Basel 3 regulation aimed at providing a common level-playing field across all regions, business models and size. From a worldwide perspective, its primary objective is not increase minimum required capital but rather (i) to provide better comparability and harmonisation of regulatory playing field at worldwide level ; (ii) limit potential bias provided by internal model approach.
Les études d’impacts Bâle III publiées en 2019 ont mis en exergue l’ampleur des impacts quantitatifs, particulièrement en Europe. A l’heure de la transposition de ce texte, les institutions financières européennes s’interrogent quant à la pérennité de leur business model dans un environnement concurrentiel et économique challengeant.
CH&Co. propose une grille de lecture succincte des impacts du texte et un éclairage sur les perspectives et défis à relever pour la mise en œuvre de Bâle III.
Vous pouvez télécharger le document ci-dessous.
Depuis plusieurs semaines, les banques font connaître leurs craintes sur la transposition des règles mondiales de solvabilité négociées dans le cadre du Comité de Bâle. La raison ? Les nouvelles règles prudentielles dévieraient de leur objectif initial faisant notamment craindre un prix à payer trop fort et une baisse de leur compétitivité, dans un environnement toujours plus concurrentiel.
The aim of this paper is to present model risk situations and a methodology to measure and quantify the associated risk at model level, with different types of assumptions.
After seven years of existence, the GRA team continues to explore the issues of risk quantification. This third booklet still demonstrates the perseverance of the GRA work and reflects the numerous questions the team faces daily.
Counterparty Credit Risk : Evolution of the standardised approach to determine the EAD of counterparties
This article focuses on the revised standardised methodology (SA-CCR) introduced by the regulator to compute the Exposure of derivatives for Counterparty Credit Risk management.
CH&Co provides a response to the Basel Committee on Banking Supervision’s consultative document based on …
The objective of this article is to provide a new angle to the study of RWA density …
This CH&Co. GRA paper analyzes and studies the standardized approach of CVA Risk
“Stochastic modelling of the loss given default (LGD) for non-defaulted assets”
Methodology that diffuses dynamically the stress on the credit rating scale while considering the performance of the credit score.
Banks’ product offering has become more and more sophisticated with the emergence of financial products tailored to the specific needs of a more complex pool of investors.
In a context, where banks are looking to improve their Return on Equity and supervisors strengthening their positions, this whitepaper aims to provide clues for optimizing Post-Scoring classification as well as analysing the relationship between the number of classes in a rating scale and the impact on regulatory capital for LDPs.
The purpose of the Fundamental Review of the Trading Book (FRTB) is to cover shortcomings that both regulations and internal risk processes failed to capture during the 2008 financial crisis.
An example of reinsurance products’ pricing using machine learning methods. Over the last fifty years, numbers and costs of natural disasters have not ceased to multiply. Given this phenomenon, insurers and reinsurers struggle to cover the associated losses.
Following recent financial crises and their disastrous impacts on the industry, regulators are proposing tighter monitoring on banks so that they can survive in extreme market conditions.
In the Basel framework of credit risk estimation, banks seek to develop precise and stable internal models to limit their capital charge.
By David Rego & Hélène Freon, supported by Matthieu Sachot & Benoit Genest. The purpose of this paper is to understand how the current financial landscape shaped by the crises and new regulations impacts Investment Banking’s business model. We will focus on quantitative implications, i.e. valuation, modeling and pricing issues, as well as qualitative implications, i.e. best practices to manage quantitative aspects and handle these functions to the current Investment Banking organization.
Three years since its inception, the GRA team continues to thrive, develop and mature. This second booklet demonstrates the perseverance of our work. It also reflects the numerous questions we face on a daily basis and which we never tire of answering. Benoît Genest
Mikaël Benizri, Actuary, supported by Ziad Fares, R&D, published this white paper with a view to present a mathematic model assisting in the pricing of insurance risk transfer products, such as XL contracts or cat bonds. An example of reinsurance products’ pricing using machine learning methods.
Chappuis Halder & Co. interviews its partners… In this video, I develop the idea that the bank’s business model may not be outlived as imagined.
This paper outlines a practical roadmap to realising cost savings, delivering a material reduction in the volume and complexity of models by outlining five key principles of model optimisation By Benoit Genest, Emilie Pons, Matthieu Arsac for Chappuis Halder & Co.
Standardized Measurement Approach for calculations of Op Risk Capital – By Benoît Genest, Hélène Freon, Mariya Benjelloun. CH&Co provides a response to the Basel Committee on Banking Supervision’s consultative document based on the public data communicated by the Bank for International Settlements.