This volume explains ways to create financial tools and how the tools work together to achieve specific goals. Applications are illustrated using real-world examples. It presents three new chapters on financial engineering in topics ranging from commodity markets to financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles, and how to incorporate counterparty risk into derivatives pricing. Poised midway between intuition, actual events, and financial mathematics, this book can be used to solve problems in risk management, taxation, regulation, and above all, pricing. A solutions manual enhances the text by presenting additional cases and solutions to exercises.
This latest edition of Principles of Financial Engineering is ideal for financial engineers, quantitative analysts in banks and investment houses, and other financial industry professionals. It is also highly recommended to graduate students in financial engineering and financial mathematics programs.The Third Edition presents three new chapters on financial engineering in commodity markets, financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles and how to incorporate counterparty risk into derivatives pricing, among other topicsAdditions, clarifications, and illustrations throughout the volume show these instruments at work instead of explaining how they should actThe solutions manual enhances the text by presenting additional cases and solutions to exercises
Dr. Philipp J. Schönbucher is a professor at the Swiss Federal Institute of Technology (ETH), Zurich, and has degrees in mathematics from Oxford University and a PhD in economics from Bonn University. He has taught various training courses organized by ICM and CIFT, and lectured at risk conferences for practitioners on credit derivatives pricing, credit risk modeling, and implementation.
Credit Securitisations and Derivatives is a one-stop resource presenting the very latest thinking and developments in the field of credit risk. Written by leading thinkers from academia, the industry, and the regulatory environment, the book tackles areas such as business cycles; correlation modelling and interactions between financial markets, institutions, and instruments in relation to securitisations and credit derivatives; credit portfolio risk; credit portfolio risk tranching; credit ratings for securitisations; counterparty credit risk and clearing of derivatives contracts and liquidity risk. As well as a thorough analysis of the existing models used in the industry, the book will also draw on real life cases to illustrate model performance under different parameters and the impact that using the wrong risk measures can have.
The importance of the IOS concept is beginning to be acknowledged in the literature of empirical accounting, finance, and management. There, the investment opportunity set is introduced as an explanatory or moderating variable of the relationship between accounting and economic phenomena and various predictor variables. Riahi-Belkaoui explicates a concept of growth opportunities or IOS (Chapter 1) and provides a general model for its measurement (Chapter 2). He shows its role in a general valuation model based on dividend yield and price earnings ratio (Chapter 3), in the relationship between profitability and multinationality (Chapter 4), in the determination of capital structure (Chapter 5), in a general model of international production (Chapter 6), in a general model of corporate disclosure (Chapter 7), in the relationship between systematic risk and multinationality (Chapter 8), in a model of reputation building (Chapter 9), and earnings management (Chapter 10). He goes on to discuss its role in explaining the relative market value compared to the accounting value of a multinational firm in Chapter 11, and in differentiating between the usefulness of accrual and cash flow based on valuation models in Chapter 12.
The book can be used both as a text for students of financial engineering, and as a basic reference for risk managers, traders, and academics.