Risk Analysis In Finance And Insurance

Download or read book Risk Analysis in Finance and Insurance written by Alexander Melnikov and published by CRC Press. This book was released on 2003-09-25 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Historically, financial and insurance risks were separate subjects most often analyzed using qualitative methods. The development of quantitative methods based on stochastic analysis is an important achievement of modern financial mathematics, one that can naturally be extended and applied in actuarial mathematics. Risk Analysis in Finance

Download or read book Data Science and Risk Analytics in Finance and Insurance written by Tze Leung Lai and published by CRC Press. This book was released on 2024-10-02 with total page 1098 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk premium and insolvency in insurance contracts. Part II provides an overview of machine learning (including supervised, unsupervised, and reinforcement learning), Monte Carlo simulation, and sequential analysis techniques for risk analytics. In Part III, the book offers a non-technical introduction to four key areas in financial technology: artificial intelligence, blockchain, cloud computing, and big data analytics. Key Features: Provides a comprehensive and in-depth overview of data science methods for financial and insurance risks. Unravels bandits, Markov decision processes, reinforcement learning, and their interconnections. Promotes sequential surveillance and predictive analytics for abrupt changes in risk factors. Introduces the ABCDs of FinTech: Artificial intelligence, blockchain, cloud computing, and big data analytics. Includes supplements and exercises to facilitate deeper comprehension.

Download or read book Insurance Company Financial & Risk Analysis written by Andrew Lacey and published by Createspace Independent Publishing Platform. This book was released on 2016-08-06 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides professional-level information on how to analyze the financial and business well-being of all types of insurance company, including Lloyd's of London syndicates. The proposed risk-based assessment framework will enable better Credit, Investment, Policy and other decisions, subject to the risk-averse stance of decision-makers.

Download or read book Structured Finance and Insurance written by Christopher L. Culp and published by John Wiley & Sons. This book was released on 2011-09-13 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Structured Finance & Insurance "More and more each year, the modern corporation must decide what risks to keep and what risks to shed to remain competitive and to maximize its value for the capital employed. Culp explains the theory and practice of risk transfer through either balance sheet mechanism such as structured finance, derivative transactions, or insurance. Equity is expensive and risk transfer is expensive. As understanding grows, and, as a result, costs continue to fall, ART will continue to replace equity as the means to cushion knowable risks. This book enhances our understanding of ART." --Myron S. Scholes, Frank E. Buck Professor of Finance, Emeritus, Graduate School of Business, Stanford University "A must-read for everyone offering structured finance as a business, and arguably even more valuable to any one expected to pay for such service." --Norbert Johanning, Managing Director, DaimlerChrysler Financial Services "Culp's latest book provides a comprehensive account of the most important financing and risk management innovations in both insurance and capital markets. And it does so by fitting these innovative solutions and products into a single, unified theory of financial markets that integrates the once largely separate disciplines of insurance and risk management with the current theory and practice of corporate finance." --Don Chew, Editor, Journal of Applied Corporate Finance (a Morgan Stanley publication) "This exciting book is a comprehensive read on alternative insurance solutions available to corporations. It focuses on the real benefits, economical and practical, of alternatives such as captives, rent-a-captive, and mutuals. An excellent introduction to the very complex field of alternative risk transfer (ART)." --Paul Wohrmann, PhD, Head of the Center of Excellence ART and member of theExecutive Management of Global Corporate in Europe, Zurich Financial Services "Structured Finance and Insurance transcends Silos to reach the Enterprise Mountaintop. Culp superbly details integrated, captive, multiple triggers and capital market products, and provides the architectural blueprints for enterprise risk innovation." --Paul Wagner, Director, Risk Management, AGL Resources Inc.

Download or read book Risk Analysis in Finance and Insurance written by Alexander Melnikov and published by CRC Press. This book was released on 2011-04-25 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk Analysis in Finance and Insurance, Second Edition presents an accessible yet comprehensive introduction to the main concepts and methods that transform risk management into a quantitative science. Taking into account the interdisciplinary nature of risk analysis, the author discusses many important ideas from mathematics, finance, and actuaria

Download or read book Investment Guarantees written by Mary Hardy and published by John Wiley & Sons. This book was released on 2003-03-06 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to investment guarantees in equity-linked life insurance Due to the convergence of financial and insurance markets, new forms of investment guarantees are emerging which require financial service professionals to become savvier in modeling and risk management. With chapters that discuss stock return models, dynamic hedging, risk measures, Markov Chain Monte Carlo estimation, and much more, this one-stop reference contains the valuable insights and proven techniques that will allow readers to better understand the theory and practice of investment guarantees and equity-linked insurance policies. Mary Hardy, PhD (Waterloo, Ontario, Canada), is an Associate Professor and Associate Chair of Actuarial Science at the University of Waterloo and is a Fellow of the Institute of Actuaries and an Associate of the Society of Actuaries, where she is a frequent speaker. Her research covers topics in life insurance solvency and risk management, with particular emphasis on equity-linked insurance. Hardy is an Associate Editor of the North American Actuarial Journal and the ASTIN Bulletin and is a Deputy Editor of the British Actuarial Journal.

Download or read book Mathematical Risk Analysis written by Ludger Rüschendorf and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author's particular interest in the area of risk measures is to combine this theory with the analysis of dependence properties. The present volume gives an introduction of basic concepts and methods in mathematical risk analysis, in particular of those parts of risk theory that are of special relevance to finance and insurance. Describing the influence of dependence in multivariate stochastic models on risk vectors is the main focus of the text that presents main ideas and methods as well as their relevance to practical applications. The first part introduces basic probabilistic tools and methods of distributional analysis, and describes their use to the modeling of dependence and to the derivation of risk bounds in these models. In the second, part risk measures with a particular focus on those in the financial and insurance context are presented. The final parts are then devoted to applications relevant to optimal risk allocation, optimal portfolio problems as well as to the optimization of insurance contracts. Good knowledge of basic probability and statistics as well as of basic general mathematics is a prerequisite for comfortably reading and working with the present volume, which is intended for graduate students, practitioners and researchers and can serve as a reference resource for the main concepts and techniques.