Risk Measures And Insurance Solvency Benchmarks

Author : Vsevolod K. Malinovskii
Publisher : CRC Press
Page : 340 pages
File Size : 46,6 Mb
Release : 2021-07-22
Category : Mathematics
ISBN : 9781000411072

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Risk Measures and Insurance Solvency Benchmarks by Vsevolod K. Malinovskii Pdf

Risk Measures and Insurance Solvency Benchmarks: Fixed-Probability Levels in Renewal Risk Models is written for academics and practitioners who are concerned about potential weaknesses of the Solvency II regulatory system. It is also intended for readers who are interested in pure and applied probability, have a taste for classical and asymptotic analysis, and are motivated to delve into rather intensive calculations. The formal prerequisite for this book is a good background in analysis. The desired prerequisite is some degree of probability training, but someone with knowledge of the classical real-variable theory, including asymptotic methods, will also find this book interesting. For those who find the proofs too complicated, it may be reassuring that most results in this book are formulated in rather elementary terms. This book can also be used as reading material for basic courses in risk measures, insurance mathematics, and applied probability. The material of this book was partly used by the author for his courses in several universities in Moscow, Copenhagen University, and in the University of Montreal. Features Requires only minimal mathematical prerequisites in analysis and probability Suitable for researchers and postgraduate students in related fields Could be used as a supplement to courses in risk measures, insurance mathematics and applied probability.

Author : Marcus Kriele,Jochen Wolf
Publisher : Springer Science & Business Media
Page : 378 pages
File Size : 51,8 Mb
Release : 2014-01-14
Category : Business & Economics
ISBN : 9781447163053

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Value-Oriented Risk Management of Insurance Companies by Marcus Kriele,Jochen Wolf Pdf

Value- and risk-oriented management is a holistic method of managing businesses. In this book both actuarial methods and methods pertaining to classical internal control and classical risk management are used. Therefore the approach taken is necessarily interdisciplinary. Indeed, there is a new dynamically developing field for actuaries as a result of the emphasis now on the measurement of risk. This book provides the required basic knowledge for this subject from an actuarial perspective. It enables the reader to implement in practice a risk management system that is based on quantitative methods. With this book, the reader will additionally be able to critically appraise the applicability and the limits of the methods used in modern risk management. Value-oriented Management of Risk in Insurance focuses on risk capital, capital allocation, performance measurement and value-oriented management. It also makes a connection to regulatory developments (for example, Solvency II). The reader should have a basic knowledge of probability and familiarity with mathematical concepts. It is intended for working actuaries and quantitative risk managers as well as actuarial students.

Author : Craig Thorburn
Publisher : World Bank Publications
Page : 45 pages
File Size : 49,8 Mb
Release : 2004
Category : Finance
ISBN : 8210379456XXX

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On the Measurement of Solvency of Insurance Companies by Craig Thorburn Pdf

Author : Luca Regis
Publisher : MDPI
Page : 165 pages
File Size : 55,9 Mb
Release : 2018-02-22
Category : Electronic
ISBN : 9783038427308

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Actuarial and Financial Risks in Life Insurance, Pensions Pensions and Household Finance by Luca Regis Pdf

This book is a printed edition of the Special Issue "Actuarial and Financial Risks in Life Insurance, Pensions and Household Finance" that was published in Risks

Author : Arne Sandström
Publisher : CRC Press
Page : 1084 pages
File Size : 40,6 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781439821329

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Handbook of Solvency for Actuaries and Risk Managers by Arne Sandström Pdf

Reflecting the author's wealth of experience in this field, Handbook of Solvency for Actuaries and Risk Managers: Theory and Practice focuses on the valuation of assets and liabilities, the calculation of capital requirement, and the calculation of the standard formula for the European Solvency II project.The first three sections of the book examin

Author : Alexander Melnikov
Publisher : CRC Press
Page : 267 pages
File Size : 55,8 Mb
Release : 2004-06-02
Category : Mathematics
ISBN : 9781135437459

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Risk Analysis in Finance and Insurance by Alexander Melnikov Pdf

