Systemic Contingent Claims Analysis

Systemic Contingent Claims Analysis

Author: Mr.Andreas A. Jobst

Publisher: International Monetary Fund

Published: 2013-02-27

Total Pages: 93

ISBN-13: 1475557531

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The recent global financial crisis has forced a re-examination of risk transmission in the financial sector and how it affects financial stability. Current macroprudential policy and surveillance (MPS) efforts are aimed establishing a regulatory framework that helps mitigate the risk from systemic linkages with a view towards enhancing the resilience of the financial sector. This paper presents a forward-looking framework ("Systemic CCA") to measure systemic solvency risk based on market-implied expected losses of financial institutions with practical applications for the financial sector risk management and the system-wide capital assessment in top-down stress testing. The suggested approach uses advanced contingent claims analysis (CCA) to generate aggregate estimates of the joint default risk of multiple institutions as a conditional tail expectation using multivariate extreme value theory (EVT). In addition, the framework also helps quantify the individual contributions to systemic risk and contingent liabilities of the financial sector during times of stress.


Loss Models

Loss Models

Author: Stuart A. Klugman

Publisher: John Wiley & Sons

Published: 2012-01-25

Total Pages: 758

ISBN-13: 0470391332

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An update of one of the most trusted books on constructing and analyzing actuarial models Written by three renowned authorities in the actuarial field, Loss Models, Third Edition upholds the reputation for excellence that has made this book required reading for the Society of Actuaries (SOA) and Casualty Actuarial Society (CAS) qualification examinations. This update serves as a complete presentation of statistical methods for measuring risk and building models to measure loss in real-world events. This book maintains an approach to modeling and forecasting that utilizes tools related to risk theory, loss distributions, and survival models. Random variables, basic distributional quantities, the recursive method, and techniques for classifying and creating distributions are also discussed. Both parametric and non-parametric estimation methods are thoroughly covered along with advice for choosing an appropriate model. Features of the Third Edition include: Extended discussion of risk management and risk measures, including Tail-Value-at-Risk (TVaR) New sections on extreme value distributions and their estimation Inclusion of homogeneous, nonhomogeneous, and mixed Poisson processes Expanded coverage of copula models and their estimation Additional treatment of methods for constructing confidence regions when there is more than one parameter The book continues to distinguish itself by providing over 400 exercises that have appeared on previous SOA and CAS examinations. Intriguing examples from the fields of insurance and business are discussed throughout, and all data sets are available on the book's FTP site, along with programs that assist with conducting loss model analysis. Loss Models, Third Edition is an essential resource for students and aspiring actuaries who are preparing to take the SOA and CAS preliminary examinations. It is also a must-have reference for professional actuaries, graduate students in the actuarial field, and anyone who works with loss and risk models in their everyday work. To explore our additional offerings in actuarial exam preparation visit www.wiley.com/go/actuarialexamprep.


The Systematic Experiment

The Systematic Experiment

Author: J. C. Gibbings

Publisher: CUP Archive

Published: 1986-09-18

Total Pages: 374

ISBN-13: 9780521312172

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This book explains how to plan, execute, analyse and write up an experiment. Experimentation is an essential part of science and engineering, being both the basis of discovery in science and an integral part of engineering development. The authors' aim is to provide instruction in how to perform a systematic experiment from its conception and design through to the communication of results. The text opens by laying the ground rules for the planning of an experiment, moving on to a description of measurement techniques and statistical analysis of results. An important feature of the book is the inclusion of a chapter on the interfacing of experimental equipment to microcomputers.


Financial Modelling with Jump Processes

Financial Modelling with Jump Processes

Author: Peter Tankov

Publisher: CRC Press

Published: 2003-12-30

Total Pages: 552

ISBN-13: 1135437947

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WINNER of a Riskbook.com Best of 2004 Book Award! During the last decade, financial models based on jump processes have acquired increasing popularity in risk management and option pricing. Much has been published on the subject, but the technical nature of most papers makes them difficult for nonspecialists to understand, and the mathematic


Continuous-Time Finance

Continuous-Time Finance

Author: Robert C. Merton

Publisher: Wiley-Blackwell

Published: 1992-11-03

Total Pages: 754

ISBN-13: 9780631185086

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Robert C. Merton's widely-used text provides an overview and synthesis of finance theory from the perspective of continuous-time analysis. It covers individual finance choice, corporate finance, financial intermediation, capital markets, and selected topics on the interface between private and public finance.


