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.


Transition Matrix Library First Release

Transition Matrix Library First Release

Reading Time: 2 min.

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

The Zen of IFRS 9 Modeling

Reading Time: 6 min.

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.

Loan Level Templates Using Python

Loan Level Templates Using Python

Loan Level Templates Using Python

Reading Time: 0 min.

Loan Level Templates Using Python

In this Open Risk Academy course we figure step by step how to use python to work with Loan Level Templates, using the ECB SME template as an example.

  • Overview of the loan level template
  • Manipulating spreadsheets with Python
  • The Python Dictionary
  • Organization of Portfolio Data
  • Generating Test Portfolios

Get an Open Risk Academy account and get started with the course here

Privacy-at-Risk

Privacy-at-Risk

Reading Time: 5 min.

The Data Privacy genie is out of the bottle

From Yahoo’s massive email data leaks, to Equifax’s exposing of sensitive data for a large segment of the US population, to Apple’s resisting the bypassing the security features of the iPhone, not a week goes by without some alarming piece of news around data privacy.

How to Stress Test Financial Weapons of Mass Destruction

How to Stress Test Financial Weapons of Mass Destruction

Reading Time: 2 min.

How to Stress Test Financial Weapons of Mass Destruction

In recent decades we have been collectively spared the haunting images and existential anxiety provoked by the sight of detonating nuclear weapons for testing purposes - not to mention the increased levels of radiation in the atmosphere and other side-effects. This achievement is largely thanks to a series of treaties to control nuclear bomb testing that have been signed and enforced by most (unhappily not all) countries worldwide.

The Promise of Open Risk Data

The Promise of Open Risk Data

Reading Time: 3 min.

The Promise of Open Risk Data

There is a legend that every time a data set is released into the open, somewhere dies a black swan

Well, it is not a true legend. Legends take centuries of oral storytelling to form. In our frantic age, dominated by the daily news cycle and viral twitter storms, legends have been replaced by the rather more short-lived memes and #hashtags.

Seeking clues for financial stability in quantum physics

Seeking clues for financial stability in quantum physics

Reading Time: 7 min.

Seeking clues for financial stability from quantum physics

How physicists discovered why the world is stable

Physics is one of those remarkably successful branches of science that have helped shape the modern era. Let your gaze drop on any man made gadget in your surroundings and its likely that its working principles go back to a fundamental discovery in physical science that dates back no more than two hundred years or so.

If banks were airlines

If banks were airlines

Reading Time: 3 min.

If banks were airlines

Ever since the scary turbulence of the Great Financial Crisis it has been instructive and illuminating to compare the travails of the financial industry with the state of other industries, especially those more down to earth, also known as real world industries.

Lehman, Brexit, De-Regulation and the future of EU fintech

Lehman, Brexit, De-Regulation and the future of EU fintech

Reading Time: 10 min.

Lehman, Brexit, De-Regulation and the future of EU fintech

The decision by the citizens of the United Kingdom to vote against continuing membership of the European Union (#brexit) will have wide ranging repercussions on many facets of the European (and even global) economic system. As of early 2017, we see this trend further reinforced by a new US administration that aims to revisit a wide range of policy choices, including aspects of financial services regulation. While the aftershocks of these events still reverberate, it seems that we can posit quite confidently that:

Transparency, Standards, Collaboration and regaining trust in financial services

Transparency, Standards, Collaboration and regaining trust in financial services

Reading Time: 6 min.

Transparency, collaboration key to regaining trust in financial services

In banking, confidence is the first order of business

Maintaining the confidence of market participants, clients, shareholders, regulators and governments is uniquely important for the financial sector. Trust is, quite literally, the real currency. Yet it is a truism that confidence is hard to build up and rather easy to destroy. Why is this so?

We are hiring artificially intelligent bankers

We are hiring artificially intelligent bankers

Reading Time: 2 min.

Job Specification for an Artificially Intelligent Banker

The Artificially Intelligent Banker is responsible for the overall management of the AI2H (AI to Human) lending department. The following requirements (job specifications) were determined by extensive data mining analysis and derived from the job description as crucial for success in the Artificially Intelligent Banker role.

Can accounting ever be sexy? From IFRS 9 to Sustainability

Can accounting ever be sexy? From IFRS 9 to Sustainability

Reading Time: 1 min.

Accounting probably would not count among the more glamorous of professions. The reasons for that status and whether it is justified are beyond the scope of this brief commentary.

What is interesting to note, though, is that the relative attractiveness of accounting is arguably improving, driven by a number of systemic societal developments:

Fintech, embrace your inner regulator!

Fintech, embrace your inner regulator!

Reading Time: 2 min.

Fintech, embrace your inner regulator

2017 is shaping to be the year of #regtech, aka new technology startups setting up digital shop to help the financial services sector cope with its heavy regulatory burden. But what is regulation? Why is it a burden and how does it relate to real risks and risk management?

How much digital bank can we fit in a 50 euro bill?

How much digital bank can we fit in a 50 euro bill?

Reading Time: 2 min.

How much digital bank can we fit in a 50 euro bill?

Much has been said about the impact of Big Data and high-end GPU Computing on the provision of digital financial services. At Open Risk we wanted to explore the boundary of what is possible at the diametrically opposite end of the cost spectrum:

What is the_absolutely minimum_cost for providing digital financial services? . In this post we begin the journey of finding out the answer to that question and it promises to be fascinating!

Fintech Risk Events

Fintech Risk Events

Reading Time: 1 min.

Fintech Risk Events

Fintech Risk Events is an open catalog of observed and publicized operational failures of fintech business models. The catalog aims to document, in due course, such events reasonably accurately, to allow risk managers understand the (potentially new) vulnerabilities of new financial services models.

Scope

The scope of the operational risk database is Fintech companies. By that we mean newly established financial services providers that operate exclusively via new (digital) platforms and are (mostly) unregulated. The fintech sector is distinct from established financial services firms that operate with a mix of technology platforms and are (mostly) regulated.

The Atlas of Bad Risk Management

The Atlas of Bad Risk Management

Reading Time: 2 min.

The Atlas was discovered recently in archaeological work studying pre-crisis civilizations. Despite the obvious wear and tear, all key risk failure areas have been preserved. We note the remarkable diversity of organizational forms and economic structures. Most interestingly, there is even an uncharted territory that was rumored to be inhabited by black swans.

Reducing variation in credit risk-weighted assets

Reducing variation in credit risk-weighted assets

Reading Time: 4 min.

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.