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 and Insurance offers the first comprehensive and accessible introduction to the ideas, methods, and probabilistic models that have transformed risk management into a quantitative science and led to unified methods for analyzing insurance and finance risks. The author's approach is based on a methodology for estimating the present value of future payments given current financial, insurance, and other information, which leads to proper, practical definitions of the price of a financial contract, the premium for an insurance policy, and the reserve of an insurance company. Self-contained and full of exercises and worked examples, Risk Analysis in Finance and Insurance serves equally well as a text for courses in financial and actuarial mathematics and as a valuable reference for financial analysts and actuaries. Ancillary electronic materials will be available for download from the publisher's Web site.

Author : Vsevolod K. Malinovskii
Publisher : CRC Press
Page : 453 pages
File Size : 44,8 Mb
Release : 2021-07-25
Category : Mathematics
ISBN : 9781000392920

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Level-Crossing Problems and Inverse Gaussian Distributions by Vsevolod K. Malinovskii Pdf

Primarily aimed at researchers and postgraduates, but may be of interest to some professionals working in related fields, such as the insurance industry Suitable as supplementary reading for a standard course in applied probability Requires minimal prerequisites in mathematical analysis and probability theory

Author : Arne Sandstrom
Publisher : CRC Press
Page : 448 pages
File Size : 42,8 Mb
Release : 2005-09-19
Category : Mathematics
ISBN : 9781420034882

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Solvency by Arne Sandstrom Pdf

Until now there were no published analyses of the recent solvency work conducted in Europe, specifically the risk categories proposed by the International Actuarial Association (IAA). Answering the insurance industry's demand in the wake of the EU Solvency II project, Solvency: Models, Assessment and Regulation provides a concrete summary and review of solvency and inspires additional work in the field. Following an introduction to the concept, the first section of the book provides a historical review of solvency, detailing solvency regulation and accounting within the EU. A review of the steps leading to Solvency II looks at accounting, supervision, the actuarial field, the first phase of Solvency II, international approaches to banking, and the solvency systems of 12 major nations. The second section explores the current basis for solvency modeling, focusing on the valuation of assets and liabilities, dependency and various conservative approaches, as well as a baseline and benchmark approach. This section also provides examples of risk structure and the effects of diversification. The final section discusses groups and internal modeling as it relates to EU Solvency II. It addresses insurance groups, financial conglomerates, reinsurance, the importance of internal modeling and stress testing, and the current state of the second phase of EU Solvency II.

Author : Chris Kelliher
Publisher : CRC Press
Page : 698 pages
File Size : 46,6 Mb
Release : 2022-05-19
Category : Business & Economics
ISBN : 9781000582307

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Quantitative Finance with Python by Chris Kelliher Pdf

Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors. Features Useful as both a teaching resource and as a practical tool for professional investors. Ideal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial Engineering. Includes a perspective on the future of quant finance techniques, and in particular covers some introductory concepts of Machine Learning. Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.

Author : Yue Kuen Kwok,Wendong Zheng
Publisher : CRC Press
Page : 283 pages
File Size : 50,7 Mb
Release : 2022-05-08
Category : Business & Economics
ISBN : 9781000584257

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Pricing Models of Volatility Products and Exotic Variance Derivatives by Yue Kuen Kwok,Wendong Zheng Pdf

Pricing Models of Volatility Products and Exotic Variance Derivatives summarizes most of the recent research results in pricing models of derivatives on discrete realized variance and VIX. The book begins with the presentation of volatility trading and uses of variance derivatives. It then moves on to discuss the robust replication strategy of variance swaps using portfolio of options, which is one of the major milestones in pricing theory of variance derivatives. The replication procedure provides the theoretical foundation of the construction of VIX. This book provides sound arguments for formulating the pricing models of variance derivatives and establishes formal proofs of various technical results. Illustrative numerical examples are included to show accuracy and effectiveness of analytic and approximation methods. Features Useful for practitioners and quants in the financial industry who need to make choices between various pricing models of variance derivatives Fabulous resource for researchers interested in pricing and hedging issues of variance derivatives and VIX products Can be used as a university textbook in a topic course on pricing variance derivatives

