Knowledge Base Articles
Introduction to Credit Index Modelling
This article will discuss why it is important to model credit indices and detail a number of different approaches to this problem.
Overcoming the Insufficiency of Historical Data; The Rolling Window Method
In this article, we evaluate the rolling window procedure to alleviate the problem of inadequate data by increasing the number of observations extracted from a limited set of data.
Establishing a Framework for Operational Risk
In this article, we will develop a framework for structuring the operational risk within a company.
CVA - Lessons and Outcomes from the Financial Credit Crisis
This article will focus on explaining what CVA is as well as regulatory measures regarding CVA. In later parts of this series, we will describe and evaluate different methods for modelling CVA.
An Introduction to Operational Risk
We will in this article give an introduction to operational risk, and explain the subject as it is defined in Basel II.
P&L Attribution: Similarities and Differences between FRTB and Solvency II
In this article, we discuss the challenges of implementing the internal model approach under FRTB and Solvency II. In particular, we focus on the P&L Attribution test, which financial institutions have to continuously perform and pass to maintain their eligibility for internal model use. The article outlines the similarities and differences between the two regulatory regimes that require the P&L Attribution test; FRTB for banks and Solvency II for insurance companies.
December 2018 News Update
We've summarised the most exciting news in the areas of automated investment advice and balance sheet risk. The large participants of wealth management industry explore the automated financial offerings, driven by the anticipations of double-digit growth of that market until 2023. The opportunities of automation have been contemplated by the UK's DIY investment facilitators and mortgage providers this month. Furthermore, in December the Basel committee published the report analysing and comparing the banks' cyber risk practices; the potential AI applications to accounting are being explored by the experts and the FRTB framework going live may be postponed.
November 2018 News Update
We've selected the most intriguing news from the domains of automated financial advice and balance sheet risk. The biggest global financial institutions carry on expanding their offerings with robo-advisors, while some of the established automated investment advice providers launch an option to pursue sustainable investments or compliment the digital experience with "human touch". Meanwhile, the industry continues to discover new applications of AI - for instance, modelling illiquid assets as a means of preparing to upcoming FRTB directive, or reducing the time spent on populating tax return forms.
Redesign and Reuse: Gauging the Non-Modellable Risks under FRTB
The set of Basel III rules finalized the development of the regulatory capital framework’s post-crisis reforms, accompanied by an industry's lobby battle. However, there is an element of the newly developed FRTB regime, which carries on keeping the industry leaders awake during the nights: the new approach to treating the non-modellable risk factors (NMRFs). This topic is gaining prominence both due to the knotty nature of these risks and because 29% of total market risk capital charges under FRTB could be attributable to NMRFs. However, we argue that despite the differences in the treatment of hard-to-model risks, the existing framework could still be put to use while addressing the new FRTB requirements.