Beazley Plc · LSE:BEZ

Beazley — Investor Day (November 2023)

34 slides from Beazley's investor day presentation, November 2023

  1. Slide 1: Capital Markets Day

    Capital Markets Day November 2023

  2. Slide 2: Presenters

    Adrian Cox CEO Bob Quane CUO Richard Montminy Group Head of Property Risks Paul Bantick Group Head of Cyber Risks Aidan Flynn Head of London and International Cyber Underwriting Management

  3. Slide 3: Contents

    Contents 01 04 Introduction Property Q&A 02 05 Property Risks Cyber Risks 03 06 Underwriting for Cyber Q&A climate change 3

  4. Slide 4: Disclaimer notice

    Disclaimer notice Certain statements made in this presentation, both oral and written, are or may constitute The information and opinions contained in this presentation, including any forward-looking “forward looking statements” with respect to the operation, performance and financial condition stat

  5. Slide 5: Introduction

    01 Introduction Capital Markets Day Adrian Cox, CEO 5

  6. Slide 6: Property Risks

    02 Property Risks Richard Montminy Group Head of Property Risks 6

  7. Slide 7: Underwriting property risks to reflect loss trends

    Underwriting property risks to reflect loss trends • Insured losses have grown by 5-7% annually over the past three decades • Natural catastrophe events in 2023 have already surpassed $100 billion • Hurricane Ian in 2022 estimated insured losses of $50-65 billion second only to 2005’s Hurricane Katr

  8. Slide 8: Navigating a changing property market

    Navigating a changing property market • ​Having retooled during the soft market - We retained our focus and market knowledge - Strengthened property pricing and catastrophe modelling • Last 12 months we have been taking advantage of the market conditions in property - Terms and conditions tightened

  9. Slide 9: Property risks - platform premium split

    Property risks - platform premium split Europe North America Global Wholesale Via Lloyd’s 37% % premium share 3% 0% 100% 60% Admitted business Non admitted business Growth HY23 v HY22 -11% 127% 48% 9

  10. Slide 10: Property: What we do

    Property: What we do 1. Geographical split 2. Geographical split 3. Underwriters for property insurance for property reinsurance globally 90% 10% 60% 40% 106 North America Europe & North America Europe & International International 4. Property insurance max 5. Commercial 6. We are a primary market c

  11. Slide 11: Property risk claims ratio

    Property risk claims ratio IFRS 4 Claims ratio for Property Risks 80% 75% 70% Claims ratio 65% 60% 55% 50% Calendar year 2020 2021 2022 11

  12. Slide 12: Stable property risk appetite as shareholder equity increases

    Stable property risk appetite as shareholder equity increases 1 in 250 risk appetite as percentage of shareholder equity 60% 50% 40% 30% 20% 10% 0% 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 12

  13. Slide 13: The reducing impact of a 1 in 10 year event

    The reducing impact of a 1 in 10 year event 1 in 10 year event as a percentage of expected earnings 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 2020 2021 2022 2023 13

  14. Slide 14: Underwriting for climate change

    03 Underwriting for climate change November 2023 14

  15. Slide 15: Materiality of peril to Beazley today

    Materiality Assessment High North Atlantic Hurricane US Flood US Severe Convective Storm (SCS) US Wildfire US Winter Storm Materiality of peril to Beazley today EU Winter Storm EU Flood Japan Typhoon Canada Flood & Wildfire Australia Windstorm EU SCS Japan, Australia & Caribbean Flood Canada, Japan

  16. Slide 16: Climate Risk Framework

    Climate Risk Framework Materiality Assessment Catastrophe Portfolio Scenario Pricing Underwriting modelling Management Analysis

  17. Slide 17: Pricing for Climate Risk

    Pricing for Climate Risk Then Blanket load Models based on climate science and historical data for perils Now Granular modelling Models enhanced for forward looking view of risk Climate conditioned Climate Adjusted Perils Individual catastrophe model Enhanced by analysis US Hurricane peril, asset an

  18. Slide 18: Catastrophe Modelling – a forward looking view

    Catastrophe Modelling – a forward looking view Improving Strengthening Monitoring our our tools our skillset exposure Catastrophe models adjusted for Creation of a natural hazard Restructure of catastrophe non-modelled perils and reflect research function modelling to create dedicated recent events

