In the midst of globalization, technological change and economic anxiety, we have deep doubts about how well that task of investor protection is being performed. In the U.S., the focus is on the Securities & Exchange Commission. Part of the explanation is economic and political: the failure to know the right balance between investor protection and capital formation, and the resulting battle among interest groups over their preferred solutions. This book's main claim, however, is that regulation is also frustrated at nearly every turn by human nature, as exhibited both on the buy-side (investors) and sell-side (corporate executives, bankers, stockbrokers). There is plenty of savvy and guile, but also ample hope, fear, ego, overconfidence, social contagion and the like that persistently filter and distort the messages regulators try to send. This book is the first sustained effort to link the key initiatives of securities regulation with our burgeoning awareness in the social sciences of how people and organizations really behave in economic settings. It examines why corporate fraud occurs and how best to deter it and compensate its victims; the search for an edge via insider trading; the disclosure apparatus and its gatekeepers; sales efforts and manipulation in Ponzi schemes, internet scams, private offerings and crowdfunding; and how this all helps explain the recent global financial crisis. It ends by turning these insights back on the task of regulation itself, and the strategies (and frustrations) of making regulation work in a financial world that is at once increasingly sophisticated yet deeply human and incurably flawed.

Whether you are thinking about entering the contract cleaning business, have a young company that may be struggling to get to the next level, or have a mature organization that may need to look at things in a different light, this book is for you. From naming your company to selling your company, this book covers all the bases. Dick takes you through the mistakes he made when starting his company, to the stumbling he did along the way, and how he got up and kept going. Some of his real life stories will amuse while others will make you sit back and take note of how you can make a correction in your company that can save or earn lots of dollars for you. Dick includes ways to approach a banker, attorney, accountant, insurance agent as well as the supplier of your cleaning products and equipment. Doing these things right will put money on your bottom line, doing them wrong may put you out of business in a hurry. Not to be forgotton, he also includes a chapter on preparing your company for sale. Dick sold his company and can provide helpful suggestions on what you need to do and not do to be ready to sell. Dick interjects humor along the way to emphasize some of his mistakes and what he learned from them. You will particularly want to read chapter 18 where he talkes about his favorite sayings and how they affected him. In that same chapter he also talks about actual calls he took from employees calling in to report they would not be at work and how he handled the calls. Last but not least, he provides you his thoughts on how to focus on becoming a leader as well as what he envisons the characteristics of real success are. This book is designed as a working tool. It is written in conversational style and will provide you a true encloypedia for being in the contract cleaning business. Enjoy and learn.

Eliminate frustration and confusion about the value of Life Insurance policies. This approachable book reveals the costs and benefits of various types of life insurance policies, annuities and investment options.

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"(Wright and Smith) have written a remarkably lucid and elegantly organized history that keeps the major themes in view, even while discussing the minutiae of crafting and marketing various new insurance products or of managing the firm and its investment portfolio. As the authors themselves point out, the history of life insurance has not attracted much serious scholarship or inspired writing. Fortunately, Mutually Beneficial has both. It integrates the Guardian's career into a wider account of the American life-insurance business and American economic history more generally, and it manages to do so with a light touch."
--Geoffrey Clark, "Harvard Business History Review"

"(Mutually Beneficial is), without doubt, a major contribution to the economics and history of life insurance in the twentieth century. Wright and Smith have provided, for example, the most comprehensive account yet of product development, and the section on investment strategies is also important. In sum this will make a fine addition to the library of insurance historians, and to financial and business historians more generally."
--Robin Pearson, "Accounting, Business & Financial History"

"The matieral is well documented. The authors have produced a nonvanity company history that goes behind the scenes to describe the company's corporate culture and policies and provide a explanation of how ethical and business precepts have led to consistent profitability."
--"Enterprise & Society"

Mutually Beneficial tells the story of the evolution of The Guardian Life Insurance Company of America, one of the most important life and health insurers inthe history of the U.S. economy and life insurance industry. Relying on exclusive access to the company's archives, interviews with its current executive officers, the public record, and scholarly articles and monographs, Robert E. Wright and George David Smith provide a strategic analysis of Guardian, from its founding to its standing in the insurance world today.

Mutually Beneficial also describes the origin of Guardian's distinctive approach to business-its corporate culture and policy-and how these principles flow from the ethical and business precepts of its founders. By rigorously attending to its policyholders as a matter of practice as well as principle, Guardian has long been one of the most consistently profitable life insurance firms as measured by return on net wealth. This unique history will be of interest to anyone in the insurance business, as well as financial and economic professionals.

