Risk Modeling for Hazards and Disasters

Risk Modeling for Hazards and Disasters

By: Gero Michel (editor)Paperback

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Risk Modeling for Hazards and Disasters� covers all major aspects of catastrophe risk modeling, from hazards through to financial analysis. It explores relevant new science in risk modeling, indirect losses, assessment of impact and consequences to insurance losses, and current changes in risk modeling practice, along with case studies. It also provides further insight into the shortcomings of current models and examines model risk and ideas to diversify risk assessment. Risk Modeling for Hazards and Disasters instructs readers on how to assess, price and then hedge the losses from natural and manmade catastrophes. This book reviews current model development and science and explains recent changes in the catastrophe modeling space, including new initiatives covering uncertainty and big data in the assessment of risk for insurance pricing and portfolio management. Edited by a leading expert in both hazards and risk, this book is authored by a global panel including major modeling vendors, modeling consulting firms, and well-known catastrophe modeling scientists.� Risk Modeling for Hazards and Disasters� provides important insight into how models are used to price and manage risk.

About Author

Dr. Michel is Senior Vice President, Head of Risk Analytics of Montpelier Re. Dr. Michel joined the Montpelier Group in July 2012 in order to head up risk analytics, a task that involves innovations in risk management, underwriting strategy, as well as the Montpelier Group's own view of risk and risk modelling and liaison with external knowledge centres, brokers, and scientists globally. Prior to joining the Montpelier Group, Dr. Michel was Managing Director of the largest existing joint venture between science and the financial industry, the Willis Research network, along with heading up model development at Willis in London. Prior to this, Dr. Michel headed up international cat underwriting at Endurance Specialty Holdings Ltd., in Bermuda; led the windstorm and flood model development at Risk Management Solutions, Inc. and was a senior actuarial analyst at Hannover Re. Dr. Michel has a PhD and masters in geo-science, was lecturer at Freiberg University in Germany, had a career in geoscience and has a senior level education from Harvard Business School. He has been an invited lecturer at numerous insurance and science events, has published various risk and insurance articles, and has been invited to various panel discussions on risk and cat management. He has over 29 years of experience in risk management and risk modelling..


SECTION I: Catastrophe Models, General Concepts and Methods 1. Quantifying Model Uncertainty and Risk Nilesh Shome, Mohsen Rahnama, Steve Jewson, and Paul Wilson 2. What Makes a Catastrophe Model Robust Jay Guin 3. Towards a more Dynamical Paradigm for Natural Catastrophe Risk Modelling David Stephenson, Alasdair Hunter, Ben Youngman, and Ian Cook 4. Empirical fragility and vulnerability assessment: not just a regression Tiziana Rossett and Ioanna Ioannou SECTION II: Model Creation, Specific Perils and Data 5. The use of historic loss data for insurance and total loss modelling James Daniell, Friedemann Wenzel, and Andreas Schaefer 6. Indirect Loss Potential Index for Natural disasters for National and sub-national analysis James Daniell, Bijan Khazai, Friedemann Wenzel 7. Probability gain from seismicity-based earthquake models Kristy Tiampo, Robert Shcherbakov, and Paul Kovacs 8. Big data challenges and hazards modelling Kristy Tiampo, Seth McGinnis, Yelena Kropivnitskaya, Jinhui Qin, and Michael Bauer 9. Progress towards hyper-resolution models of global flood hazard Paul Bates, Jeff Neal, Chris Sampson, Andy Smith, and Mark Trigg SECTION III: Model Insurance Use-Cases 10. Insurance Pricing and Portfolio Management using Catastrophe Models Helena Bickley and Gero Michel 11. Portfolio Optimization Using Catastrophe Model Results, a Use Case from the Insurance Industry Augustin Yiptong and Gero Michel SECTION IV: Model Risk, Resilience and New Concepts 12. Parsimonious risk assessment and the role of transparent diverse models Patrick McSharry 13. Creating a Probabilistic Catastrophe Model with the Characteristic Event Methodology Karen Clark 14. From Risk Management to Quantitative Disaster Resilience: A New Paradigm for Catastrophe Modelling Slobodan Simonovic 15. Beyond `model risk': a practice perspective on modelling in insurance Andreas Tsanakas and Laure Cabantous

Product Details

  • ISBN13: 9780128040713
  • Format: Paperback
  • Number Of Pages: 338
  • ID: 9780128040713
  • weight: 930
  • ISBN10: 0128040718

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  • Saver Delivery: Yes
  • 1st Class Delivery: Yes
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