Bøger i Chapman & Hall/CRC Financial Mathematics Series serien

Incorporates the application background of finance and insurance with the theory and applications of Monte Carlo methods. This book presents the methods and algorithms, including the multilevel Monte Carlo method, the statistical Romberg method, and the Heath-Platen estimator, as well as financial and actuarial models.

Shows how the mathematical tools of linear algebra and optimization can quickly and clearly formulate important ideas on the subject. This book covers the concepts of the Markowitz 'budget constraint only' model to a linearly constrained model. It explains how the basic portfolio optimization problem can help determine the optimal investment.

Illustrating mathematical models for structured credit with practical examples, this book presents an introduction to the foundations of structured credit portfolio modeling. It features material on estimation of asset correlations, and benchmark correlations based on securitizations of benchmark portfolios in the market.

Applies advanced analytical and geometrical methods used in physics and mathematics to the financial field. This work introduces tools and methods, including differential geometry, spectral decomposition, and supersymmetry, and applies these methods to practical problems in finance. It focuses on the calibration and dynamics of implied volatility.

Offering insight into how the financial system works and how the credit crisis arose, this book provides a comprehensive account of the credit crunch that is easily understandable to non-specialists. It explains how the financial system was drawn into the crunch and the issues that need to be addressed to prevent further disasters.

Presents both standard and novel results on the axiomatics of the individual choice in an uncertain framework. This work offers an overview of standard portfolio optimization. It provides a review of the main results for static and dynamic cases. It shows how theoretical results can be applied to practical and operational portfolio optimization.

Offers a treatment of option pricing with an emphasis on the valuation of American options on dividend-paying assets. This book reviews valuation principles for European contingent claims and analyses the American contingent claims. It presents basic valuation principles for American options including barrier, capped, and multi-asset options.

Illustrates how a risk management system can be implemented through an understanding of portfolio credit risks, a set of suitable models, and the derivation of reliable empirical results. This volume focuses on the application of products in the financial services industry and the market of credit derivatives.

Suitable for students of mathematical finance, or a quick introduction to researchers and finance practitioners. This book covers the stochastic calculus theory required, as well as many key finance topics, including a chapter dedicated to credit risk modeling.

Reviews quantitative investment strategies and factors that are commonly used in practice, including value, momentum, and quality, accompanied by their academic origins. This work presents advanced techniques and applications in return forecasting models, risk management, portfolio construction, and portfolio implementation.

Suitable for professionals, this title covers the key methods and models of quantitative finance from the perspective of their implementation in C++. It introduces computational finance in a pragmatic manner, focusing on practical implementation.

Presents basic concepts of credit risk modeling. This book also presents advanced topics such as the modeling and evaluation of basket products, credit-linked notes referenced to credit portfolios, collateralized debt obligations, and index tranches.

Risk management combines considerable quantitative skills with practical and intuitive competencies. Presenting both mathematical aspects and practical skills, this book introduces the foundations of risk management and shows how these concepts are used to create practical risk management systems.

Presents an overview of the theoretical, numerical, and empirical aspects of using jump processes in financial modeling. This book demonstrates that the concepts and tools necessary for understanding and implementing models with jumps can be more intuitive that those involved in the Black Scholes and diffusion models.