Visualizing a year in lockdowns and restricted mobility As we move into February 2021 the world will be experiencing almost a year under pandemic conditions. This has markedly changed behavioral patterns of human mobility across the board. One major difference with previous pandemics is that through the use of a variety of digital technologies and new data collection channels we know have an unprecedented view of those changing mobility patterns.
Constructing a Global Mobility Index (GMI): In previous posts (here, and here) we introduced new Open Risk Dashboard functionalities that integrate COVID-19 community mobility data (currently focusing on the datasets provided by Google). As a reminder, these reports chart over time human mobility trends collected from mobile geolocation data. The granularity is by geography and across different categories of places / activities such as retail and recreation areas, groceries and pharmacies, parks, transit stations, workplaces, and residential areas.
The community mobility reports and OpenCPM: In a previous post we introduced new OpenCPM functionality that integrates COVID-19 community mobility data (currently from Google). The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential. While these reports are unlikely to persist as open data sources in the long term, the current availability (as of May 2020) enables providing within OpenCPM a mobility data dashboard that can help draw insights through visualization and statistical analysis.
The community mobility reports and OpenCPM: As the COVID-19 pandemic unfolded technology providers (most notably Google and Apple) made available to the public aggregated and anonymized data about human mobility in the crisis period (on the basis of smartphone location data). These Community Mobility Reports provide insights into how mobility patterns changed in response both to pandemic news and policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of locations and activities, such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.
Limit frameworks are fundamental tools for risk management: A Limit Framework is a set of policies used by financial institutions (or other firms that actively assume quantifiable risks) to govern in a quantitative manner the maximum risk exposure permitted for an individual, trading desk, business line etc. Why do we need limit frameworks? A limit framework is expressing in concrete terms the Risk Appetite of an institution to assume certain risks.
Release of version 0.4 of the Concentration Library adds Geographic / Industrial concentration indexes: Further building out the OpenCPM set of tools, we release version 0.4 of the Concentration Library, a 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 classic indexes (the Hoover index is a new addition in this release Atkinson Index Hoover Index Concentration Ratio Berger-Parker Index Herfindahl-Hirschman Index Hannah-Kay Index Gini Index Theil Index Shannon Index Generalized Entropy Index Kolm Index An important new direction that appears first in this release is the introduction of indexes that measure geographical and industrial concentration.
Release of version 0.3 of the Concentration Library: Further building out the OpenCPM set of tools, we release version 0.3 of the Concentration 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.
Top 10 Risk Manual Articles: The current list of Top 10 Risk Manual Articles, sorted by reader popularity covers a range of topics in risk management. External Fraud, (Operational Risk) Herfindahl-Hirschman Index, (Concentration Risk) Hannah-Kay Index, (Concentration Risk) Concentration Ratio, (Concentration Risk) Granularity Adjustment, (Concentration Risk) Business Execution, (Operational Risk) Internal Fraud, (Operational Risk) Employment Practices, (Operational Risk) Physical Damage, (Operational Risk) Basel II Advanced IRB Capital Model, (Basel II RWA) The Top 10 is dominated by the Concentration Risk category and the Operational Risk definitions, while the old staple, the Basel II formula for RWA calculations squeezes-in in the tenth place.
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 30’s 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.
As part of the public beta testing programme, two new Open Risk Academy courses are accessible absolutely free (and with no strings attached :-). The courses are introductions to measuring credit name or sector concentrations in credit portfolios. They cover the following topics: The concept of credit name or sector concentration - what it is and how it can be measured The regulatory context and how the issue is covered by requirements and regulatory guidance
The rationale for continuing with internal capital models in the Basel 3 world: Overview of the challenges and opportunities offered by internal capital models (economic capital models) in the post-crisis era. Conference Presentation given at: Venue: 2nd Annual Capital Modelling under Basel III (Marcus Evans Conference) Location: London Time: January 28th 2014 Link to presentation: Local file
Building out further the Open Risk Academy curriculum around credit concentration management, we just added a course on sector concentration.
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)