Natural Catastrophe Risk Management and Modelling

Natural Catastrophe Risk Management and Modelling

Author: Kirsten Mitchell-Wallace

Publisher: John Wiley & Sons

Published: 2017-06-26

Total Pages: 550

ISBN-13: 1118906047

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This book covers both the practical and theoretical aspects of catastrophe modelling for insurance industry practitioners and public policymakers. Written by authors with both academic and industry experience it also functions as an excellent graduate-level text and overview of the field. Ours is a time of unprecedented levels of risk from both natural and anthropogenic sources. Fortunately, it is also an era of relatively inexpensive technologies for use in assessing those risks. The demand from both commercial and public interests—including (re)insurers, NGOs, global disaster management agencies, and local authorities—for sophisticated catastrophe risk assessment tools has never been greater, and contemporary catastrophe modelling satisfies that demand. Combining the latest research with detailed coverage of state-of-the-art catastrophe modelling techniques and technologies, this book delivers the knowledge needed to use, interpret, and build catastrophe models, and provides greater insight into catastrophe modelling’s enormous potential and possible limitations. The first book containing the detailed, practical knowledge needed to support practitioners as effective catastrophe risk modellers and managers Includes hazard, vulnerability and financial material to provide the only independent, comprehensive overview of the subject, accessible to students and practitioners alike Demonstrates the relevance of catastrophe models within a practical, decision-making framework and illustrates their many applications Includes contributions from many of the top names in the field, globally, from industry, academia, and government Natural Catastrophe Risk Management and Modelling: A Practitioner’s Guide is an important working resource for catastrophe modelling analysts and developers, actuaries, underwriters, and those working in compliance or regulatory functions related to catastrophe risk. It is also valuable for scientists and engineers seeking to gain greater insight into catastrophe risk management and its applications.


Catastrophe Modeling

Catastrophe Modeling

Author: Patricia Grossi

Publisher: Springer Science & Business Media

Published: 2006-01-27

Total Pages: 256

ISBN-13: 0387231293

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Based on the research that has been conducted at Wharton Risk Management Center over the past five years on catastrophic risk. Covers a hot topic in the light of recent terroristic activities and nature catastrophes. Develops risk management strategies for reducing and spreading the losses from future disasters. Provides glossary of definitions and terms used throughout the book.


Integrated Catastrophe Risk Modeling

Integrated Catastrophe Risk Modeling

Author: Aniello Amendola

Publisher: Springer Science & Business Media

Published: 2012-12-11

Total Pages: 290

ISBN-13: 9400722265

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Efficient and equitable policies for managing disaster risks and adapting to global environmental change are critically dependent on development of robust options supported by integrated modeling. The book is based on research and state-of-the art models developed at IIASA (International Institute for Applied Systems Analysis) and within its cooperation network. It addresses the methodological complexities of assessing disaster risks, which call for stochastic simulation, optimization methods and economic modeling. Furthermore, it describes policy frameworks for integrated disaster risk management, including stakeholder participation facilitated by user-interactive decision-support tools. Applications and results are presented for a number of case studies at different problem scales and in different socio-economic contexts, and their implications for loss sharing policies and economic development are discussed. Among others, the book presents studies for insurance policies for earthquakes in the Tuscany region in Italy and flood risk in the Tisza river basin in Hungary. Further, it investigates the economic impact of natural disasters on development and possible financial coping strategies; and applications are shown for selected South Asian countries. The book is addressed both to researchers and to organizations involved with catastrophe risk management and risk mitigation policies.


Risk Modeling for Hazards and Disasters

Risk Modeling for Hazards and Disasters

Author: Gero Michel

Publisher: Elsevier

Published: 2017-08-29

Total Pages: 342

ISBN-13: 0128040939

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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. - Includes high profile case studies such as the Newcastle earthquake, Hurricane Andrew and Hurricane Katrina - Provides crucial information on new ideas and platforms that will help address the new demands for risk management and catastrophe risk reporting - Presents the theory and practice needed to know how models are created and what is and what is not important in the modeling process - Covers 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


Catastrophe Risk and Reinsurance

Catastrophe Risk and Reinsurance

Author: Eugene N. Gurenko

Publisher: World Bank Publications

Published: 2004

Total Pages: 366

ISBN-13: 1904339204

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Including the latest invaluable insights into catastrophe reinsurance, this book provides you with a wealth of risk management expertise gained from many of the largest catastrophe risk transfer programmes worldwide.


