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.
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 Atkinson Index Concentration Ratio Berger-Parker Index Herfindahl-Hirschman Index Hannah-Kay Index Gini Index Theil Index Shannon Index Generalized Entropy Index Kolm Index The image illustrates a simple use of the library where the HHI and Gini indexes are computed and compared for a range of randomly generated portfolio exposures.
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.
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. In financial applications a prominent example of phenomena that can be modelled using state transitions are credit rating migrations of pools of borrowers.
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. First came the Basel Committee’s proposed revision to the operational risk capital framework applicable to banks, next came a similarly fundamental overhaul of what form of risk quantification will be acceptable for calculating credit risk capital requirements.
Risk Capital for Non-Performing Loans 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: Translated in absolute numbers (according to IMF data) the European NPL book alone stands at around 1 trillion EUR. As the adage goes, a trillion here, a trillion there, you pretty soon talk about serious money
FX Lending Risk 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 Financial Weapons of Mass Destruction Warren Buffet famously declared financial derivatives as weapons of mass destruction (although apparently this did not prohibit him from using them when convenient). The leverage afforded by such contracts, their potential complexity, or simply their novelty which may imply lack of understanding, are some reasons why one would classify them as potential contributors of systemic risk, which is a polished rephrasing of the more popular this sucker is going down quote.
Resources fo concentration risk management Concentration Risk Management is a staple of risk management. Open Riskdeveloped 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. This new analytic framework helps clarify the apparent arbitrariness of simple concentration indexes and brings to the fore the underlying unifying concept behind these metrics, thereby enabling their more informed use in portfolio and risk management applications.
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: Game instructions for FuriousBanker: You Objective: You inherited a pretty toxic credit portfolio and your objective is to reduce the concentration, even while improving your profitability.
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 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)