### Open Risk Academy Course: Tensor Calculations with the Eigen C++ Library

A DeepDive using the Eigen C++ Library to perform Tensor calculations

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. We learn the concept and techniques of the Eigen Tensor class How to declare, initialize Tensors of various ranks and types and how to access Tensor elements Elementary unary and binary operations involving Tensors More complex operations (reductions, contractions) Modifying the shape of Tensors The course is now live at the Academy, the github repository hosts C++ scripts used in the course.

### Climate Dictionary Quiz

The Climate Dictionary Quiz is now accessible as a course at the Open Risk Academy. The Quiz is based on the UN Climate Dictionary and provides an interactive educational tool to enable deeper understanding of the essential terminology.

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. Image: NASA Temperature Anomaly The Dictionary selects several dozen important climate concepts that are currently actively discussed worldwide with the aim to make them more accessible and relatable to individuals from various backgrounds and levels of expertise.

### Open Risk Academy Course: Input-Output Models with Python

A DeepDive Course into using Python to work with Input-Output Models

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.

### 9 Ways Graphs Show Up in Data Science

We explore a variety of distinct uses of graph structures in data science. We review various important graph types and sketch their linkages and relationships. The review provides an operational guide towards a better overall understanding of those powerful tools

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!). It is not meant to be a rigorous mathematical or computer science classification of graphs but rather an operational guide towards a better overall understanding of those powerful tools.

### An introduction to Semantic Python

A CrashCourse introduction to semantic data using Python covering a number of frameworks such as rdflib, owlready and pySHACL

Course Content This CrashCourse is an introduction to semantic data using Python. 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 Who Is This Course For The course is useful to:

### 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

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. At Open Risk we have been tracking and will continue to interpret the impact of the pandemic via a number of projects:

### New Open Risk Academy Course: Introduction to Geojson

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 Who Is This Course For The course is useful to: Any developer or data scientist that wants to work with geospatial features encoded in the geojson format How Does The Course Help Mastering the course content provides background knowledge towards the following activities:

### New Open Risk Academy Course: Simulation of Credit Contagion

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 Who Is This Course For The course is useful to: Risk Analysts across the financial industry and beyond Risk Management students Quantitative Risk Managers developing or validating risk models How Does The Course Help Mastering the course content provides background knowledge towards the following activities:

### An overview of EU Financial Regulation initiatives

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. A new entry at the Open Risk Manual aims to provide a brief overview of ongoing projects / initiatives.

### Data Quality and Exploratory Data Analysis using Python

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

Loan Level Templates Using Python

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 This blog has been verified by Rise: Rcf8d5e45f6964ba5d03bda4020a97dda

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? On the small-scale end of the size spectrum we have the domain of startups and SME’s.

### Risk Management Skills for the Fintech Era

Risk Management Skills for the Fintech Era 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: As main drivers for this true jobs hecatomb are cited higher minimum capital requirements (that depress Return on Equity and hence require lower costs to restore it to investor acceptable levels), low interest rates that erode Profitability Margins, and a generally subdued economic landscape which reduces Volumes.

### Open Source Risk Data with MongoDB and Python

Open Source Risk Data with MongoDB and Python 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.

### The periodic table of risk elements

The periodic table of risk elements 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.

### Concentrating on Concentration Risk

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

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. Yet that’s what we have at this stage and with lemons we do lemonade.