  19. Slide 19: Portfolio management

    Portfolio management Property Risks Portfolio Management Framework Aim: Maximise profitability while managing risk across exposed natural catastrophe Property Risks classes Segmentation Monitoring Adaptability Property Risks Monitoring of Dynamic re-allocation manage and optimise metrics using forwa

  20. Slide 20: Scenario Analysis – assessing the financial risk of climate change

    Scenario Analysis – assessing the financial risk of climate change Physical risk scenario analysis for three Future business temperature scenarios planning 1.4⁰C, 2⁰C, and 3⁰C Monitoring how Analysis outputs indicate exposure to future climate financial impacts at portfolio Supports risk is developi

  21. Slide 21: Underwriting – individual risk focused

    Underwriting – individual risk focused Climate change metric designed to assess long-term impact of US hurricane risk and factoring in client's own risk management Dialogue improves client and broker interaction – Improves understanding of client resiliency – Drives client retention Underwriting for

  22. Slide 22: Our climate risk management journey

    Our climate risk management journey 01 02 03 04 05 Transitioning to Pricing each peril, Active individual Positive feedback E&S market forward-looking asset and location risk selection loop consistently has agility to modelling updating our effectively approach underwrite property risks in the US 22

  23. Slide 23: Property outlook

    Property outlook • Market conditions continue to be favourable • Expect continued growth in 2024 • Continue the long term build out of the North American commercial property book 23

  24. Slide 24: Property Q&A

    04 Property Q&A November 2023 24

  25. Slide 25: Cyber Risks

    05 Cyber Risks Paul Bantick, Group Head of Cyber Risks Aidan Flynn, Head of London and International Cyber Underwriting Management 25

  26. Slide 26: Cyber Market Update

    Cyber Market Update Rating Environment Market Competition Loss Environment • Rate at end of Q3 is - 4% • European and international • Frequency at Beazley globally, confident on rate demand continues to remains at the low levels adequacy increase vs US previously reported • Achieving planned • Exist

  27. Slide 27: Cyber Market Update: War Exclusion, Threat Intelligence

    Cyber Market Update War Exclusion Threat Intelligence • Market finding parity on approach • Beazley Cyber Council • Full market deployment expected by 1st • Monitoring Geopolitical changes January 2024 • Work on AI • War represents one of the largest potential systemic risks • Continual monitoring o

  28. Slide 28: Cyber Risks – platform premium split

    Cyber Risks – platform premium split Europe North America Global Wholesale Via Lloyd’s 50% % premium share 18% 22% 78% 32% Admitted business Non admitted business Growth HY23 v HY22 34% 4% 22% 28

  29. Slide 29: Catastrophic probabilistic modelling

    Catastrophic probabilistic modelling November 2023 29

  30. Slide 30: Addition of Cyber Probabilistic Model

    Addition of Cyber Probabilistic Model Historic Approach Changes from 2024 • Realistic disaster scenarios (RDS) • From 2024 we are going to manage our internal risk appetite based on our internal • Probabilistic approaches have and will continue to evolve probabilistic model • Prudent capitalisation

  31. Slide 31: Overview of model outputs

    Overview of model outputs • The probabilistic model includes scenarios that are much more remote and extreme than the RDSs • The assumptions that are used within the probabilistic model have been developed internally $m Group Probabilistic • The probabilistic outputs are similar in size to the RDS n

  32. Slide 32: Overview of model outputs

    Overview of model outputs • The gross cyber losses in the probabilistic model is compared to the Cybercube model below at a range of return periods • We are already capitalised to risk that is consistent with external models • We carefully manage dependent business interruption (DBI) exposure, which

  33. Slide 33: Cyber outlook

    Cyber outlook Continued demand for Cyber insurance, especially outside North America 2024 expected to be a year of growth Agile approach - The business will continue to manage according to the threats and market conditions

  34. Slide 34: Cyber Q&A

    06 Cyber Q&A November 2023 34

Beazley — Investor Day (November 2023) on 6ix