Open Risk Academy

What are the UN Open Source Principles?

The UN Open Source Principles is a set of eight high-level guiding principles that were recently adopted by the UN Chief Executive Board’s Digital Technology Network (DTN). They open a new window and provide guidelines to drive collaboration and Open Source adoption within the UN and globally. They send a strong signal of the importance of open source and how individuals and organisations need to act to benefit but also support a thriving and sustainable open source community.

Expanding on the popular Input-Output Models with Python course

The SFI32064 course is a DeepDive with nine segments, exploring Input-Output models using Python and the Pymrio library. The following is an updated overview of it contents.

Course Objective

The objective of the course is to provide an introduction to using Eigen::Tensor as a high-level library for using Tensors in C++ projects.

The Climate Dictionary is an initiative of the United Nations Development Programme (UNDP) aimed at providing people worldwide with a simplified guide to understand climate change. The Dictionary (first published Aug 2023) seeks to bridge the gap between complex scientific jargon such as present in the IPCC publications and other scientific bodies and the public.

What are Input-Output Models?

Environmentally Extended Multi-Regional Input-Output (EE-MRIO) tables describe economic relationships of economic actors (e.g. industrial sectors) operating within and between regions and their environmental repercussions.

An EE MRIO augments the more basic and historically first proposed Input-Output Models (IO) with additional datasets and/or modeling assumptions in order to provide insights into the environmental foorprint of economic activity. Presently, the emphasis on negative externalities of economic activity (e.g., climate change, biodiversity loss) turns EE MRIO models into a useful conceptual and analytic tool. Yet a good grounding on the underlying IO models is a prerequisite and this is the focus of this new course that is now available at the Open Risk Academy.

Course Objective

Graphs (and the related concept of Networks) have emerged from a relative mathematical and physics niches to become mainstream models for describing and interpreting various phenomena. The objective of the course is to review various important graph types as they are increasingly explored in data science and sketch their linkages and relationships (a graph of graphs!).

This CrashCourse is an introduction to semantic data using Python.

Course Content

It covers the following topics:

• We learn to work with RDF graphs using rdflib
• We explore the owlready package and OWL ontologies
• We look into json-ld serialization of RDF/OWL data
• We try data validation using pySHACL
• We use throughout a realistic data set based on the Credit Ratings Ontology

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.

Course Content

This course is a CrashProgram (short course) introducing the GeoJSON specification for the encoding of geospatial features. The course is at an introductory technical level. It requires some familiarity with data specifications such as JSON and a very basic knowledge of Python

Course Content

This course is an introduction to the concept of credit contagion. It covers the following topics:

• Contagion Risk Overview and Definition
• Various Contagion Types and Modelling Challenges
• The Simple Contagion Model by Davis and Lo
• Supply Chains Contagion
• Sovereign Contagion

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.

Data Quality and Exploratory Data Analysis using Python

In two new Open Risk Academy courses we figure step by step how to use python to work to review risk data from a data quality perspective and how to perform exploratory data analysis with pandas, seaborn and statsmodels:

• Introduction to Risk Data Review
• Exploratory Data Analysis using Pandas, Seaborn and Statsmodels

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

Business Model Risk - The Forgotten Risk Type

Sustainable business models that demonstrate adequate profitability over long horizons are key to a healthy market economy. This applies to firms and organizations of any size and in any sector. But how do we determine what is sustainable and how can we tell a risky business structure from a stable one?

Financial services jobs continue being decimated. A recent (as of the initial post date) FT article was a sobering summary of the continuing transformation of the financial sector: 2015 alone has seen more than 10% reduction of the total workforce across large EU/US banks:

Open source software is all the rage those days in IT and the concept is making rapid inroads in all parts of the enterprise. An earlier comprehensive survey by Gartner, Inc. found that by 2011 more than half of organizations surveyed had adopted open-source software (OSS) solutions as part of their IT strategy. This percentage may have currently exceeded the 75% mark according to open source advisory firms.

You know the periodic table of elements, even if you flunked your science courses! It is the large colorful and blocky table that hanged on every school’s classrooms before becoming yet another mobile app. The periodic table is one of the early and iconic achievements of science. It lists all the pure chemical elements found in nature, the building blocks of all possible material substances. Each block contains a set of numbers that unambiguously characterizes each element and a single or two letter abbreviation for each: H for Hydrogen, He for Helium and so forth, going on for over a hundred different elements. When the periodic table was discovered by Mendeleev (apparently in his dream!) it was an extraordinary realization that the physical world has an underlying order at the microscopic level. In his own words:

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.

A mini course on risk management, its perils and the silver lining

When talking about risk management, it is not very clear what we are talking about in broad terms, definitely not getting clearer when we start getting into the details and it is even not clear how to best use the (possibly flawed) insights we produce.

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: