Blog

Welcome to the Open Risk Blog

The purpose of our blog is to provide updates on important news and developments around Open Risk and a running commentary on external developments related to our mission.

You can view posted articles either from the front-page or by selecting the relevant post category or tag or tag from the right column. In our archive page blog entries are grouped chronologically.


openNPL 0.2 REST API implementation

openNPL 0.2 REST API implementation

The 0.2 release of openNPL exposes a RESTful API that provides easy standardized online access to NPL credit portfolio data conforming to the EBA NPL templates

Reading Time: 4 min.

openNPL 0.2 release

The open source openNPL platform supports the management of standardized credit portfolio data for non-performing loans. In this respect it implements the detailed European Banking Authority NPL loan templates. openNPL aims to be at the same time easy to integrate in human workflows (using a familiar web interface) and integrate into automated (computer driven) workflows.

Back to School With the Open Risk Academy

Back to School With the Open Risk Academy

In the Back-to-School for 2020 we have more ways to access the Academy, new functionalities and more courses. In the rest of this post you will find a summary of the changes with pointers to further information where required

Reading Time: 4 min.

Risk Management will not be the same going forward: too much is at stake

The summer is over in the Northern Hemisphere - and what an unusual summer has it been! Worldwide the implications and challenges of adjusting to a Covid-19 pandemic are still a major issue, affecting individuals, companies and governments.

openNPL now Available in Dockerized Form

openNPL now Available in Dockerized Form

Open Source, cloud based management of Non-Performing Loan data following the European Banking Authority's templates with just a few keystrokes!

Reading Time: 1 min.

openNPL now Available in Dockerized Form

Following up on the first release of openNPL the platform is now available to install using Docker. Running openNPL via docker is the installation option that simplifies the manual process (but a working docker installation is required!).

Docker Hub

You can pull the latest openNPL image from Docker Hub (This method is recommended if you do not want to mess with the source distribution).

21 Ways to Visualize a Timeseries

21 Ways to Visualize a Timeseries

We explore a variety of distinct ways to visualize the same simple dataset. The post is an excursion into the fundamentals of visualization - a partial deconstruction of the process that highlights some common techniques and associated issues.

Reading Time: 1 min.

Course Objective

This course is a deep-dive into the structure of visualizations, in particular visualizations of timeseries data. The course is now live at the Academy.

openNPL: Open Source NPL Platform - First Release

openNPL: Open Source NPL Platform - First Release

We introduce an open source platform that allows the easy management of non-performing loan data

Reading Time: 4 min.

Non-Performing Loans

The covid-19 crisis will certainly impact the concentration of Non-Performing Loans but given the special nature of this economic crisis compared (in particular) with the 2008 financial crisis it is unclear how precisely things will evolve.

In a previous post and white paper (OpenRiskWP07_022616) we discussed the importance of advancing open and transparent methodologies for managing the risks associated with such credit portfolios. Effective management of NPL is also a top regulatory priority. Following calls from the EU Commission and the EU Council to develop data templates to reduce information asymmetries between potential buyers and sellers of NPL, the European Banking Authority (EBA) has developed such standardised data templates.

Risk Compensation: From Face Masks to Credit, Market and Systemic Risk

Risk Compensation: From Face Masks to Credit, Market and Systemic Risk

Reading Time: 7 min.

What is Risk Compensation?

Risk Compensation is a behavioral model of human attitudes towards risk which suggests that people might adjust their behavior in response to the perceived level of risk. It follows that, depending on the strength of the effect, that it might counteract and even annul the impact of risk mitigation, if the updated attitude and behavior modifies the actual underlying risk

Comparing Google Community Mobility Reports Across Countries

Comparing Google Community Mobility Reports Across Countries

Reading Time: 5 min.

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.

Exploring Community Mobility Reports Using OpenCPM

Exploring Community Mobility Reports Using OpenCPM

Reading Time: 7 min.

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 Game of Life With Macroeconomic Stimulus

The Game of Life With Macroeconomic Stimulus

Agent-based models is a major class of simulation models, with many potential applications in economics and finance

Reading Time: 7 min.

Agent-Based Models

The origins and early years

According to Wikipedia an agent-based model (ABM) is

ABM: class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole.

