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A Guide to Modern Econometrics

  • Verbeek, Marno

Models of Autoregressive Conditional Heteroscedasticity (ARCH) and their generalizations are widely used in ap-plied econometric research, especially for analysis of financial markets. We bring to our reader’s attention a consul-tation on this topic prepared from the book of Marno Verbeek “A Guide to Modern Econometrics” appearing soon in the Publishing House “Nauchnaya Kniga”

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File URL: http://pe.cemi.rssi.ru/pe_2007_4_125-132.pdf
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Article provided by Publishing House "SINERGIA PRESS" in its journal Applied Econometrics.

Volume (Year): 8 (2007)
Issue (Month): 4 ()
Pages: 125-132

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Handle: RePEc:ris:apltrx:0132
Contact details of provider: Web page: http://appliedeconometrics.cemi.rssi.ru/

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  1. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
  2. Robert F. Engle & Victor K. Ng, 1991. "Measuring and Testing the Impact of News on Volatility," NBER Working Papers 3681, National Bureau of Economic Research, Inc.
  3. Bera, Anil K & Higgins, Matthew L, 1993. " ARCH Models: Properties, Estimation and Testing," Journal of Economic Surveys, Wiley Blackwell, vol. 7(4), pages 305-66, December.
  4. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
  5. Francis X. Diebold & Jose A. Lopez, 1995. "Modeling volatility dynamics," Research Paper 9522, Federal Reserve Bank of New York.
  6. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
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