Magni, Carlo Alberto and Malagoli, Stefano and Marchioni, Andrea and Mastroleo, Giovanni
(2019):
*Rating firms and sensitivity analysis.*
Forthcoming in: Journal of the Operational Research Society

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## Abstract

This paper introduces a model for rating a firm's default risk based on fuzzy logic and expert system and an associated model of sensitivity analysis (SA) for managerial purposes.

The rating model automatically replicates the evaluation process of default risk performed by human experts. It makes use of a modular approach based on rules blocks and conditional implications. The SA model investigates the change in the firm's default risk under changes in the model inputs and employs recent results in the engineering literature of Sensitivity Analysis. In particular, it (i) allows the decomposition of the historical variation of default risk, (ii) identifies the most relevant parameters for the risk variation, and (iii) suggests managerial actions to be undertaken for improving the firm's rating.

Item Type: | MPRA Paper |
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Original Title: | Rating firms and sensitivity analysis |

Language: | English |

Keywords: | Credit rating, default risk, fuzzy logic, fuzzy expert system, sensitivity analysis. |

Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C67 - Input-Output Models G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill |

Item ID: | 95265 |

Depositing User: | Andrea Marchioni |

Date Deposited: | 25 Jul 2019 07:14 |

Last Modified: | 28 Sep 2019 10:41 |

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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/95265 |