Latest Insights

On the move for an Operational Resilience Framework

Currently, for many organizations, operational resilience is at the top of the agenda of the Board and senior management. The COVID-19 pandemic clearly showed how vulnerable societies and organizations can be to unexpected and unforeseen events.

Trends in Treasury for the Insurance Industry

Plan your priorities for 2022

Innovative developments in cash management, combined with the application of cutting-edge technologies, ensure that the corporate treasury function is heading towards a truly real-time, frictionless and data-rich environment. For treasurers in the insurance industry, this article looks ahead to the final quarter of 2021 and explores the key trends to understand and monitor.

Climate Change Risk Management for insurers

How to integrate into your governance, risk management and ORSA

Climate change risks are relatively newly identified risks that insurers are facing. These risks can negatively impact both assets and liabilities of insurers. Already in 2018, the European Commission requested the European Insurance and Occupational Pensions Authority (EIOPA) to investigate how climate change risk could be integrated into the Solvency II Framework.

Traveling with bitcoins

In the past 20 years, all industries have felt the impact of technological innovation. In some cases, this impact has been so great that disruption has occurred. A clear and often used example is the travel industry, where companies that did not exist 20 years ago, like AirBnB and Booking.com, are now major players.

News Sentiment Analysis and Credit Risk

Do we still need humans to monitor and interpret qualitative data for our risk models?

Recent technological advances increase the possibility of using qualitative data in risk models to ensure a timelier recognition of threats. News articles, which can be seen as a type of unstructured data, are flooding the world every day. However, one can imagine the time it would take to manually process all this information. Recent developments in natural language processing (NLP) show some very promising results in automating that task by a computer. We assess the possibilities of these recent advances within credit risk management.