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Bibliographische Detailangaben
1. Verfasser:	Pomazanov, Mikhail
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Risk Management
Online-Zugang:	https://arxiv.org/abs/2503.13931
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

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author	Pomazanov, Mikhail
author_facet	Pomazanov, Mikhail
contents	The article proposes a method of designing a statistically distinguishable rating scale that is not excessive in relation to the existing observation statistics. This allows for more stable validation with a fixed maximum number of violations of the Wald criterion compared to an excess scale, which is usually used by banks. The increased robustness of validation will reduce the calibration probability of default, which provides savings in capital requirements under the advanced IRB approach. Theoretical justifications of the effect are presented, numerical calculations for three rating scales, two of which are open statistics of rating agencies, and the third is the rating scale of one bank from closed data are performed. The proposed method is most relevant for the corporate segment of the loan portfolio.
format	Preprint
id	arxiv_https___arxiv_org_abs_2503_13931
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Statistically distinguishable rating scale Pomazanov, Mikhail Risk Management The article proposes a method of designing a statistically distinguishable rating scale that is not excessive in relation to the existing observation statistics. This allows for more stable validation with a fixed maximum number of violations of the Wald criterion compared to an excess scale, which is usually used by banks. The increased robustness of validation will reduce the calibration probability of default, which provides savings in capital requirements under the advanced IRB approach. Theoretical justifications of the effect are presented, numerical calculations for three rating scales, two of which are open statistics of rating agencies, and the third is the rating scale of one bank from closed data are performed. The proposed method is most relevant for the corporate segment of the loan portfolio.
title	Statistically distinguishable rating scale
topic	Risk Management
url	https://arxiv.org/abs/2503.13931

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// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

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