The emergence of artificial intelligence has created a vast amount of advancements within various professional sectors and has transformed the way organizations conduct themselves. The implementation of intelligent systems has assisted with developing traditional processes including decision making, risk management, and security. An area that requires significant attention and research is how these companies are becoming accustomed to computer intelligence and applying this technology to their everyday practices. Transdisciplinary Perspectives on Risk Management and Cyber Intelligence is a pivotal reference source that provides vital research on the application of intelligent systems within various professional sectors as well as the exploration of theories and empirical findings. While highlighting topics such as decision making, cognitive science, and knowledge management, this publication explores the management of risk and uncertainty using training exercises, as well as the development of managerial intelligence competency. This book is ideally designed for practitioners, educators, researchers, policymakers, managers, developers, analysts, politicians, and students seeking current research on modern approaches to the analysis and performance of cyber intelligence.

We seem to be living at a time when insurance is strained to the breaking point. From hurricanes and earthquakes to terrorist attacks and threats of nuclear devastation, enormous risks to life and property - and accompanying liabilities - proliferate on an unprecedented scale. Insurer insolvency is not yet common, but it is not unusual either. And at the root of such failures often lies the compound failure of uncollectable reinsurance. This book proposes that a significant part of the emerging insurance crisis results from inadequate regulation of reinsurance. In a detailed and cogent analysis of what an effective regulatory regime for reinsurance must entail, the author examines such factors as the following: direct supervision of reinsurers versus supervision of reinsurance policies; models from developed countries (US, UK, EU) and international organizations (Organization for Economic Cooperation and Development, International Association of Insurance Supervisors); the importance of taking legal and economic differences into account while applying models; the problem of local protectionism, especially in developing countries; the dismantling of trade barriers in the reinsurance industry; global harmonization of reinsurance regulation; the role of reinsurance intermediaries; finite risk reinsurance; and insurance-linked securities. The author's concluding chapter presents an essential legal infrastructure that allows for efficiency, security, and individual market characteristics. Professor Wang then applies this framework to the Taiwanese insurance market, demonstrating convincingly how his proposed regime can solve specific problems while respecting Taiwan's distinct market environment.

For undergraduate courses in risk managementand insurance. Principles and practices: Managing risk withconsumer considerations Redja's Principles of RiskManagement and Insurance provides an in-depth examination of majorrisk themes. Using rich and up-to-date content on the basic concepts of riskand insurance, and introductory and advanced topics in traditional andenterprise risk management, the text is relevant to a wide number ofdisciplines in the business realm. Fully updated and revised, the 14thEdition covers global topics ranging from natural disasters andterrorism, to domestic issues like the ever-evolving Affordable CareAct and healthcare reform. Principles sets itselfapart by placing primary emphasis on insurance consumers and blends basic riskmanagement and insurance principles with consumer considerations, allowingstudents to apply basic concepts to their own personal risk management andinsurance programs.

This book presents startling evidence that state monopolies can produce better outcomes than the free market. It provides an empirical comparison of the property insurance market in five European countries: Britain, Spain, France, Switzerland, and Germany. The market and cost structures of insurers in each country are described, and particular features of each market and the outcomes for customers examined. The regulatory frameworks vary widely from country to country and so do the market outcomes, both in terms of premium level and in terms of available insurance cover. In view of the increase in major floods and other forms of natural damage (such as subsidence) over the last decades, the non-availability of insurance cover in many competitive insurance systems is likely to become a major political issue. This book shows that state monopoly is an adequate policy response. Competitive insurance systems are shown to provide incomplete cover at a substantially higher cost. In mixed systems, where the private sector can obtain reinsurance from the state (such a system is being tried in France) the state tends to end up paying most of the costs (it reinsures most of the bad risks) while the private insurance companies keep most of the premium income. The book will be of interest to academic economists interested in privatization, regulation, the theory of the firm, and insurance; Policy-makers concerned with regulation and privatization; Insurance companies, regulators, and analysts.

Finance and insurance companies are facing a wide range of parametric statistical problems. Statistical experiments generated by a sample of independent and identically distributed random variables are frequent and well understood, especially those consisting of probability measures of an exponential type. However, the aforementioned applications also offer non-classical experiments implying observation samples of independent but not identically distributed random variables or even dependent random variables. Three examples of such experiments are treated in this book. First, the Generalized Linear Models are studied. They extend the standard regression model to non-Gaussian distributions. Statistical experiments with Markov chains are considered next. Finally, various statistical experiments generated by fractional Gaussian noise are also described. In this book, asymptotic properties of several sequences of estimators are detailed. The notion of asymptotical efficiency is discussed for the different statistical experiments considered in order to give the proper sense of estimation risk. Eighty examples and computations with R software are given throughout the text.