Author : Mladen Victor Wickerhauser
Publisher : CRC Press
Page : 305 pages
File Size : 41,5 Mb
Release : 2022-11-09
Category : Mathematics
ISBN : 9781000778816

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Introducing Financial Mathematics by Mladen Victor Wickerhauser Pdf

Introducing Financial Mathematics: Theory, Binomial Models, and Applications seeks to replace existing books with a rigorous stand-alone text that covers fewer examples in greater detail with more proofs. The book uses the fundamental theorem of asset pricing as an introduction to linear algebra and convex analysis. It also provides example computer programs, mainly Octave/MATLAB functions but also spreadsheets and Macsyma scripts, with which students may experiment on real data.The text's unique coverage is in its contemporary combination of discrete and continuous models to compute implied volatility and fit models to market data. The goal is to bridge the large gaps among nonmathematical finance texts, purely theoretical economics texts, and specific software-focused engineering texts.

Author : Elisa Alos,David Garcia Lorite
Publisher : CRC Press
Page : 350 pages
File Size : 52,8 Mb
Release : 2021-07-14
Category : Mathematics
ISBN : 9781000403510

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Malliavin Calculus in Finance by Elisa Alos,David Garcia Lorite Pdf

Malliavin Calculus in Finance: Theory and Practice aims to introduce the study of stochastic volatility (SV) models via Malliavin Calculus. Malliavin calculus has had a profound impact on stochastic analysis. Originally motivated by the study of the existence of smooth densities of certain random variables, it has proved to be a useful tool in many other problems. In particular, it has found applications in quantitative finance, as in the computation of hedging strategies or the efficient estimation of the Greeks. The objective of this book is to offer a bridge between theory and practice. It shows that Malliavin calculus is an easy-to-apply tool that allows us to recover, unify, and generalize several previous results in the literature on stochastic volatility modeling related to the vanilla, the forward, and the VIX implied volatility surfaces. It can be applied to local, stochastic, and also to rough volatilities (driven by a fractional Brownian motion) leading to simple and explicit results. Features Intermediate-advanced level text on quantitative finance, oriented to practitioners with a basic background in stochastic analysis, which could also be useful for researchers and students in quantitative finance Includes examples on concrete models such as the Heston, the SABR and rough volatilities, as well as several numerical experiments and the corresponding Python scripts Covers applications on vanillas, forward start options, and options on the VIX. The book also has a Github repository with the Python library corresponding to the numerical examples in the text. The library has been implemented so that the users can re-use the numerical code for building their examples. The repository can be accessed here: https://bit.ly/2KNex2Y.

Author : Nicolas Privault
Publisher : CRC Press
Page : 663 pages
File Size : 40,5 Mb
Release : 2022-12-13
Category : Business & Economics
ISBN : 9781000778953

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Introduction to Stochastic Finance with Market Examples by Nicolas Privault Pdf

Introduction to Stochastic Finance with Market Examples, Second Edition presents an introduction to pricing and hedging in discrete and continuous-time financial models, emphasizing both analytical and probabilistic methods. It demonstrates both the power and limitations of mathematical models in finance, covering the basics of stochastic calculus for finance, and details the techniques required to model the time evolution of risky assets. The book discusses a wide range of classical topics including Black–Scholes pricing, American options, derivatives, term structure modeling, and change of numéraire. It also builds up to special topics, such as exotic options, stochastic volatility, and jump processes. New to this Edition New chapters on Barrier Options, Lookback Options, Asian Options, Optimal Stopping Theorem, and Stochastic Volatility Contains over 235 exercises and 16 problems with complete solutions available online from the instructor resources Added over 150 graphs and figures, for more than 250 in total, to optimize presentation 57 R coding examples now integrated into the book for implementation of the methods Substantially class-tested, so ideal for course use or self-study With abundant exercises, problems with complete solutions, graphs and figures, and R coding examples, the book is primarily aimed at advanced undergraduate and graduate students in applied mathematics, financial engineering, and economics. It could be used as a course text or for self-study and would also be a comprehensive and accessible reference for researchers and practitioners in the field.

