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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.

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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.

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SARON hedging strategies

Hedging of SARON exposure, Part II

On 5 March 2021, the Financial Conduct Authority (FCA) announced the official dates of the cessation and loss of representativeness of the LIBOR rates. As a result, 31 December 2021 will be the last day on which the CHF LIBOR will be published. During the last months, a multitude of informative documents were provided by the Alternative Reference Rates Committee (ARRC) and the International Swaps and Derivatives Association (ISDA). As a follow-up from the previous article Hedging of SARON exposure, Part I: Explanatory power of SARON term and actual rates, this article assesses the different compounding methodologies with respect to hedging strategy.

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IBOR transition: fallback solutions in illiquid markets

At the end of this year, the LIBOR we currently know will be discontinued. For some currencies, the calculation methodology will be adjusted, while others will move to a brand new or alternative risk-free rate (RFR). This also holds for the dollar LIBOR, which will be replaced by the Secured Overnight Financing Rate (SOFR). However, some currencies use the USD LIBOR as a basis for their current reference rates, mainly due to liquidity concerns. Therefore, these FX implied rates face an additional challenge.

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Machine learning in risk management

Machine learning (ML) models have already been around for decades. The exponential growth in computing power and data availability, however, has resulted in many new opportunities for ML models. One possible application is to use them in financial institutions’ risk management. This article gives a brief introduction of ML models, followed by the most promising opportunities for using ML models in financial risk management.

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