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Author : Matthew J. Hassett
Publisher : ACTEX Publications
Page : 448 pages
File Size : 12,99 MB
Release : 2006
Category : Business & Economics
ISBN : 156698548X
Author : Igor Rychlik
Publisher : Springer Science & Business Media
Page : 287 pages
File Size : 33,82 MB
Release : 2006-10-07
Category : Mathematics
ISBN : 3540395210
This text presents notions and ideas at the foundations of a statistical treatment of risks. The focus is on statistical applications within the field of engineering risk and safety analysis. Coverage includes Bayesian methods. Such knowledge facilitates the understanding of the influence of random phenomena and gives a deeper understanding of the role of probability in risk analysis. The text is written for students who have studied elementary undergraduate courses in engineering mathematics, perhaps including a minor course in statistics. This book differs from typical textbooks in its verbal approach to many explanations and examples.
Author : Søren Asmussen
Publisher : Springer Nature
Page : 505 pages
File Size : 30,13 MB
Release : 2020-04-17
Category : Mathematics
ISBN : 3030351769
This textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk management, financial mathematics and probability. Both non-life and life aspects are covered. The emphasis is on probability and modeling rather than statistics and practical implementation. Aimed at the graduate level, pointing in part to current research topics, it can potentially replace other textbooks on basic non-life insurance mathematics and advanced risk management methods in non-life insurance. Based on chapters selected according to the particular topics in mind, the book may serve as a source for introductory courses to insurance mathematics for non-specialists, advanced courses for actuarial students, or courses on probabilistic aspects of risk. It will also be useful for practitioners and students/researchers in related areas such as finance and statistics who wish to get an overview of the general area of mathematical modeling and analysis in insurance.
Author : Daniel Covington
Publisher :
Page : 192 pages
File Size : 33,40 MB
Release : 2020-03-17
Category :
ISBN :
Are you someone who struggles or use to struggle with Mathematics at school? Causing you to be totally averse to the subject? If you are, do you realize that certain aspects of Mathematics can be very useful for you to know in the real world? Whether you are retail employee or a budding entrepreneur, or really just someone looking to contribute to your place of work, you will surely encounter problems that require planning and analysis to address them. What you may not know is that, most of the time statistics, specifically probability and its concepts, will often give you an edge in identifying solutions and strategies to help you move forward with a great plan. And you're in luck because in this book you will get to know what probability is and more importantly, how it can help you solve the problems you encounter in your business work and day-to-day life. Specifically this book will help you: How to summarize data Measure variability Learn the core concepts of probability Gain knowledge of probability distributions and their functions Realize the importance of probability rules in business Become adept at using probabilities in life and at work Identify the types of risk your business can face How to effectively manage risk using probability Understand how to use probability and statistics in business Give your business an edge by learning more about probability and how it can help you. DO NOT DELAY! Grab a copy of this book today!
Author : Donald Stewart
Publisher :
Page : 91 pages
File Size : 50,41 MB
Release : 1999
Category : Risk management
ISBN : 9781566983686
Author : Daniel Covington
Publisher :
Page : 0 pages
File Size : 17,65 MB
Release : 2020-09-19
Category :
ISBN : 9781716570568
Are you someone who struggles or used to struggle with Mathematics at school? Causing you to be totally averse to the subject? If you are, do you realize that certain aspects of Mathematics can be very useful for you to know in the real world? Whether you are retail employee or a budding entrepreneur, or really just someone looking to contribute to your place of work, you will surely encounter problems that require planning and analysis to address them. What you may not know is that, most of the time statistics, specifically probability and its concepts, will often give you an edge in identifying solutions and strategies to help you move forward with a great plan. And you're in luck because in this book you will get to know what probability is and more importantly, how it can help you solve the problems you encounter in your business work and day-to-day life. Give your business an edge by learning more about probability and how it can help you.
Author : Svetlozar T. Rachev
Publisher : John Wiley & Sons
Page : 264 pages
File Size : 47,18 MB
Release : 2011-03-10
Category : Business & Economics
ISBN : 1444392700
A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time. Helps to answer the question: which risk measure is best for a given problem? Finds new relations between existing classes of risk measures Describes applications in finance and extends them where possible Presents the theory of probability metrics in a more accessible form which would be appropriate for non-specialists in the field Applications include optimal portfolio choice, risk theory, and numerical methods in finance Topics requiring more mathematical rigor and detail are included in technical appendices to chapters
Author : Sergio M. Focardi
Publisher : John Wiley & Sons
Page : 325 pages
File Size : 43,69 MB
Release : 2013-09-23
Category : Business & Economics
ISBN : 1118312635
The mathematical and statistical tools needed in the rapidly growing quantitative finance field With the rapid growth in quantitative finance, practitioners must achieve a high level of proficiency in math and statistics. Mathematical Methods and Statistical Tools for Finance, part of the Frank J. Fabozzi Series, has been created with this in mind. Designed to provide the tools needed to apply finance theory to real world financial markets, this book offers a wealth of insights and guidance in practical applications. It contains applications that are broader in scope from what is covered in a typical book on mathematical techniques. Most books focus almost exclusively on derivatives pricing, the applications in this book cover not only derivatives and asset pricing but also risk management—including credit risk management—and portfolio management. Includes an overview of the essential math and statistical skills required to succeed in quantitative finance Offers the basic mathematical concepts that apply to the field of quantitative finance, from sets and distances to functions and variables The book also includes information on calculus, matrix algebra, differential equations, stochastic integrals, and much more Written by Sergio Focardi, one of the world's leading authors in high-level finance Drawing on the author's perspectives as a practitioner and academic, each chapter of this book offers a solid foundation in the mathematical tools and techniques need to succeed in today's dynamic world of finance.
Author : Constantinos Artikis
Publisher : Springer
Page : 329 pages
File Size : 39,77 MB
Release : 2015-02-02
Category : Technology & Engineering
ISBN : 3319142569
This book is about the formulations, theoretical investigations, and practical applications of new stochastic models for fundamental concepts and operations of the discipline of risk management. It also examines how these models can be useful in the descriptions, measurements, evaluations, and treatments of risks threatening various modern organizations. Moreover, the book makes clear that such stochastic models constitute very strong analytical tools which substantially facilitate strategic thinking and strategic decision making in many significant areas of risk management. In particular the incorporation of fundamental probabilistic concepts such as the sum, minimum, and maximum of a random number of continuous, positive, independent, and identically distributed random variables in the mathematical structure of stochastic models significantly supports the suitability of these models in the developments, investigations, selections, and implementations of proactive and reactive risk management operations. The book makes extensive use of integral and differential equations of characteristic functions, mainly corresponding to important classes of mixtures of probability distributions, as powerful analytical tools for investigating the behavior of new stochastic models suitable for the descriptions and implementations of fundamental risk control and risk financing operations. These risk treatment operations very often arise in a wide variety of scientific disciplines of extreme practical importance.
Author : Tim Bedford
Publisher : Cambridge University Press
Page : 228 pages
File Size : 32,93 MB
Release : 2001-04-30
Category : Mathematics
ISBN : 9780521773201
A graduate level textbook on probabilistic risk analysis, aimed at statisticians, operations researchers and engineers.