Author: Alexander Lipton Publisher: OUP Oxford ISBN: 0191648248 Category : Business & Economics Languages : en Pages : 704
Book Description
From the late 1990s, the spectacular growth of a secondary market for credit through derivatives has been matched by the emergence of mathematical modelling analysing the credit risk embedded in these contracts. This book aims to provide a broad and deep overview of this modelling, covering statistical analysis and techniques, modelling of default of both single and multiple entities, counterparty risk, Gaussian and non-Gaussian modelling, and securitisation. Both reduced-form and firm-value models for the default of single entities are considered in detail, with extensive discussion of both their theoretical underpinnings and practical usage in pricing and risk. For multiple entity modelling, the now notorious Gaussian copula is discussed with analysis of its shortcomings, as well as a wide range of alternative approaches including multivariate extensions to both firm-value and reduced form models, and continuous-time Markov chains. One important case of multiple entities modelling - counterparty risk in credit derivatives - is further explored in two dedicated chapters. Alternative non-Gaussian approaches to modelling are also discussed, including extreme-value theory and saddle-point approximations to deal with tail risk. Finally, the recent growth in securitisation is covered, including house price modelling and pricing models for asset-backed CDOs. The current credit crisis has brought modelling of the previously arcane credit markets into the public arena. Lipton and Rennie with their excellent team of contributors, provide a timely discussion of the mathematical modelling that underpins both credit derivatives and securitisation. Though technical in nature, the pros and cons of various approaches attempt to provide a balanced view of the role that mathematical modelling plays in the modern credit markets. This book will appeal to students and researchers in statistics, economics, and finance, as well as practitioners, credit traders, and quantitative analysts
Author: Youssef Elouerkhaoui Publisher: Springer ISBN: 3319609734 Category : Business & Economics Languages : en Pages : 466
Book Description
This book provides an advanced guide to correlation modelling for credit portfolios, providing both theoretical underpinnings and practical implementation guidance. The book picks up where pre-crisis credit books left off, offering guidance for quants on the latest tools and techniques for credit portfolio modelling in the presence of CVA (Credit Value Adjustments). Written at an advanced level, it assumes that readers are familiar with the fundamentals of credit modelling covered, for example, in the market leading books by Schonbucher (2003) and O’Kane (2008). Coverage will include the latest default correlation approaches; correlation modelling in the ‘Marshall-Olkin’ contagion framework, in the context of CVA; numerical implementation; and pricing, calibration and risk challenges. The explosive growth of credit derivatives markets in the early-to-mid 000’s was bought to a close by the 2007 financial crisis, where these instruments were held largely to blame for the economic downturn. However, in the wake of increased regulation across all financial instruments and the challenge of buying and selling bonds in large amounts, credit derivatives have once again been found to be the answer and the market has grown significantly. Written by a practitioner for practitioners, this book will also interest researchers in mathematical finance who want to understand how things happen and work ‘on the floor’. Building the reader’s knowledge from the ground up, and with numerous real life examples used throughout, this book will prove a popular reference for anyone with a mathematical mind interested credit markets.
Author: Leszek Plaskota Publisher: Springer Science & Business Media ISBN: 3642274404 Category : Mathematics Languages : en Pages : 721
Book Description
This book represents the refereed proceedings of the Ninth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Warsaw (Poland) in August 2010. These biennial conferences are major events for Monte Carlo and the premiere event for quasi-Monte Carlo research. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. The reader will be provided with information on latest developments in these very active areas. The book is an excellent reference for theoreticians and practitioners interested in solving high-dimensional computational problems arising, in particular, in finance and statistics.
Author: Jean-Pierre Fouque Publisher: Cambridge University Press ISBN: 113950245X Category : Mathematics Languages : en Pages : 456
Book Description
Building upon the ideas introduced in their previous book, Derivatives in Financial Markets with Stochastic Volatility, the authors study the pricing and hedging of financial derivatives under stochastic volatility in equity, interest-rate, and credit markets. They present and analyze multiscale stochastic volatility models and asymptotic approximations. These can be used in equity markets, for instance, to link the prices of path-dependent exotic instruments to market implied volatilities. The methods are also used for interest rate and credit derivatives. Other applications considered include variance-reduction techniques, portfolio optimization, forward-looking estimation of CAPM 'beta', and the Heston model and generalizations of it. 'Off-the-shelf' formulas and calibration tools are provided to ease the transition for practitioners who adopt this new method. The attention to detail and explicit presentation make this also an excellent text for a graduate course in financial and applied mathematics.
Author: Thomas B. Fomby Publisher: Emerald Group Publishing ISBN: 1848551975 Category : Business & Economics Languages : en Pages : 302
Book Description
Covers credit risk and credit derivatives. This book offers several points of view on credit risk when looked at from the perspective of Econometrics and Financial Mathematics. It addresses the challenge of modeling defaults and their correlations, and results on copula, reduced form and structural models, and the top-down approach.
Author: Jorge R. Sobehart Publisher: John Wiley & Sons ISBN: 139422009X Category : Business & Economics Languages : en Pages : 503
Book Description
A holistic view on climate risk and practical ways to model and measure it Advanced Analytical Methods for Climate Risk and ESG Risk Management provides risk management professionals and other interested parties with an introduction to climate risk, a detailed history of climate change, and analytical risk management methods. Readers will gain insight on the potential impact of climate change and learn to apply a concrete three-pronged framework for risk modelling and assessment. The management of climate risk—regardless of the size of the business or of the potential loss—is also considered in detail, with discussions of risk allocation, portfolio optimization, regulatory constraints, and sustainable goal setting. The development of advanced risk management analytical methods for ESG and climate risk is limited. This book fills a gap by offering a comprehensive review of modelling theory and methods for addressing the accelerating changes to the planet's climate. Gain thorough background knowledge of climate science, the history of climate change, and the current political and public policy landscape Understand how global climate shifts introduce localized impacts to business Identify, measure, and manage financial and operational risks Utilize a concrete methodology for stress testing portfolios and accounting for risk Risk management professionals in financial institutions, along with academics and advanced students of economics and finance, will be grateful for this comprehensive approach to climate and ESG risk. Regulators will also benefit from the thorough considerations outlined in Advanced Analytical Methods for Climate Risk and ESG Risk Management.
Author: Srichander Ramaswamy Publisher: John Wiley & Sons ISBN: 0471488321 Category : Business & Economics Languages : en Pages : 256
Book Description
Expert guidance on managing credit risk in bond portfolios Managing Credit Risk in Corporate Bond Portfolios shows readers howto measure and manage the risks of a corporate bond portfolioagainst its benchmark. This comprehensive guide explores a widerange of topics surrounding credit risk and bond portfolios,including the similarities and differences between corporate andgovernment bond portfolios, yield curve risk, default and creditmigration risk, Monte Carlo simulation techniques, and portfolioselection methods. Srichander Ramaswamy, PhD (Basel, Switzerland), is Head ofInvestment Analysis at the Bank for International Settlements (BIS)in Basel, Switzerland, and Adjunct Professor of Banking andFinance, University of Lausanne.
Author: Alexander Lipton
Author: Youssef Elouerkhaoui
Author: Leszek Plaskota
Author: Jean-Pierre Fouque
Author: Thomas B. Fomby
Author: Jorge R. Sobehart
Author: American Mathematical Society
Author: 
Author: University of Virginia
Author: Srichander Ramaswamy