Author : M. A. H. Dempster,Ke Tang
Publisher : CRC Press
Page : 864 pages
File Size : 51,5 Mb
Release : 2022-12-09
Category : Business & Economics
ISBN : 9781000784046

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Commodities by M. A. H. Dempster,Ke Tang Pdf

Since a major source of income for many countries comes from exporting commodities, price discovery and information transmission between commodity futures markets are key issues for continued economic development. Commodities: Fundamental Theory of Futures, Forwards, and Derivatives Pricing, Second Edition covers the fundamental theory of and derivatives pricing for major commodity markets, as well as the interaction between commodity prices, the real economy, and other financial markets. After a thoroughly updated and extensive theoretical and practical introduction, this new edition of the book is divided into five parts – the fifth of which is entirely new material covering cutting-edge developments. Oil Products considers the structural changes in the demand and supply for hedging services that are increasingly determining the price of oil Other Commodities examines markets related to agricultural commodities, including natural gas, wine, soybeans, corn, gold, silver, copper, and other metals Commodity Prices and Financial Markets investigates the contemporary aspects of the financialization of commodities, including stocks, bonds, futures, currency markets, index products, and exchange traded funds Electricity Markets supplies an overview of the current and future modelling of electricity markets Contemporary Topics discuss rough volatility, order book trading, cryptocurrencies, text mining for price dynamics and flash crashes

Author : Anatoliy Swishchuk
Publisher : CRC Press
Page : 289 pages
File Size : 46,5 Mb
Release : 2022-11-08
Category : Mathematics
ISBN : 9781000776812

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Stochastic Modelling of Big Data in Finance by Anatoliy Swishchuk Pdf

Stochastic Modelling of Big Data in Finance provides a rigorous overview and exploration of stochastic modelling of big data in finance (BDF). The book describes various stochastic models, including multivariate models, to deal with big data in finance. This includes data in high-frequency and algorithmic trading, specifically in limit order books (LOB), and shows how those models can be applied to different datasets to describe the dynamics of LOB, and to figure out which model is the best with respect to a specific data set. The results of the book may be used to also solve acquisition, liquidation and market making problems, and other optimization problems in finance. Features Self-contained book suitable for graduate students and post-doctoral fellows in financial mathematics and data science, as well as for practitioners working in the financial industry who deal with big data All results are presented visually to aid in understanding of concepts Dr. Anatoliy Swishchuk is a Professor in Mathematical Finance at the Department of Mathematics and Statistics, University of Calgary, Calgary, AB, Canada. He got his B.Sc. and M.Sc. degrees from Kyiv State University, Kyiv, Ukraine. He earned two doctorate degrees in Mathematics and Physics (PhD and DSc) from the prestigious National Academy of Sciences of Ukraine (NASU), Kiev, Ukraine, and is a recipient of NASU award for young scientist with a gold medal for series of research publications in random evolutions and their applications. Dr. Swishchuk is a chair and organizer of finance and energy finance seminar ‘Lunch at the Lab’ at the Department of Mathematics and Statistics. Dr. Swishchuk is a Director of Mathematical and Computational Finance Laboratory at the University of Calgary. He was a steering committee member of the Professional Risk Managers International Association (PRMIA), Canada (2006-2015), and is a steering committee member of Global Association of Risk Professionals (GARP), Canada (since 2015). Dr. Swishchuk is a creator of mathematical finance program at the Department of Mathematics & Statistics. He is also a proponent for a new specialization “Financial and Energy Markets Data Modelling” in the Data Science and Analytics program. His research areas include financial mathematics, random evolutions and their applications, biomathematics, stochastic calculus, and he serves on editorial boards for four research journals. He is the author of more than 200 publications, including 15 books and more than 150 articles in peer-reviewed journals. In 2018 he received a Peak Scholar award.