Whether man-made or naturally occurring, large-scale disasters can cause fatalities and injuries, devastate property and communities, savage the environment, impose significant financial burdens on individuals and firms, and test political leadership. Moreover, global challenges such as climate change and terrorism reveal the interdependent and interconnected nature of our current moment: what occurs in one nation or geographical region is likely to have effects across the globe. Our information age creates new and more integrated forms of communication that incur risks that are difficult to evaluate, let alone anticipate. All of this makes clear that innovative approaches to assessing and managing risk are urgently required. When catastrophic risk management was in its inception thirty years ago, scientists and engineers would provide estimates of the probability of specific types of accidents and their potential consequences. Economists would then propose risk management policies based on those experts' estimates with little thought as to how this data would be used by interested parties. Today, however, the disciplines of finance, geography, history, insurance, marketing, political science, sociology, and the decision sciences combine scientific knowledge on risk assessment with a better appreciation for the importance of improving individual and collective decision-making processes. The essays in this volume highlight past research, recent discoveries, and open questions written by leading thinkers in risk management and behavioral sciences. The Future of Risk Management provides scholars, businesses, civil servants, and the concerned public tools for making more informed decisions and developing long-term strategies for reducing future losses from potentially catastrophic events. Contributors: Mona Ahmadiani, Joshua D. Baker, W. J. Wouter Botzen, Cary Coglianese, Gregory Colson, Jeffrey Czajkowski, Nate Dieckmann, Robin Dillon, Baruch Fischhoff, Jeffrey A. Friedman, Robin Gregory, Robert W. Klein, Carolyn Kousky, Howard Kunreuther, Craig E. Landry, Barbara Mellers, Robert J. Meyer, Erwann Michel-Kerjan, Robert Muir-Wood, Mark Pauly, Lisa Robinson, Adam Rose, Paul J. H. Schoemaker, Paul Slovic, Phil Tetlock, Daniel Vastfjall, W. Kip Viscusi, Elke U. Weber, Richard Zeckhauser.

Financial Mathematics for Actuarial Science: The Theory of Interest is concerned with the measurement of interest and the various ways interest affects what is often called the time value of money (TVM). Interest is most simply defined as the compensation that a borrower pays to a lender for the use of capital. The goal of this book is to provide the mathematical understandings of interest and the time value of money needed to succeed on the actuarial examination covering interest theory Key Features Helps prepare students for the SOA Financial Mathematics Exam Provides mathematical understanding of interest and the time value of money needed to succeed in the actuarial examination covering interest theory Contains many worked examples, exercises and solutions for practice Provides training in the use of calculators for solving problems A complete solutions manual is available to faculty adopters online

This book is the first and only study on implementing Universal Health Coverage in poor, rural and informal settings, with end-to-end guidance for rolling out a demand-driven and needs-based health insurance model. The chapters are comprehensive, covering topics such as data collection and analysis for contextual risk assessment, the design of suitable benefits packages, how to price microinsurance, insurance education for illiterate or innumerate populations, the setting up of governance bodies and training staff for key roles, and information management.The book contains insights gained from years of fieldwork in several countries and is valuable reading for undergraduate and graduate students and practitioners of health microinsurance. As a companion to the author's first book, Financing Micro Health Insurance: Theory, Methods and Evidence, this book provides the only current source of information on implementing health microinsurance. The practical guidelines to setting up and operating a microinsurance scheme are accompanied by impact evaluation, chapter exercises and Issue Briefs that present examples of using tools that are necessary for successful implementation.

A practical guide to adopting an accurate risk analysis methodology The Failure of Risk Management provides effective solutionstosignificantfaults in current risk analysis methods. Conventional approaches to managing risk lack accurate quantitative analysis methods, yielding strategies that can actually make things worse. Many widely used methods have no systems to measure performance, resulting in inaccurate selection and ineffective application of risk management strategies. These fundamental flaws propagate unrealistic perceptions of risk in business, government, and the general public. This book provides expert examination of essential areas of risk management, including risk assessment and evaluation methods, risk mitigation strategies, common errors in quantitative models, and more. Guidance on topics such as probability modelling and empirical inputs emphasizes the efficacy of appropriate risk methodology in practical applications. Recognized as a leader in the field of risk management, author Douglas W. Hubbard combines science-based analysis with real-world examples to present a detailed investigation of risk management practices. This revised and updated second edition includes updated data sets and checklists, expanded coverage of innovative statistical methods, and new cases of current risk management issues such as data breaches and natural disasters. Identify deficiencies in your current risk management strategy and take appropriate corrective measures Adopt a calibrated approach to risk analysis using up-to-date statistical tools Employ accurate quantitative risk analysis and modelling methods Keep pace with new developments in the rapidly expanding risk analysis industry Risk analysis is a vital component of government policy, public safety, banking and finance, and many other public and private institutions. The Failure of Risk Management: Why It's Broken and How to Fix It is a valuable resource for business leaders, policy makers, managers, consultants, and practitioners across industries.