Advances in Mathematical Finance

Advances in Mathematical Finance

Author: Michael C. Fu

Publisher: Springer Science & Business Media

Published: 2007-06-22

Total Pages: 345

ISBN-13: 0817645454

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This self-contained volume brings together a collection of chapters by some of the most distinguished researchers and practitioners in the field of mathematical finance and financial engineering. Presenting state-of-the-art developments in theory and practice, the book has real-world applications to fixed income models, credit risk models, CDO pricing, tax rebates, tax arbitrage, and tax equilibrium. It is a valuable resource for graduate students, researchers, and practitioners in mathematical finance and financial engineering.


Monte Carlo Simulation and Finance

Monte Carlo Simulation and Finance

Author: Don L. McLeish

Publisher: John Wiley & Sons

Published: 2011-09-13

Total Pages: 308

ISBN-13: 1118160940

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Monte Carlo methods have been used for decades in physics, engineering, statistics, and other fields. Monte Carlo Simulation and Finance explains the nuts and bolts of this essential technique used to value derivatives and other securities. Author and educator Don McLeish examines this fundamental process, and discusses important issues, including specialized problems in finance that Monte Carlo and Quasi-Monte Carlo methods can help solve and the different ways Monte Carlo methods can be improved upon. This state-of-the-art book on Monte Carlo simulation methods is ideal for finance professionals and students. Order your copy today.


Statistics of Financial Markets

Statistics of Financial Markets

Author: Jürgen Franke

Publisher: Springer Science & Business Media

Published: 2004

Total Pages: 454

ISBN-13: 9783540216759

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Extreme Value Theory (EVT), GARCH MODELS, Hypothesis Testing, Fitting Probability Distributions to Risk Factors and Portfolios.


Louis Bachelier's Theory of Speculation

Louis Bachelier's Theory of Speculation

Author: Louis Bachelier

Publisher: Princeton University Press

Published: 2011-12-12

Total Pages: 205

ISBN-13: 1400829305

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March 29, 1900, is considered by many to be the day mathematical finance was born. On that day a French doctoral student, Louis Bachelier, successfully defended his thesis Théorie de la Spéculation at the Sorbonne. The jury, while noting that the topic was "far away from those usually considered by our candidates," appreciated its high degree of originality. This book provides a new translation, with commentary and background, of Bachelier's seminal work. Bachelier's thesis is a remarkable document on two counts. In mathematical terms Bachelier's achievement was to introduce many of the concepts of what is now known as stochastic analysis. His purpose, however, was to give a theory for the valuation of financial options. He came up with a formula that is both correct on its own terms and surprisingly close to the Nobel Prize-winning solution to the option pricing problem by Fischer Black, Myron Scholes, and Robert Merton in 1973, the first decisive advance since 1900. Aside from providing an accurate and accessible translation, this book traces the twin-track intellectual history of stochastic analysis and financial economics, starting with Bachelier in 1900 and ending in the 1980s when the theory of option pricing was substantially complete. The story is a curious one. The economic side of Bachelier's work was ignored until its rediscovery by financial economists more than fifty years later. The results were spectacular: within twenty-five years the whole theory was worked out, and a multibillion-dollar global industry of option trading had emerged.


Conjugate Duality and Optimization

Conjugate Duality and Optimization

Author: R. Tyrrell Rockafellar

Publisher: SIAM

Published: 1974-01-01

Total Pages: 80

ISBN-13: 9781611970524

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Provides a relatively brief introduction to conjugate duality in both finite- and infinite-dimensional problems. An emphasis is placed on the fundamental importance of the concepts of Lagrangian function, saddle-point, and saddle-value. General examples are drawn from nonlinear programming, approximation, stochastic programming, the calculus of variations, and optimal control.