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GARCH modelling of individual stock data: the impact of censoring, firm size and trading volume

Author Info

  • Brooks, Robert D.
  • Faff, Robert W.
  • Fry, Tim R. L.

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Article provided by Elsevier in its journal Journal of International Financial Markets, Institutions and Money.

Volume (Year): 11 (2001)
Issue (Month): 2 (June)
Pages: 215-222

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Handle: RePEc:eee:intfin:v:11:y:2001:i:2:p:215-222
Contact details of provider: Web page: http://www.elsevier.com/locate/intfin

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  1. Kim, Dongcheol & Kon, Stanley J, 1994. "Alternative Models for the Conditional Heteroscedasticity of Stock Returns," The Journal of Business, University of Chicago Press, vol. 67(4), pages 563-98, October.
  2. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
  3. Brooks, Robert D, et al, 2000. " U.S. Banking Sector Risk in an Era of Regulatory Change: A Bivariate GARCH Approach," Review of Quantitative Finance and Accounting, Springer, vol. 14(1), pages 17-43, January.
  4. McClain, Katherine T. & Humphreys, H. Brett & Boscan, Atahualpa, 1996. "Measuring risk in the mining sector with ARCH models with important observations on sample size," Journal of Empirical Finance, Elsevier, vol. 3(4), pages 369-391, December.
  5. Gonzalez-Rivera, Gloria, 1996. "Time-varying risk The case of the American computer industry," Journal of Empirical Finance, Elsevier, vol. 2(4), pages 333-342, February.
  6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
  7. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-34, April.
  8. Ding, Zhuanxin & Granger, Clive W. J., 1996. "Modeling volatility persistence of speculative returns: A new approach," Journal of Econometrics, Elsevier, vol. 73(1), pages 185-215, July.
  9. Engle, Robert F. & Mustafa, Chowdhury, 1992. "Implied ARCH models from options prices," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 289-311.
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Cited by:

  1. Amilon, Henrik, 2003. "GARCH estimation and discrete stock prices: an application to low-priced Australian stocks," Economics Letters, Elsevier, vol. 81(2), pages 215-222, November.
  2. Omid Sabbaghi & Navid Sabbaghi, 2014. "An empirical analysis of the Carbon Financial Instrument," Journal of Economics and Finance, Springer, vol. 38(2), pages 209-234, April.
  3. repec:ner:louvai:info:hdl:2078.1/113948 is not listed on IDEAS
  4. Bissoondoyal-Bheenick, Emawtee & Brooks, Robert D., 2010. "Does volume help in predicting stock returns? An analysis of the Australian market," Research in International Business and Finance, Elsevier, vol. 24(2), pages 146-157, June.
  5. Sabbaghi, Omid & Sabbaghi, Navid, 2011. "Carbon Financial Instruments, thin trading, and volatility: Evidence from the Chicago Climate Exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(4), pages 399-407.
  6. Sohn, So Young & Lim, Michael, 2007. "Hierarchical forecasting based on AR-GARCH model in a coherent structure," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1033-1040, January.
  7. De Moor, Lieven & Sercu, Piet, 2011. "The smallest stocks are not just smaller: US and international evidence," Working Papers 2011/28, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
  8. Henrik Amilon, 2002. "A Score Test for Discreteness in GARCH Models," Research Paper Series 76, Quantitative Finance Research Centre, University of Technology, Sydney.

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