This informative volume synthesizes the literatures on health economics, risk management, and health services into a concise guide to the financial and social basics of health insurance with an eye to its wide-scale upgrade. Its scope takes in concepts of health capital, strengths and limitations of insurance models, the effectiveness of coverage and services, and the roles of healthcare providers and government agencies in the equation. Coverage surveys the current state of group and public policies, most notably the effects of the Affordable Care Act on insurers and consumers and the current interest in universal coverage and single-payer plans. Throughout, the author provides systemic reasons to explain why today's health insurance fails so many consumers, concluding with reality-based recommendations for making insurance more valuable to both today's market and consumer well-being. Included among the topics: *Defining health insurance and healthcare finance. *Consuming and investing in health. *The scope of health insurance and its constraints. *Matching health insurance supply and demand. *The role of government in health insurance. *Ongoing challenges and the future of health insurance. Bringing a needed degree of objectivity to often highly subjective material, What Is Health Insurance (Good) For? is a call to reform to be read by health insurance researchers (including risk management insurance and health services research), professionals, practitioners, and policymakers.

This book examines the challenges for the life insurance sector in Europe arising from new technologies, socio-cultural and demographic trends, and the financial crisis. It presents theoretical and applied research in all areas related to life insurance products and markets, and explores future determinants of the insurance industry's development by highlighting novel solutions in insurance supervision and trends in consumer protection. Drawing on their academic and practical expertise, the contributors identify problems relating to risk analysis and evaluation, demographic challenges, consumer protection, product distribution, mortality risk modeling, applications of life insurance in contemporary pension systems, financial stability and solvency of life insurers. They also examine the impact of population aging on life insurance markets and the role of digitalization. Lastly, based on an analysis of early experiences with the implementation of the Solvency II system, the book provides policy recommendations for the development of life insurance in Europe.

A complete guide to the theory and practice of volatility models in financial engineering

Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics. Providing an overview of the most recent advances, "Handbook of Volatility Models and Their Applications" explores key concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate, parametric and non-parametric, high-frequency and low-frequency.

Featuring contributions from international experts in the field, the book features numerous examples and applications from real-world projects and cutting-edge research, showing step by step how to use various methods accurately and efficiently when assessing volatility rates. Following a comprehensive introduction to the topic, readers are provided with three distinct sections that unify the statistical and practical aspects of volatility:

Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presents ARCH and stochastic volatility models, with a focus on recent research topics including mean, volatility, and skewness spillovers in equity markets

Other Models and Methods presents alternative approaches, such as multiplicative error models, nonparametric and semi-parametric models, and copula-based models of (co)volatilities

Realized Volatility explores issues of the measurement of volatility by realized variances and covariances, guiding readers on how to successfully model and forecast these measures

"Handbook of Volatility Models and Their Applications" is an essential reference for academics and practitioners in finance, business, and econometrics who work with volatility models in their everyday work. The book also serves as a supplement for courses on risk management and volatility at the upper-undergraduate and graduate levels.

In 1950, the Governor of Tennessee called for an investigation of the Tennessee Children's Home black market baby operations, said to have grossed $1 million for Georgia Tann, the superintendent of the local branch of the home. Tann was accused of fraudulently persuading pregnant mothers to relinquish their children. A number of Hollywood celebrities adopted children through the home, namely Joan Crawford, June Allyson, and Dick Powell. During the investigation, local attorneys and justices were found to be part of the scandalous network of adoption that allowed adoptive parents to be out-of-state residents. The story is dramatic and shows southern politics at its worst--congenial, respected public figures running shady deals in the back room. Thousands of children were placed in adopted homes during the agency's operation. Each case is a fascinating story involving the search and reunion of adopted children with their natural families.

This work illustrates research conducted over a ten-year timespan and addresses a fundamental issue in reliability theory. This still appears to be an empirically disorganized field and the book suggests employing a deductive base in order to evolve reliability as a science. The study is in line with the fundamental work by Gnedenko. Boris Vladimirovich Gnedenko (1912 - 1995) was a Soviet mathematician who made significant contributions in various scientific areas. His name is especially associated with studies of dependability, for which he is often recognized as the 'father' of reliability theory. In the last few decades, this area has expanded in new directions such as safety, security, risk analysis and other fields, yet the book 'Mathematical Methods in Reliability Theory' written by Gnedenko with Alexander Soloviev and Yuri Belyaev still towers as a pillar of the reliability sector's configuration and identity. The present book proceeds in the direction opened by the cultural project of the Russian authors; in particular it identifies different trends in the hazard rate functions by means of deductive logic and demonstrations. Further, it arrives at multiple results by means of the entropy function, an original mathematical tool in the reliability domain. As such, it will greatly benefit all specialists in the field who are interested in unconventional solutions.

The European system of insurance supervision under Solvency II constitutes a parallel to supervision of credit institutions under Basel III. At the heart of this new European insurance supervisory regime are the Solvency II Directive, the attendant regulation, and the EIOPA Regulation. The present volume, "Treatises on Solvency II", includes articles on the bases of European insurance supervision and the associated three pillars of solvency, governance, and disclosure, all viewed predominantly from a legal standpoint.

Risk and Return in Asian Emerging Markets offers readers a firm insight into the risk and return characteristics of leading Asian emerging market participants by comparing and contrasting behavioral model variables with predictive forecasting methods.