Credit Risk

Credit Portfolio Management in the IFRS 9 / CECL and Stress Testing Era

The post-crisis world presents portfolio managers with the significant challenge to asimilate in day-to-day management the variety of conceptual frameworks now simultaneously applicable in the assessment of portfolio credit risk:

• The first major strand is the widespread application of regulatory stress testing methodologies in the estimation of regulatory risk capital requirements
• The second major strand is the introduction of new accounting standards (IFRS 9 / CECL) for the measurement and disclosure of expected credit losses While both Regulatory Stress Testing and IFRS 9 / CECL accounting require investment in analytic capabilities and provide unique new insights, both are aimed at satisfying evolving prudential or investor disclosure requirements. Neither is designed to help credit portfolio managers analyse and steer their portfolios in the bottom-up fashion that is an essential part their mandate.

The above developments are overlaid into pre-existing conceptual and practical frameworks such as

The new IFRS 9 financial reporting standard

IFRS 9 (and the closely related CECL) is a brand new financial reporting standard developed and approved by the International Accounting Standards Board (IASB).

Strictly speaking IFRS 9 concerns only the accounting and reporting of financial instruments (e.g. bank loans and similar credit products). Yet the introduction of the IFRS 9 standard has significant repercussions beyond financial reporting, and touches e.g., bank risk management as well. This is prompted by the fact that the framework requires embedding forward looking risk assessments in the measurement of the value of credit assets currently on the balance sheet.

What are European Safe Bonds?

While the creation of the eurozone was a landmark of the European integration process, the financial crisis highlighted that the eurozone remains an incomplete design which can lead to unpredictable and adverse situations in the event of a (the) next major crisis. One of the key such incompleteness features of the current eurozone architecture is that it does not have a truly risk-free (safe) euro debt instrument: one that continues being serviced (avoids a default event) at virtually any point in time and state of the world, no matter how severe.

Release of version 0.3 of the ConcentrationMetrics Library

Further building out the OpenCPM set of tools, we release version 0.3 of the ConcentrationMetrics Library. This python library for the computation of various concentration, diversification and inequality indices.

The below list provides documentation URL’s for each one of the implemented indexes

Motivation for Building an open source database based on EBA’s Standardized NPL Templates

In an insightful recent piece, “Overcoming non-performing loan market failures with transaction platforms”, Fell et al. dug deeply into the market failures that help perpetuate the Non-performing loan (NPL) problem. They highlight, in particular, information asymmetries and the attendant costs of valuing NPL portfolios as key obstacles. In the same wavelength, the European Banking Authority published standardized NPL data templates as a step towards reducing the obstacles that prevent the reduction of NPL’s.

Transition Matrix Library First Release

Open Risk released version 0.1 of the Transition Matrix Library

Motivation

State transition phenomena where a system exhibits stochastic (random) migration between well-defined discrete states (see picture below for an illustration) are very common in a variety of fields. Depending on the precise specification and modelling assumptions they may go under the name of multi-state models, Markov chain models or state-space models.

The Zen of IFRS 9 Modeling

At Open Risk we are firm believers in balancing art and science when developing quantitative risk tools. The introduction of the IFRS 9 and CECL accounting frameworks for reporting credit sensitive financial instruments is a massive new worldwide initiative that relies in no small part on quantitative models. The scope and depth of the program in comparison with previous similar efforts (e.g. Basel II) suggests that much can go wrong and it will take considerable time, iterations, communication and training to develop a mature toolkit that is fit-for-purpose.

Reducing variation in credit risk-weighted assets - The benign and vicious cycles of internal risk models

March 2016 wasn’t a good month for so-called internal risk models, the quantitative tools constructed by banks for determining such vital numbers as how much buffer capital is needed to protect the savings of their clients.

Currently many countries are drowning in bad credits

This visualization from the World Bank shows the current distribution of non-performing loans (NPL’s in short) around the world, as fraction of the total outstanding loans:

A stress testing methodology for analyzing FX lending risk. Extends standard credit risk modelling tools to capture the increased risks of FX lending in a consistent way

Resources fo Concentration Risk Management

Concentration Risk Management is a staple of risk management. Open Risk developed a unique and novel set of risk management resources to assist with building in-house knowledge for managing credit concentration risks.

Resources range from courses and online manuals to open source calculators and mobile eLearning games. In this post we have a brief summary of what is available, you can find more details by clicking on the embedded links

Revisiting simple concentration indexes

Our white paper Revisiting simple concentration indexes reviews the definitions of widely used concentration metrics such as the concentration ratio, the HHI index and the Gini and clarify their meaning and relationships.

Concentrating on Concentration Risk

Senior economists such as Ben Bernanke were still studying the Great 30s Depression when the financial crisis struck in full force circa 2007. Given the complexity of the modern economic and financial landscape compared to the blessed good old days - we have no reports of FWMD (financial weapons of mass destruction) from back then - we can reasonably project that economists will be studying and pontificating on causes and remedies for the current crisis for the next 100 years or so.

FuriousBanker(TM) helps you learn risk management concepts in a fun and engaging way. This educational game series for mobiles and tablets is developed by Open Risk to enable modern interactive elearning for people working (or aspiring to work) in financial risk management.

The first episode sees FuriousBanker facing The credit detox challenge:

We are happy to publish the first installment of a trilogy that focuses on the risk factors that can turn any credit portfolio toxic.

The first topic is default correlation, a topic that is both core to understanding credit risk and much misunderstood.

Enjoy!

A Python module of analytic solutions suitable for testing credit portfolio models has been uploaded in the Open Risk github repository

Building out further the Open Risk Academy curriculum around Credit Risk Concentration management, we just added a course on sector concentration.

We just added a new course at the Open Risk Academy!

The course covers name concentration risk measurement, chiefly the construction of suitable metrics based on portfolio data (Free registration is required for this course)

The first batch of open source tools focusing on Credit Portfolio calculations is now available here. The functionality aims to standardize Name Concentration Measurement (concentrationMetrics)