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This presentation by John Doe from the South African Insurance Association (SAIA) discusses the NLUR parameters for SA QIS 3, with a focus on trade credit and surety non-life underwriting risk. It covers the history and current developments of the SCR NLUR, as well as the impact of cat recessionary charge and 1 in 200 year loss ratios. The presentation also explores options for calculating the loss ratio and outlines the next steps for NLUR. References to relevant studies and documents are provided.
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Titel hier presented by John Doe Date here SOUTH AFRICAN INSURANCE ASSOCIATION
Trade Credit and Surety Non-Life Underwriting Risk (NLUR) parameters for SA QIS 3 13 June 2013
WG Structure ICISA S2 Expert Group SAIA TCS Forum
History and current developments * EIOPA = EIOPA Solvency 2 Cat Task Force
Reasonability?CAT RecessionaryV prem * 75% • How do you separate out cat frequency event? (Same issue applies to other classes eg Prop Commercial and crop) • CAT Recessionary charge must be considered together with σprem and σres! • Else will double count! (ICISA would prefer combined charge) • Look at 1 in 200 year loss ratio implied by proposed charges and then compare to industry experience So the key question is: What is the 1 in 200 year Loss ratio?
CAT RecessionaryWhat is the 1 in 200 year Loss ratio? Implied by SA QIS 2 parameters – using ICISA spreadsheet
CAT RecessionaryWhat is the 1 in 200 year Loss ratio? - ICISA ICISA study Feb 2012 1 in 200 high (215%) 1 in 200 low (165%)
CAT RecessionaryWhat is the 1 in 200 year Loss ratio? - ICISA • ICISA study Feb 2012 • Financial crisis 2008/9 was the worst crisis in the last 75 years (at least a 1 in 75 year event) • Average loss ratios doubled from 40% to 80%, • But recovered very quickly by 2010 (faster than overall economy) • Ability to manage credit limits by reducing or cancelling exposures at short notice (“dynamic exposure management”) • SA has further flexibility because policy terms also allow (trade credit) premium rates to be changed with 30 days notice (European terms generally annual)
CAT RecessionaryWhat is the 1 in 200 year Loss ratio? – SA industry • Distribution fitted to loss ratios past 20 years • Internal models • Management views • Need to take cogniscence of ability to manage down exposures and increase premiums 1 in 200 loss ratio? Considered Trade Credit and Surety separately
Cat recessionaryWhat is the 1 in 200 year Loss ratio? – SA industry • Option 1: • 55% V prem credit + 75% V prem surety • Better reflection of underlying risk • Suggest do not split premium and reserve risk at this stage, as this reduces credibility of data pool, which is already small. Maybe consider later • Could modify to allow for diversification / correlation • Option 2 • 60% V prem • Simpler
Cat recessionaryWhat is the 1 in 200 year Loss ratio? – SA industry • Option 3 • Shock should be applied to actual loss ratio, not break-even loss ratio (similar to mortality shock) • May be tested as part of SA QIS 3 • Eg 75% * Actual loss ratio / assumed break-even loss ratio • Use at least 10 years loss ratio data (due to TCS underwriting cycle) • Better reflection of underlying risk • But may be distorted by inclusion of IBNR
Next steps for NLUR • Premium and reserve risk calibration • Allow for cat? Outliers? Credibility? • Man-made catastrophe • Discussion document has been drafted by NLUR, incorporating SAIA TCS research, update for new feedback • Impact studies • Economic impact • Consider equivalent banking products (market penetration and solvency)
References • FSB SA QIS 1 and 2 technical specifications • FSB NLUR Data Request 2012 • ICISA CAT Scenarios for Credit and Suretyship May 2011 (draft) • ICISA Impact Study SCR non-life Nov 2011 • ICISA NLUR for Trade Credit Insurance • ICISA LGD study May 2012 (draft) • Draft Discussion Document - SAM man-made catastrophe sub-working group Credit and Surety module May 2013 • EIOPA Calibration of Premium and reserve risk factors in Standard Formula of S2, 12 Dec 2011
Titel hier presented by John Doe Date here Thank you!