Heteroscedastic Models.” J Econ Dyn Control 18: 931–55.
何书元. 2003. 应用时间序列分析. 北京大学出版社.
吴喜之, and 刘苗. 2018. 应用时间序列分析——R软件陪同. 第二版. 机械工业出版社.