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RecessionRisk + : A Novel Recession Risk Model with Applications to the Solvency II Framework and Recession Crises Forecasting

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  • Jacopo Giacomelli

    (SACE S.p.A., Piazza Poli 42, 00187 Rome, Italy
    Department of Statistics, Sapienza University of Rome, Viale Regina Elena 295, 00161 Rome, Italy
    The views and opinions expressed in this article are those of the author and do not necessarily reflect the official policy or position of SACE S.p.A.)

  • Luca Passalacqua

    (Department of Statistics, Sapienza University of Rome, Viale Regina Elena 295, 00161 Rome, Italy)

Abstract

The Solvency II regulatory framework requires European insurance companies to guarantee their solvability and stability by retaining enough Own Funds to cover future unexpected losses at a given confidence level. A Standard Formula approach is provided to estimate the capital requirement needed. Still, Solvency II allows internal methodologies to quantify the capital absorption arising from specific risk types or even to replace the Standard Formula with a full internal model. This work proposes a new internal model approach to measure the Catastrophe Recession Risk. The Recession Risk implies a mandatory capital absorption component for the insurance companies operating in the credit and suretyship business. The proposed model is based on the CreditRisk + model and designed to behave countercyclically, aligning with the original intent of the European supervisory authority when first introducing this risk into the Solvency II risks’ taxonomy. Additionally, the model is applied to define an index for monitoring future recession crises based on the time series of past default rates.

Suggested Citation

  • Jacopo Giacomelli & Luca Passalacqua, 2024. "RecessionRisk + : A Novel Recession Risk Model with Applications to the Solvency II Framework and Recession Crises Forecasting," Mathematics, MDPI, vol. 12(23), pages 1-25, November.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:23:p:3747-:d:1531739
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    References listed on IDEAS

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    2. Giesecke, Kay & Weber, Stefan, 2004. "Cyclical correlations, credit contagion, and portfolio losses," Journal of Banking & Finance, Elsevier, vol. 28(12), pages 3009-3036, December.
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    5. Vandendorpe, Antoine & Ho, Ngoc-Diep & Vanduffel, Steven & Van Dooren, Paul, 2008. "On the parameterization of the CreditRisk + model for estimating credit portfolio risk," Insurance: Mathematics and Economics, Elsevier, vol. 42(2), pages 736-745, April.
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