Solutions

For
Insurers

Insurers face unique challenges when it comes to investing, and the sustained low-yield environment has put the industry under unprecedented pressure. It’s more important than ever to optimize bond allocation whilst effectively managing credit risk to comply with regulatory constraints.

bondIT helps insurers to minimise credit risk and translate risk and return requirements into optimal portfolios, considering specific constraints.  

With an increasingly less favourable market environment insight and nimbleness is crucial. BondIT’s technology empowers clients to build and rebalance portfolios at the click of a button. .

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Case Study

bondIT & Ampega

“Thanks to the signals that Scorable generates, changes in credit risk can be identified at an early stage. This enables our portfolio managers to derive recommendations for action and carry out timely portfolio reallocations”.
Stefan Kopf
Head of Fixed Income at Ampega Asset Management.

Ampega Asset Management has been a collaboration partner and early adopter of Scorable’s credit analytics. They were looking for a solution to help them better understand and anticipate credit risk, one of the major challenges in today’s fixed income world. Ampega is responsible for the assets held by Talanx, a major European insurance group whose brands include HDI and Hannover Re, and has currently €160 billion assets under management.

Scorable’s Rating Transition Signals complement Ampega’s credit watchlist process, helping the asset manager identify anomalies and the associated price fluctuations at individual issuer level ahead of the market.

Scorable’s Explainable-AI approach is of major importance to Ampega, because it creates transparency and enables the portfolio managers to easily track and understand the model information as well as the drivers behind changes in the risk score of individual issuers.

Another important feature is Scorable’s Alerts Engine, which allows the analysts to define relevant criteria, including changes in downgrade or upgrade probability, relative value classifications or external ratings, and receive daily updates on changes straight to their inbox.

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