This whitepaper will guide you on how to run your programme of work for SFTR. It highlights the most pressing and difficult areas that you should be aware of and gives a balanced view on the best solutions, including a comparison of the reporting models available.
An outline of the critical areas to consider when assessing your plan for IFRS 17 and LDTI.
This white paper details the challenges ahead, and shows how the application of workflow, and document collaboration technologies coupled with artificial intelligence (AI), can help manage these challenges and facilitate LIBOR transition at scale.
In our 2020 risk management guide, we provide our expert view on the market outlook and outline how you can solve your risk challenges with Risk as a Service – the easy way to manage risk across the enterprise, from complex risk calculations, modeling, analytics, managing risk data and reporting.
In this paper, we will examine five of the key trends that are impacting these global markets, especially the increasing penetration of renewable energy resources.
MORS Software has developed this guide for banks, when selecting a new Treasury Management System (TMS) or Asset Liability Management (ALM) system (or both). The paper also outlines MORS Software’s approach to delivering and implementing Treasury ALM systems.
This white paper explores the current trends and future of structured products, and how the digital evolution is impacting the market. It further examines the necessary technology to optimally operate a structured products business and the outlook for the market.
This white paper aims at estimating credit risk by modelling the Credit Conversion Factor (CCF) parameter related to the Exposure-at-Default (EAD). It has been decided to perform the estimation thanks to stochastic processes instead of usual statistical methodologies (such as classification…
Model Risk Management for a Trading Firm’s Calculations - A Data Centric View of Model Risk Management
This white paper appraises four pieces of regulation that directly address the management of risk within models. It further gives an overview of the importance of data lineage in a modeling ecosystem and provides background to some key data lineage concepts.
This Risk Report offers important global perspectives from 1,050 organisations on the state of digital risk including top risk management priorities, the changes being implemented to manage risk today and drivers for future investment.