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This work offers forward-thinking, practical solutions to the technical, organizational, cultural, and political problems related to corporate portfolio risk management and to realizing the changes needed to become effective including, but not limited to, a company's many programs and portfolios of projects.
This book is a practical guide to the latest risk management tools and techniques applied in the market to assess and manage credit risks at bank, sovereign, corporate and structured finance level. It strongly advocates the importance of sound credit risk management and how this can be achieved with prudent origination, credit risk policies, approval process, setting of meaningful limits and underwriting criteria. The book discusses the various quantitative techniques used to assess and manage credit risk, including methods to estimate default probabilities, credit value at risk approaches and credit exposure analysis. Basel I, II and III are covered, as are the true meaning of credit ratings, how these are assigned, their limitations, the drivers of downgrades and upgrades, and how credit ratings should be used in practise is explained. Modern Credit Risk Management not only discusses credit risk from a quantitative angle but further explains how important the qualitative and legal assessment is. Credit risk transfer and mitigation techniques and tools are explained, as are netting, ISDA master agreements, centralised counterparty clearing, margin collateral, overcollateralization, covenants and events of default. Credit derivatives are also explained, as are Total Return Swaps (TRS), Credit Linked Notes (CLN) and Credit Default Swaps (CDS). Furthermore, the author discusses what we have learned from the financial crisis of 2007 and sovereign crisis of 2010 and how credit risk management has evolved. Finally the book examines the new regulatory environment, looking beyond Basel to the European Union (EU) Capital Requirements Regulation and Directive (CRR-CRD) IV, the Dodd–Frank Wall Street Reform and Consumer Protection Act. This book is a fully up to date resource for credit risk practitioners and academics everywhere, outlining the latest best practices and providing both quantitative and qualitative insights. It will prove a must-have reference for the field.
This book is a guide to asset and risk management from a practical point of view. It is centered around two questions triggered by the global events on the stock markets since the middle of the last decade: - Why do crashes happen when in theory they should not? - How do investors deal with such crises in terms of their risk measurement and management and as a consequence, what are the implications for the chosen investment strategies? The book presents and discusses two different approaches to finance and investing, i.e., modern portfolio theory and behavioral finance, and provides an overview of stock market anomalies and historical crashes. It is intended to serve as a comprehensive introduction to asset and risk management for bachelor’s and master’s students in this field as well as for young professionals in the asset management industry. A key part of this book is the exercises to further demonstrate the concepts presented with examples and a step-by-step business case. An Excel file with the calculations and solutions for all 17 examples as well as all business case calculations can be downloaded at extras.springer.com.
This textbook demonstrates how Enterprise Risk Management creates value in strategic- and decision-making-processes. The author introduces modern approaches to balancing risk and reward based on many examples of medium-sized and large companies from different industries. Since traditional risk management in practice is often an independent stand-alone process with no impact on decision-making processes, it is unable to create value and ties up resources in the company unnecessarily. Herewith, he serves students as well as practitioners with modern approaches that promote a connection between ERM and corporate management. The author demonstrates in a didactically appropriate manner how companies can use ERM in a concrete way to achieve better risk-reward decisions under uncertainty. Furthermore, theoretical and psychological findings relevant to entrepreneurial decision-making situations are incorporated. This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
The Second Edition of this best-selling book expands its advanced approach to financial risk models by covering market, credit, and integrated risk. With new data that cover the recent financial crisis, it combines Excel-based empirical exercises at the end of each chapter with online exercises so readers can use their own data. Its unified GARCH modeling approach, empirically sophisticated and relevant yet easy to implement, sets this book apart from others. Five new chapters and updated end-of-chapter questions and exercises, as well as Excel-solutions manual, support its step-by-step approach to choosing tools and solving problems. Examines market risk, credit risk, and operational risk Provides exceptional coverage of GARCH models Features online Excel-based empirical exercises
Now in its fifth edition, Derivatives and Internal Models provides a comprehensive and thorough introduction to derivative pricing, risk management and portfolio optimization, covering all relevant topics with enough hands-on, depth of detail to enable readers to develop their own pricing and risk tools. The book provides insight into modern market risk quantification methods such as variance-covariance, historical simulation, Monte Carlo, hedge ratios, etc., including time series analysis and statistical concepts such as GARCH Models or Chi-Square-distributions. It shows how optimal trading decisions can be deduced once risk has been quantified by introducing risk-adjusted performance measures and a complete presentation of modern quantitative portfolio optimization. Furthermore, all the important modern derivatives and their pricing methods are presented; from basic discounted cash flow methods to Black-Scholes, binomial trees, differential equations, finite difference schemes, Monte Carlo methods, Martingales and Numeraires, terms structure models, etc. The fifth edition of this classic finance book has been comprehensively reviewed. New chapters/content cover multicurve bootstrapping, the valuation and hedging of credit default risk that is inherently incorporated in every derivative—both of which are direct and permanent consequences of the financial crises with a large impact on our understanding of modern derivative valuation. The book will be accompanied by downloadable Excel spread sheets, which demonstrate how the theoretical concepts explained in the book can be turned into valuable algorithms and applications and will serve as an excellent starting point for the reader’s own bespoke solutions for valuation and risk management systems.