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Consistency tests for heteroskedastic and risk models

Author

Listed:
  • Adián R. Pagan

    (University of Rochester)

  • Hernán Sabau

    (Operadora de Bolsa)

Abstract

This paper considers a class of consistency tests for the specification of heteroskedastic and risk models. The tests are related to other procedures such as the conditional moment tests of Newey and Tauchen, Hausman's tests, White's tests, the variable addtion Lagrange multiplier tests of Engle and Pagan, and the residual analysis of Pagan and Hall. The power of the consistency tests in the presence of local departures is analyzed and the risk premia model of Engle, Lilien and Robins is re-assessed.

Suggested Citation

  • Adián R. Pagan & Hernán Sabau, 1992. "Consistency tests for heteroskedastic and risk models," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 7(1), pages 3-30.
  • Handle: RePEc:emx:esteco:v:7:y:1992:i:1:p:3-30
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    File URL: https://estudioseconomicos.colmex.mx/index.php/economicos/article/view/307/310
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Domowitz, Ian & Hakkio, Craig S., 1985. "Conditional variance and the risk premium in the foreign exchange market," Journal of International Economics, Elsevier, vol. 19(1-2), pages 47-66, August.
    3. Davidson, Russell & MacKinnon, James G, 1984. "Model Specification Tests Based on Artificial Linear Regressions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(2), pages 485-502, June.
    4. Robinson, P M, 1987. "Asymptotically Efficient Estimation in the Presence of Heteroskedasticity of Unknown Form," Econometrica, Econometric Society, vol. 55(4), pages 875-891, July.
    5. Tauchen, George, 1985. "Diagnostic testing and evaluation of maximum likelihood models," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 415-443.
    6. Breusch, T S & Godfrey, L G, 1986. "Data Transformation Tests," Economic Journal, Royal Economic Society, vol. 96(380a), pages 47-58, Supplemen.
    7. Adrián R. Pagan & Hernán Sabau, 1991. "On the inconsistency of the MLE in certain heteroskedastic regression models," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 6(2), pages 159-172.
    8. White, Halbert, 1980. "Using Least Squares to Approximate Unknown Regression Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(1), pages 149-170, February.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. 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.
    11. 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.
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    6. Torben G. Andersen & Tim Bollerslev, 1997. "Answering the Critics: Yes, ARCH Models Do Provide Good Volatility Forecasts," NBER Working Papers 6023, National Bureau of Economic Research, Inc.
    7. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
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