Insights

Decoding the trends and anticipating the future to fuel innovation in Financial Services.

Global Research & Analytics
B. Genest

Basel II IRB Risk Weight Functions

This CH&Co.’ GRA paper introduces Basel II, the construction of risk weight functions and their limits in two sections

Global Research & Analytics
B. Genest

Post-Scoring Classification for Low Default Portfolios

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.

Global Research & Analytics
B. Genest

Interest Rate Risk In The Banking Book

How to manage IRRBB considering the Monetary Policy and the new regulation. This white paper focuses on understanding how current market conditions (low interest rates) can affect banks’ revenues and profitability.

Global Research & Analytics
B. Genest

Risk-Weighted Assets (RWA) density

What lies behind this underrated financial ratio. The objective of this article is to provide a new angle to the study of RWA (Risk-Weighted Assets) density.

Global Research & Analytics
B. Genest

Cat bonds & Artificial Neural Networks

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.

Global Research & Analytics
B. Genest

Collateral Optimization

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.

Global Research & Analytics
B. Genest

Risk & Modelling (2015-2016)

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

Global Research & Analytics
B. Genest

Cat bonds & Artificial Neural Networks, our tribune published on Risk.net

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.

Global Research & Analytics
B. Genest

Modelling: What’s next for Financial Services in Europe? (2017)

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.

Global Research & Analytics
B. Genest

Standardized Measurement Approach for calculations of operational risk (2016)

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.

Global Research & Analytics
B. Genest

Global Research & Analytics (2013-2014)

Only one year after its creation, the GRA team has been completely transformed. Surpassing all of the original ambitions, the team now stretches over three zones (Europe, Asia and the US) and continues to grow. Benoît Genest.

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