Connecting the Dots: Economic Networks as Property Graphs

Connecting the Dots: Economic Networks as Property Graphs

Reading Time: 0 min.

Connecting the Dots: Economic Networks as Property Graphs

We develop a quantitative framework that approaches economic networks from the point of view of contractual relationships between agents (and the interdependencies those generate). The representation of agent properties, transactions and contracts is done in the context of a property graph.

A typical use case for the proposed framework is the study of credit networks.

Why is Risk so poorly defined?

Why is Risk so poorly defined?

Why is Risk so poorly defined?

Reading Time: 5 min.

A survey of existing definitions of risk

When looking up the meaning of Risk we are confronted with a surprising situation. There is no satisfying and authoritative general purpose one-line definition that we can adopt without second thoughts. Let us start with the standard dictionary definitions:

What do people talk about at FOSDEM 2020

What do people talk about at FOSDEM 2020

FOSDEM means Free and Open Source Software Developers European Meeting

Reading Time: 4 min.

What do people talk about at FOSDEM 2020

Introduction

FOSDEM is a non-commercial, volunteer-organized European event centered on free and open-source software development. It is aimed at developers and anyone interested in the free and open-source software movement. It aims to enable developers to meet and to promote the awareness and use of free and open-source software. FOSDEM is held annually since 2001, usually during the first weekend of February, at the Université Libre de Bruxelles Solbosch campus in the southeast of Brussels, Belgium. The history of FOSDEM is neatly available at Wikipedia, while the current conference (2020) website is available here.

Making Open Risk Data easier

Making Open Risk Data easier

We introduce an online database that allows the (relatively) easy publication of structured risk data

Reading Time: 1 min.

Making Open Risk Data easier

In an earlier blog post we discussed the promise of Open Risk Data and how the widespread availability of good information that is relevant for risk management can substantially help mitigate diverse risks.

The list of Open Risk Data providers, particularly from public sector, keeps increasing and we are aiming to document all available datasets in the dedicated page of the Open Risk Manual.

Risk Model Ontology

Risk Model Ontology

Reading Time: 2 min.

Semantic Web Technologies

The Risk Model Ontology is a framework that aims to represent and categorize knowledge about risk models using semantic web information technologies.

In principle any semantic technology can be the starting point for a risk model ontology. The Open Risk Manual adopts the W3C’s Web Ontology Language (OWL). OWL is a Semantic Web language designed to represent rich and complex knowledge about things, groups of things, and relations between things. OWL is a computational logic-based language such that knowledge expressed in OWL can be exploited by computer programs, e.g., to verify the consistency of that knowledge or to make implicit knowledge explicit. OWL documents, known as ontologies, can be published in the World Wide Web and may refer to or be referred from other OWL ontologies. OWL is part of the W3C’s Semantic Web technology stack, which includes RDF, RDFS, SPARQL, etc

Federated Credit Risk Models

Federated Credit Risk Models

Reading Time: 4 min.

The motivation for federated credit risk models

Federated learning is a machine learning technique that is receiving increased attention in diverse data driven application domains that have data privacy concerns. The essence of the concept is to train algorithms across decentralized servers, each holding their own local data samples, hence without the need to exchange potentially sensitive information. The construction of a common model is achieved through the exchange of derived data (gradients, parameters, weights etc). This design stands in contrast to traditional model estimation where all data reside (or are brought into one computational environment).

A new logo for the Open Risk Manual

A new logo for the Open Risk Manual

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A new logo for the Open Risk Manual

We have updated the logo for the Open Risk Manual.

The new logo aims to make more explicit both the inspiration that the Open Risk Manual project draws from the trail-blazing Wikipedia initiative (and increasing collection of associated Wikimedia projects) and the reliance on the open source ecosystem of software and tools, including the mediawiki software and the important semantic mediawiki extension.

An overview of EU Financial Regulation initiatives

An overview of EU Financial Regulation initiatives

Reading Time: 1 min.

An overview of EU Financial Regulation initiatives

In the European Union there are several ongoing large scale legislative and regulatory projects that transform the context within which individual, firms and the public sector interact economically. While financial and regulatory reform is an ongoing process in all jurisdictions globally, the size and supra-national nature of the European Union makes those projects particularly interesting.