Explore the vast range of titles available.

\"The book's content is focused on rigorous and advanced quantitative methods for the pricing and hedging of counterparty credit and funding risk. The new general theory that is required for this methodology is developed from scratch, leading to a consistent and comprehensive framework for counterparty credit and funding risk, inclusive of collateral, netting rules, possible debit valuation adjustments, re-hypothecation and closeout rules. The book however also looks at quite practical problems, linking particular models to particular 'concrete' financial situations across asset classes, including interest rates, FX, commodities, equity, credit itself, and the emerging asset class of longevity. The authors also aim to help quantitative analysts, traders, and anyone else needing to frame and price counterparty credit and funding risk, to develop a 'feel' for applying sophisticated mathematics and stochastic calculus to solve practical problems. The main models are illustrated from theoretical formulation to final implementation with calibration to market data, always keeping in mind the concrete questions being dealt with. The authors stress that each model is suited to different situations and products, pointing out that there does not exist a single model which is uniformly better than all the others, although the problems originated by counterparty credit and funding risk point in the direction of global valuation. Finally, proposals for restructuring counterparty credit risk, ranging from contingent credit default swaps to margin lending, are considered\"--provided by publisher.

\"A guide to the validation and risk management of quantitative models used for pricing and hedging. Whereas the majority of quantitative finance books focus on mathematics and risk management books focus on regulatory aspects, this book addresses the elements missed by this literature--the risks of the models themselves. This book starts from regulatory issues, but translates them into practical suggestions to reduce the likelihood of model losses, basing model risk and validation on market experience and on a wide range of real-world examples, with a high level of detail and precise operative indications\"--

\"Understanding and Managing Model Risk is a guide to the validation and risk management of quantitative models used for pricing and hedging\"--

The book's content is focused on rigorous and advanced quantitative methods for the pricing and hedging of counterparty credit and funding risk. The new general theory that is required for this methodology is developed from scratch, leading to a consistent and comprehensive framework for counterparty credit and funding risk, inclusive of collateral, netting rules, possible debit valuation adjustments, re-hypothecation and closeout rules. The book however also looks at quite practical problems, linking particular models to particular 'concrete' financial situations across asset classes, including interest rates, FX, commodities, equity, credit itself, and the emerging asset class of longevity. The authors also aim to help quantitative analysts, traders, and anyone else needing to frame and price  counterparty credit and funding risk, to develop a 'feel' for applying sophisticated mathematics and stochastic calculus to solve practical problems. The main models are illustrated from theoretical formulation to final implementation with calibration to market data, always keeping in mind the concrete questions being dealt with. The authors stress that each model is suited to different situations and products, pointing out that there does not exist a single model which is uniformly better than all the others, although the problems originated by counterparty credit and funding risk point in the direction of global valuation. Finally, proposals for restructuring counterparty credit risk, ranging from contingent credit default swaps to margin lending, are considered.

The book's content is focused on rigorous and advanced quantitative methods for the pricing and hedging of counterparty credit and funding risk. The new general theory that is required for this methodology is developed from scratch, leading to a consistent and comprehensive framework for counterparty credit and funding risk, inclusive of collateral, netting rules, possible debit valuation adjustments, re-hypothecation and closeout rules. The book however also looks at quite practical problems, linking particular models to particular 'concrete' financial situations across asset classes, incl

\"Understanding and Managing Model Risk is a guide to the validation and risk management of quantitative models used for pricing and hedging\"--

This article presents a new method for the analytical calibration of the LIBOR Market Model. We start from the swaptions cascade calibration algorithm (CCA) introduced by Brigo and Mercurio. The CCA is very fast, leads to the perfect recovery of market quotes, and induces a direct correspondence between market volatilities and model parameters. However, tests in the previous literature are affected by numerical problems. This leads us to perform first an analysis of the effects of different correlation structures on calibration, isolating key features that impact the regularity of the outputs, and hence detecting a range of cases leading to regular results. Then we study the link between the remaining irregularities and the use in calibration of artificial data computed via interpolation between market quotations, and introduce a new calibration algorithm. This algorithm, called Endogenous Interpolation CCA, maintains all positive characteristics of cascade calibration but is based only on directly quoted market data. Empirical results show this new algorithm to be robust and efficient, a remarkable improvement over the basic CCA. Regular and financially significant calibration outputs and diagnostic structures are now normally obtained across general market situations and model parameterizations. Finally, we use Monte Carlo simulation to investigate the reliability of the approximation underlying cascade calibration and consider the joint calibration including caps. [PUBLICATION ABSTRACT]

This chapter contains sections titled: What Is Model Risk? Foundations of Modelling and the Reality of Markets Accounting for Modellers What Regulators Said After the Crisis Model Validation and Risk Management: Practical Steps