Risk Modeling for Hazards and Disasters

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