Macroeconomic Risk Management Against Natural Disasters

Macroeconomic Risk Management Against Natural Disasters

Author: Stefan Hochrainer

Publisher: Springer Science & Business Media

Published: 2007-12-14

Total Pages: 213

ISBN-13: 3835094416

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Stefan Hochrainer develops a catastrophe risk management model. It illustrates which trade-offs and choices a country must make in managing economic risks due to natural disasters. Budgetary resources are allocated to pre-disaster risk management strategies to reduce the probability of financing gaps. The framework and model approach allows cross country comparisons as well as the assessment of financial vulnerability, macroeconomic risk, and risk management strategies. Three case studies demonstrate its flexibility and coherent approach.


Risk Assessment, Modeling and Decision Support

Risk Assessment, Modeling and Decision Support

Author: Ann Bostrom

Publisher: Springer Science & Business Media

Published: 2008-02-10

Total Pages: 339

ISBN-13: 3540711589

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The papers in this volume integrate results from current research efforts in earthquake engineering with research from the larger risk assessment community. The authors include risk and hazard researchers from the major U.S. hazard and earthquake centers. The volume lays out a road map for future developments in risk modeling and decision support, and positions earthquake engineering research within the family of risk analysis tools and techniques.


Catastrophe Risk Financing in Developing Countries

Catastrophe Risk Financing in Developing Countries

Author: J. David Cummins

Publisher: World Bank Publications

Published: 2009

Total Pages: 299

ISBN-13: 0821377361

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'Catastrophe Risk Financing in Developing Countries' provides a detailed analysis of the imperfections and inefficiencies that impede the emergence of competitive catastrophe risk markets in developing countries. The book demonstrates how donors and international financial institutions can assist governments in middle- and low-income countries in promoting effective and affordable catastrophe risk financing solutions. The authors present guiding principles on how and when governments, with assistance from donors and international financial institutions, should intervene in catastrophe insurance markets. They also identify key activities to be undertaken by donors and institutions that would allow middle- and low-income countries to develop competitive and cost-effective catastrophe risk financing strategies at both the macro (government) and micro (household) levels. These principles and activities are expected to inform good practices and ensure desirable results in catastrophe insurance projects. 'Catastrophe Risk Financing in Developing Countries' offers valuable advice and guidelines to policy makers and insurance practitioners involved in the development of catastrophe insurance programs in developing countries.


Calculating Catastrophe

Calculating Catastrophe

Author: G. Woo

Publisher: World Scientific

Published: 2011

Total Pages: 368

ISBN-13: 1848167407

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1. Natural hazards. 1.1. Causation and association. 1.2. Extra-terrestrial hazards. 1.3. Meteorological hazards. 1.4. Geological hazards. 1.5. Geomorphic hazards. 1.6. Hydrological hazards -- 2. Societal hazards. 2.1. Political violence. 2.2. Infectious disease pandemics. 2.3. Industrial and transportation accidents. 2.4. Fraud catastrophe -- 3. A sense of scale. 3.1. Size scales of natural hazards. 3.2. Hazard spatial scales. 3.3. The human disaster toll. 3.4. Models of a fractal world -- 4. A measure of uncertainty. 4.1. The concept of probability. 4.2. The meaning of uncertainty. 4.3. Aleatory and epistemic uncertainty. 4.4. Probability ambiguity. 4.5. The weighing of evidence -- 5. A matter of time. 5.1. Temporal models of hazards. 5.2. Long-term data records. 5.3. Statistics of extremes -- 6. Catastrophe complexity. 6.1. Emergent catastrophes. 6.2. Financial crashes. 6.3. Ancillary hazards -- 7. Terrorism. 7.1. A thinking man's game. 7.2. Defeating terrorist networks. 7.3. Counter-radicalization -- 8. Forecasting. 8.1. Earthquake forecasting. 8.2. Verification. 8.3. River flows and sea waves. 8.4. Accelerating approach to criticality. 8.5. Evidence-based diagnosis -- 9. Disaster warning. 9.1. Decision in the balance. 9.2. Evacuation. 9.3. The wisdom of experts -- 10. Disaster scenarios. 10.1. Scenario simulation. 10.2. Footprints and vulnerability. 10.3. Fermi problems -- 11. Catastrophe cover. 11.1. Probable maximum loss. 11.2. Coherent risk measures. 11.3. The Samaritan's dilemma -- 12. Catastrophe risk securitization. 12.1. Catastrophe bonds. 12.2. The price of innovation -- 13. Risk horizons. 13.1. Ecological catastrophe. 13.2. Climate change. 13.3. War and conflict resolution