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Risk prediction management and weak form market efficiency in Eurozone financial crisis

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  • Righi, Marcelo Brutti
  • Ceretta, Paulo Sergio

Abstract

This paper aims to determine if during the recent European financial crisis European markets are efficient in the weak form, as well to introduce an approach to properly predict daily risk of portfolios composed by these market assets, considering their dependence structure. We use daily data from German, English, French, Greek, Dutch and Belgian markets. We perform variance ratio tests to verify the random walk hypothesis. In a general form European capital markets are efficient referent to past information during current crisis. Moreover, through marginal and Pair Copula Construction models, we predict daily Value at Risk for each market and for the portfolio composed by them. Individual risk predictions are correctly simulated. Simulations performed through PCC model properly predict the composed portfolio risk, highlighting that in this crisis period it is crucial to use a tool enable to make correct predictions about risk. The proposed approach emerges as a solution to this task.

Suggested Citation

  • Righi, Marcelo Brutti & Ceretta, Paulo Sergio, 2013. "Risk prediction management and weak form market efficiency in Eurozone financial crisis," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 384-393.
  • Handle: RePEc:eee:finana:v:30:y:2013:i:c:p:384-393
    DOI: 10.1016/j.irfa.2013.07.011
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    Cited by:

    1. Maziar Sahamkhadam & Andreas Stephan, 2023. "Portfolio optimization based on forecasting models using vine copulas: An empirical assessment for global financial crises," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2139-2166, December.
    2. José A. Roldán-Casas & Mª B. García-Moreno García, 2022. "A procedure for testing the hypothesis of weak efficiency in financial markets: a Monte Carlo simulation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(5), pages 1289-1327, December.
    3. Kjersti Aas, 2016. "Pair-Copula Constructions for Financial Applications: A Review," Econometrics, MDPI, vol. 4(4), pages 1-15, October.
    4. Fernanda Maria Müller & Marcelo Brutti Righi, 2018. "Numerical comparison of multivariate models to forecasting risk measures," Risk Management, Palgrave Macmillan, vol. 20(1), pages 29-50, February.
    5. Maziar Sahamkhadam & Andreas Stephan, 2019. "Portfolio optimization based on forecasting models using vine copulas: An empirical assessment for the financial crisis," Papers 1912.10328, arXiv.org.

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