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Insurance planning modelsprice competition and regulation of financial stability /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Insurance planning modelsVsevolod K. Malinovskii.
其他題名:	price competition and regulation of financial stability /
作者:	Malinovskii, Vsevolod K.
出版者:	Singapore :World Scientific,c2022.
面頁冊數:	1 online resource (356 p.)
標題:	InsuranceFinance
電子資源:	https://www.worldscientific.com/worldscibooks/10.1142/11396#t=toc
ISBN:	9789811204661$q(ebook)

Insurance planning modelsprice competition and regulation of financial stability /
Malinovskii, Vsevolod K.

Insurance planning modelsprice competition and regulation of financial stability /[electronic resource] :Vsevolod K. Malinovskii. - Singapore :World Scientific,c2022. - 1 online resource (356 p.) - Advances in statistics, probability and actuarial science ;vol. 2. - Advances in statistics, probability and actuarial science ;v. 1..

Introduction: regulated competitive insurance market -- Competitive insurance market and complex reflexive systems -- Integral model of multi-year insurance process -- Annual probability mechanisms of insurance -- Expansion, revenue, and solvency: a company's financial position -- Profit-seeking insurers on profitable market with low competition -- Profit-seeking insurers on profitable market with high competition -- Pricing when market is at near-equilibrium -- How an aggressively expanding company becomes insolvent -- Active defense by an incumbent insurer against aggressive newcomers -- Simulation and numerical results.

"Insurance Planning Models: Price Competition and Regulation of Financial Stability is an exciting new book that takes readers inside the secrets of internal organization of the modern general insurance business. Many people know that it is subject to intensive state regulation, whereby the purpose is to maintain long-term efficiency, honesty, security and stability in the interest and for the protection of policyholders. However, except for knowing that the insurance system is regulated by intensive calculations, that the insurance companies have different positions on the market, that they pursue different goals and even compete with each other, and that one of the tools of this competition is the policy price, not so many people know how to achieve these deserving goals. In developing quantitative recommendations and directives to competing insurers, regulators rely on certain models. In the 1900s, such models were proposed. They were useful for an insight into the probabilistic nature of the insurance process, but not for direct application to practically meaningful problems of insurance regulation. This book is your guide to the rigorously constructed long-term dynamic models with the aim to improve regulatory methods and develop quantitative recommendations using both analytical calculations and computer simulation. It is addressed to a wide range of readers, including interested policyholders, economists whose interest lies in insurance management and regulation, and mathematicians wishing to expand the scope of application for their knowledge. This book is devoted to certain issues that are either not sufficiently presented, or even absent in the literature. It is an attempt to penetrate from the standpoint of mathematical modeling into the goals which face insurance regulators and contending company managers for preventing insolvencies, or even crises pertinent to badly regulated complex reflexive systems. It offers rigorous probabilistic models of long-term insurance business based on the laws of mass phenomena. They mitigate deficiencies of oversimplified risk models. The book presents advances in probabilistic techniques designed to seek quantitative, rather than qualitative, directives and recommendations regarding safe control aiming to achieve different business goals."--

Mode of access: World Wide Web.

ISBN: 9789811204661$q(ebook)Subjects--Topical Terms:

931202
Insurance
--Finance

LC Class. No.: HG8076 / .M251 2022

Dewey Class. No.: 658.159

Insurance planning modelsprice competition and regulation of financial stability /
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260 $a Singapore : $b World Scientific, $c c2022.
300 $a 1 online resource (356 p.)
490 1 $a Advances in statistics, probability and actuarial science ; $v vol. 2
505 0 $a Introduction: regulated competitive insurance market -- Competitive insurance market and complex reflexive systems -- Integral model of multi-year insurance process -- Annual probability mechanisms of insurance -- Expansion, revenue, and solvency: a company's financial position -- Profit-seeking insurers on profitable market with low competition -- Profit-seeking insurers on profitable market with high competition -- Pricing when market is at near-equilibrium -- How an aggressively expanding company becomes insolvent -- Active defense by an incumbent insurer against aggressive newcomers -- Simulation and numerical results.
520 $a "Insurance Planning Models: Price Competition and Regulation of Financial Stability is an exciting new book that takes readers inside the secrets of internal organization of the modern general insurance business. Many people know that it is subject to intensive state regulation, whereby the purpose is to maintain long-term efficiency, honesty, security and stability in the interest and for the protection of policyholders. However, except for knowing that the insurance system is regulated by intensive calculations, that the insurance companies have different positions on the market, that they pursue different goals and even compete with each other, and that one of the tools of this competition is the policy price, not so many people know how to achieve these deserving goals. In developing quantitative recommendations and directives to competing insurers, regulators rely on certain models. In the 1900s, such models were proposed. They were useful for an insight into the probabilistic nature of the insurance process, but not for direct application to practically meaningful problems of insurance regulation. This book is your guide to the rigorously constructed long-term dynamic models with the aim to improve regulatory methods and develop quantitative recommendations using both analytical calculations and computer simulation. It is addressed to a wide range of readers, including interested policyholders, economists whose interest lies in insurance management and regulation, and mathematicians wishing to expand the scope of application for their knowledge. This book is devoted to certain issues that are either not sufficiently presented, or even absent in the literature. It is an attempt to penetrate from the standpoint of mathematical modeling into the goals which face insurance regulators and contending company managers for preventing insolvencies, or even crises pertinent to badly regulated complex reflexive systems. It offers rigorous probabilistic models of long-term insurance business based on the laws of mass phenomena. They mitigate deficiencies of oversimplified risk models. The book presents advances in probabilistic techniques designed to seek quantitative, rather than qualitative, directives and recommendations regarding safe control aiming to achieve different business goals."-- $c Publisher's website.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat Reader.
588 $a Description based on print version record.
650 0 $a Insurance $x Finance $x Mathematical models. $3 931202
650 0 $a Insurance companies $x Management $x Mathematical models. $3 931203
830 0 $a Advances in statistics, probability and actuarial science ; $v v. 1. $3 648235
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/11396#t=toc