This classic social insurance work has been updated to cover a decade of policy developments and the impact of the recent economic crisis.The book includes in-depth discussion of all major programs to reduce economic insecurity in the United States, including Social Security, Medicare, workers' compensation, unemployment compensation, and temporary disability insurance. The principles, characteristics, and policy issues associated with social insurance and public assistance programs are discussed in detail. The book examines each major cause of economic insecurity and analyzes the appropriate social insurance program for dealing with the problem.

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

Environmental sustainability is perhaps the key societal challenge of our times. Achieving it will require a significant level of financing and investment, and here the role of the banking industry is fundamental. Banks can play a broader and far-reaching role by adopting environmental concerns in their internal and external business operations. Principles of Green Banking is a comprehensive account of the different aspects of green banking and offers theories and principles as well as practical how-to guidelines to adopt green banking practices. This book discusses why green banking is central to achieving sustainable development. It illustrates the evolution of green banking around the world, different types of environmental risks created by firms and how these risks offer threats to sustain ability, and ongoing trends and patterns of green banking practice. Critically, it also presents an outline of the regulatory framework necessary to help the entire banking sector adapt to the change towards green banking. It is a valuable resource for financial sector professionals and scholars in the fields of sustainable finance and banking.

Whether man-made or naturally occurring, large-scale disasters can cause fatalities and injuries, devastate property and communities, savage the environment, impose significant financial burdens on individuals and firms, and test political leadership. Moreover, global challenges such as climate change and terrorism reveal the interdependent and interconnected nature of our current moment: what occurs in one nation or geographical region is likely to have effects across the globe. Our information age creates new and more integrated forms of communication that incur risks that are difficult to evaluate, let alone anticipate. All of this makes clear that innovative approaches to assessing and managing risk are urgently required. When catastrophic risk management was in its inception thirty years ago, scientists and engineers would provide estimates of the probability of specific types of accidents and their potential consequences. Economists would then propose risk management policies based on those experts' estimates with little thought as to how this data would be used by interested parties. Today, however, the disciplines of finance, geography, history, insurance, marketing, political science, sociology, and the decision sciences combine scientific knowledge on risk assessment with a better appreciation for the importance of improving individual and collective decision-making processes. The essays in this volume highlight past research, recent discoveries, and open questions written by leading thinkers in risk management and behavioral sciences. The Future of Risk Management provides scholars, businesses, civil servants, and the concerned public tools for making more informed decisions and developing long-term strategies for reducing future losses from potentially catastrophic events. Contributors: Mona Ahmadiani, Joshua D. Baker, W. J. Wouter Botzen, Cary Coglianese, Gregory Colson, Jeffrey Czajkowski, Nate Dieckmann, Robin Dillon, Baruch Fischhoff, Jeffrey A. Friedman, Robin Gregory, Robert W. Klein, Carolyn Kousky, Howard Kunreuther, Craig E. Landry, Barbara Mellers, Robert J. Meyer, Erwann Michel-Kerjan, Robert Muir-Wood, Mark Pauly, Lisa Robinson, Adam Rose, Paul J. H. Schoemaker, Paul Slovic, Phil Tetlock, Daniel Vastfjall, W. Kip Viscusi, Elke U. Weber, Richard Zeckhauser.

This book sets out in a clear and concise manner the central principles of insurance law in the Caribbean, guiding students through the complexities of the subject. This book features, among several other key themes, extensive coverage of: insurance regulation; life insurance; property insurance; contract formation; intermediaries; the claims procedure; and analysis of the substantive laws of several jurisdictions. Commonwealth Caribbean Insurance Law is essential reading for LLB students in Caribbean universities, students in CAPE Law courses, and practitioners.

Kidnap for ransom is a lucrative but tricky business. Millions of people live, travel, and work in areas with significant kidnap risks, yet kidnaps of foreign workers, local VIPs, and tourists are surprisingly rare and the vast majority of abductions are peacefully resolved - often for remarkably low ransoms. In fact, the market for hostages is so well ordered that the crime is insurable. This is a puzzle: ransoming a hostage is the world's most precarious trade. What would be the "right" price for your loved one - and can you avoid putting others at risk by paying it? What prevents criminals from maltreating hostages? How do you (safely) pay a ransom? And why would kidnappers release a potential future witness after receiving their money? Kidnap: Inside the Ransom Business uncovers how a group of insurers at Lloyd's of London have solved these thorny problems for their customers. Based on interviews with industry insiders (from both sides), as well as hostage stakeholders, it uncovers an intricate and powerful private governance system ordering transactions between the legal and the criminal economies.

