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Evaluating the Predictive Abilities of Semiparametric Multivariate Models


  • Valentyn Panchenko

    () (Quantitative Economics University of Amsterdam, CeNDEF)


We propose a new semiparametric procedure for estimating multivariate models with conditioning variables. The semiparametric model is based on the parametric conditional copula and nonparametric conditional marginals. To avoid the curse of dimensionality in the estimation of the latter, we propose a dimension reduction technique. The marginals are estimated using conditional kernel smoothers based on local linear estimator. The semiparametric copula model is compared with the parametric DCC model using predictive likelihood as a criterion. The comparison is based on the recent conditional test for predictive abilities. We use various simulations and financial series to compare the methods and show when the proposed semiparametric model is expected to be superior to the fully parametric DCC model

Suggested Citation

  • Valentyn Panchenko, 2006. "Evaluating the Predictive Abilities of Semiparametric Multivariate Models," Computing in Economics and Finance 2006 382, Society for Computational Economics.
  • Handle: RePEc:sce:scecfa:382

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    References listed on IDEAS

    1. Christopher A. Sims & Tao Zha, 1999. "Error Bands for Impulse Responses," Econometrica, Econometric Society, vol. 67(5), pages 1113-1156, September.
    2. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    3. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    4. John Aldrich & Anna Staszewska, 2007. "The experiment in macroeconometrics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 14(2), pages 143-166.
    5. Benkwitz, Alexander & L tkepohl, Helmut & Wolters, J rgen, 2001. "Comparison Of Bootstrap Confidence Intervals For Impulse Responses Of German Monetary Systems," Macroeconomic Dynamics, Cambridge University Press, vol. 5(01), pages 81-100, February.
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    More about this item


    risk management; copula; correlation; multivariate time series; nonparametric conditional distribution;

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General


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