AIA joins R3 blockchain consortium
June 6 2016 by InsuranceAsia News-
Opinion: Will generative AI be a game-changer when it comes to risk modelling?
- November 22
Algorithms can, in theory, be trained to create predictive models to analyse satellite imagery of cat-affected regions across Asia or forecast a typhoon’s trajectory as well as estimate potential damage and identify high-risk areas.
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US exposures, climate change, pricing challenges weigh on APAC casualty underwriters
- November 15
The casualty market faces challenges in predicting risks due to global interconnectedness and emerging threats like PFAS and cyber.
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SIRC diary: The AI monster
- November 7
The market is already seriously taking a technology that now seems beyond any doubt to have a profoundly transformative impact on all our lives.
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High-quality exposure data key to effective nat cat risk management: Verisk
- November 4
While countries like Australia, New Zealand, and Japan have reliable geocoding and risk data, other markets, including China, India, and South-East Asia, still face gaps.
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BHSI | Managing non-Asian exposure in long-tail lines
While US-exposed business can look attractive to Asian carriers, managing the volatility around the long-term results and the ability to model those losses are crucial, say BHSI’s Marc Breuil and Marcus Portbury.
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Sedgwick | To Handle CAT Claims Well, Multi-Step Preparation is Key
When it comes to risk, it’s not a matter of “if” it’s a matter of “when” an event will occur.
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HSBC Asset Management | Is it time to relook at Asian currency bonds?
With diversification and performance high on investors’ agendas, it seems a good time for global portfolios to revive allocations in Asian local currency bonds – including Hong Kong dollar (HKD) bonds.
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PineBridge Investments | Why Asian insurers are exploring private credit and CLOs
The recent rollout of risk-based capital regimes across Asia calls for a closer alignment between insurers’ assets and liabilities. We explore potential ways to maintain a healthy investment yield and robust returns on regulatory capital.