Risk compensation postulates that everyone has a "risk thermostat" and that safety measures that do not affect the setting of the thermostat will be circumvented by behaviour that re-establishes the level of risk with which people were originally comfortable. It explains why, for example, motorists drive faster after a bend in the road is straightened. Cultural theory explains risk-taking behaviour by the operation of cultural filters. It postulates that behaviour is governed by the probable costs and benefits of alternative courses of action which are perceived through filters formed from all the previous incidents and associations in the risk-taker's life.; "Risk" should be of interest to many readers throughout the social sciences and in the world of industry, business, engineering, finance and public administration, since it deals with a fundamental part of human behaviour that has enormous financial and economic implications.

Diese Studie untersucht den komplexen Zusammenhang zwischen Naturkatastrophen, individuellem Verhalten - in Form von individueller Risikobereitschaft und Vertrauensniveau - und der Nachfrage nach Mikroversicherungen. Entwicklungslander sind besonders anfallig fur die Auswirkungen von Naturkatastrophen und Klimawandel, da diese ihre Entwicklungsprozesse beeintrachtigen und die Bemuhungen zur Armutsbekampfung zuruckwerfen. Unter Verwendung eines einzigartigen Datensatzes fur das landliche Kambodscha, der auf einer Umfrage, experimentellen Spielen und einem diskreten Auswahlexperiment basiert, unterstreicht die Studie die Bedeutung von Wahrnehmungen, Erwartungen und psychologischen Faktoren in Entscheidungsprozessen mit erheblichen Folgen fur langfristige wirtschaftliche Perspektiven und die Armutsbekampfung.

The challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. Risk Management and Simulation shows how simulation modeling and analysis can help you solve risk management problems related to market, credit, operational, business, and strategic risk. Simulation models and methodologies offer an effective way to address many of these problems and are easy for finance professionals to understand and use. Drawing on the author s extensive teaching experience, this accessible book walks you through the concepts, models, and computational techniques.

How Simulation Models Can Help You Manage Risk More Effectively

Organized into four parts, the book begins with the concepts and framework for risk management. It then introduces the modeling and computational techniques for solving risk management problems, from model development, verification, and validation to designing simulation experiments and conducting appropriate output analysis. The third part of the book delves into specific issues of risk management in a range of risk types. These include market risk, equity risk, interest rate risk, commodity risk, currency risk, credit risk, liquidity risk, and strategic, business, and operational risks. The author also examines insurance as a mechanism for risk management and risk transfer. The final part of the book explores advanced concepts and techniques. The book contains extensive review questions and detailed quantitative or computational exercises in all chapters. Use of MATLAB(r) mathematical software is encouraged and suggestions for MATLAB functions are provided throughout.

Learn Step by Step, from Basic Concepts to More Complex Models

Packed with applied examples and exercises, this book builds from elementary models for risk to more sophisticated, dynamic models for risks that evolve over time. A comprehensive introduction to simulation modeling and analysis for risk management, it gives you the tools to better assess and manage the impact of risk in your organizations. The book can also serve as a support reference for readers preparing for CFA exams, GARP FRM exams, PRMIA PRM exams, and actuarial exams.

This book will be a "must" for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working in finance and to masters students using big data tools. The authors present the bases of big data: data analysis methods, learning processes, application to insurance and position within the insurance market. Individual chapters a will be written by well-known authors in this field.

The 2008 financial collapse, the expansion of corporate and private wealth, the influence of money in politics-many of Wall Street's contemporary trends can be traced back to the work of fourteen critical figures who wrote, and occasionally broke, the rules of American finance. Edward Morris plots in absorbing detail Wall Street's transformation from a clubby enclave of financiers to a symbol of vast economic power. His book begins with J. Pierpont Morgan, who ruled the American banking system at the turn of the twentieth century, and ends with Sandy Weill, whose collapsing Citigroup required the largest taxpayer bailout in history. In between, Wall Streeters relates the triumphs and missteps of twelve other financial visionaries. From Charles Merrill, who founded Merrill Lynch and introduced the small investor to the American stock market; to Michael Milken, the so-called junk bond king; to Jack Bogle, whose index funds redefined the mutual fund business; to Myron Scholes, who laid the groundwork for derivative securities; and to Benjamin Graham, who wrote the book on securities analysis. Anyone interested in the modern institution of American finance will devour this history of some of its most important players.

Modern Actuarial Risk Theory contains what every actuary needs to know about non-life insurance mathematics. It starts with the standard material like utility theory, individual and collective model and basic ruin theory. Other topics are risk measures and premium principles, bonus-malus systems, ordering of risks and credibility theory. It also contains some chapters about Generalized Linear Models, applied to rating and IBNR problems. As to the level of the mathematics, the book would fit in a bachelors or masters program in quantitative economics or mathematical statistics. This second and much expanded edition emphasizes the implementation of these techniques through the use of R. This free but incredibly powerful software is rapidly developing into the de facto standard for statistical computation, not just in academic circles but also in practice. With R, one can do simulations, find maximum likelihood estimators, compute distributions by inverting transforms, and much more.