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The unresolved issues of Solvency II
21 February 2013The delay of full implementation to beyond 2014 will allow extra time for important details in all three pillars of Solvency II to be resolved – and may bring old niggles to the surface again. Lorna Davies looks into some of the outstanding issues, for policy-makers and insurers, that will be kicked over in the coming months
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Insurance enterprise risk managment: the state it's in
14 February 2013Insurers' satisfaction with ERM grows, but plans for using economic capital stall - these are among the seven key findings from Towers Watson's recent worldwide survey. Christopher Cundy asks Laura Santori and Martin Pike to explain
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Solvency II: who's ready to comply?
12 February 2013As regulators plan to introduce elements of pillars 2 and 3 from 1 January 2014, InsuranceERM takes a tour of the major European countries to see how prepared they are – and where they may have problems complying
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ICAS+ could be more onerous than running two models
06 February 2013Towers Watson outlines pros and cons of UK's plan for use of Solvency II internal models
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Individual underwriting could see pension buy-ins booming
05 February 2013Potential £380bn of deals if regulation and data sharing improves, says PI
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Insurers' investment strategies at stake in LTG proposals
30 January 2013Industry should take opportunity to give feedback, says Towers Watson
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The US ORSA will benefit ERM, say majority of P/C insurers
24 January 2013But Towers Watson survey also shows 21% see ORSA as compliance-driven
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With-profits rules "disproportionately hard" for small mutuals
16 January 2013FSA opened consultation in December
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Harmonising risk management and business planning
31 December 2012Towers Watson's Boke de Pater and DIMA's Stephen Devine respond to InsuranceERM's 2012/2013 Q&A
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Predictive modelling needs man and machine to co-exist
21 August 2012Predictive models used by insurers to manage risk and capital and support pricing could become automated, commodity items. But human judgement and overall method will remain the keys to refining models in the future, according to Duncan Anderson