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Phillips Curve and output expectations: New perspectives from the Euro Zone

Author

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  • Giuliana Passamani
  • Alessandro Sardone
  • Roberto Tamborini

Abstract

We propose a family of copula-based multivariate distributions with g-and- h marginals. After studying the properties of the distribution, we develop a two-step estimation strategy and analyze via simulation the sampling distribution of the estimators. The methodology is used for the analysis of a 7-dimensional dataset containing 40,871 operational losses. The empirical evidence suggests that a distribution based on a single copula is not flexible enough, thus we model the dependence structure by means of vine copulas. We show that the approach based on regular vines improves the fit. Moreover, even though losses corresponding to different event types are found to be dependent, the assumption of perfect positive dependence is not supported by our analysis. As a result, the Value-at-Risk of the total operational loss distribution obtained from the copula-based technique is substantially smaller at high confidence levels, with respect to the one obtained using the common practice of summing the univariate Value-at-Risks.

Suggested Citation

  • Giuliana Passamani & Alessandro Sardone & Roberto Tamborini, 2020. "Phillips Curve and output expectations: New perspectives from the Euro Zone," DEM Working Papers 2020/6, Department of Economics and Management.
    • Handle: RePEc:trn:utwprg:2020/6
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    References listed on IDEAS

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    2. Luigi Bonatti Roberto Tamborini & Roberto Tamborini, 2021. "Is High Inflation the New Challenge for Central Banks?," DEM Working Papers 2021/14, Department of Economics and Management.

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