Covers financial engineering techniques for corporations: identifying risk, comparing alternative hedging strategies and managing the contractual tools of their investment positions. Includes extensive, step-by-step illustrative case studies showing actual business strategies in changing market environments. Covers all types of businesses. Discusses legal, regulatory, accounting and tax considerations. Provides sample contracts.

Inhaltsangabe:Introduction: The importance of a systematic risk identification, measurement and management as a management duty has increased in recent years. After risk management and interest risk management in particular was primarily relevant for banks in the past, it is a crucial competition factor for all enterprises today. Especially since the recent financial crisis treasurers are far more risk conscious and companies are reassessing their financial risk management procedures. The most important parameter for the cost of financing and the return of capital investments is the interest rate. However the interest rate is subject to fluctuations, what constitute the interest rate risk the company is exposed to. With increasing volatile financial markets and global competition CFOs are focusing more and more on an efficient measurement and management of interest rate risk. In this context this academic paper aims to point out the risks of an adverse change in interest rates for a corporate portfolio of interest-bearing positions and show possibilities to measure and manage these risks. The 2nd and 3rd sections set the scene for interest risk management in a corporate treasury of a service enterprise by providing essential knowledge about financial risk management and giving an insight into the characteristics of a service enterprise as well as the responsibilities of a corporate treasury and the factors that influence the treasury risk management approach. In section 4 and 5 respectively follows a process-oriented instruction of how to quantify interest rate risk and how to manage it. Besides the risk measures duration and convexity (4.2), two different approaches to value at risk, the historical simulation (4.3.2) and the variance-covariance-approach (4.3.3), will be examined. The value at risk is a measure to quantify risk that allows to express the risk exposure with a single absolute figure. For the management of the interest rate risk an overview of possible hedging instruments to reduce interest risk exposure will be given and their different strategies examined (5.1). All approaches will be measured against their practical feasibility and for both, the quantification and the management of interest rate risk, implications for the implementation in a service enterprise will be provided (4.5; 5.2). This will also be illustrated in a case study in section six. The conclusion serves for a critical reflection of all methods being [...]

The latest research on measuring, managing and pricing financial risk. Three broad perspectives are considered: financial risk in non-financial corporations; in financial intermediaries such as banks; and finally within the context of a portfolio of securities of different credit quality and marketability.

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

Financial risk management is a topic of primary importance in financial markets. It is important to learn how to measure and control risk, how to be primed for the opportunity of compensative return, and how to avoid useless exposure.

This publication links information asymmetries and decision processes of financial investors through quantitative models. The aim is to analyze empirical observations and synthesize outputs in order to add new academic insights with practical pertinence. Multivariate scoring models and statistical analyses investigate situations on the market level that enables corporations to lower their capital costs if specific conditions are met. Scenario techniques and further econometrical models are applied to research the microeconomic level.

A concise introduction to financial risk management strategies, policies, and techniques This ideal guide for business professionals focuses on strategic and management issues associated with financial risk. Essentials of Financial Risk Management identifies risk-mitigation policies and strategies; suggestions for determining an organization's risk tolerance; and sources of risk associated with currency exchange rates, interest rates, credit exposure, commodity prices, and other related events. Examples illustrate risk scenarios and offer tips on an array of management alternatives, including changes in the way business is conducted and hedging strategies involving derivatives.

A global banking risk management guide geared toward the practitioner Financial Risk Management presents an in-depth look at banking risk on a global scale, including comprehensive examination of the U.S. Comprehensive Capital Analysis and Review, and the European Banking Authority stress tests. Written by the leaders of global banking risk products and management at SAS, this book provides the most up-to-date information and expert insight into real risk management. The discussion begins with an overview of methods for computing and managing a variety of risk, then moves into a review of the economic foundation of modern risk management and the growing importance of model risk management. Market risk, portfolio credit risk, counterparty credit risk, liquidity risk, profitability analysis, stress testing, and others are dissected and examined, arming you with the strategies you need to construct a robust risk management system. The book takes readers through a journey from basic market risk analysis to major recent advances in all financial risk disciplines seen in the banking industry. The quantitative methodologies are developed with ample business case discussions and examples illustrating how they are used in practice. Chapters devoted to firmwide risk and stress testing cross reference the different methodologies developed for the specific risk areas and explain how they work together at firmwide level. Since risk regulations have driven a lot of the recent practices, the book also relates to the current global regulations in the financial risk areas. Risk management is one of the fastest growing segments of the banking industry, fueled by banks' fundamental intermediary role in the global economy and the industry's profit-driven increase in risk-seeking behavior. This book is the product of the authors' experience in developing and implementing risk analytics in banks around the globe, giving you a comprehensive, quantitative-oriented risk management guide specifically for the practitioner. Compute and manage market, credit, asset, and liability risk Perform macroeconomic stress testing and act on the results Get up to date on regulatory practices and model risk management Examine the structure and construction of financial risk systems Delve into funds transfer pricing, profitability analysis, and more Quantitative capability is increasing with lightning speed, both methodologically and technologically. Risk professionals must keep pace with the changes, and exploit every tool at their disposal. Financial Risk Management is the practitioner's guide to anticipating, mitigating, and preventing risk in the modern banking industry.

The essential guide to managing financial institution risk, fully revised and updated The dangers inherent in the financial system make understanding risk management essential for anyone working in, or planning to work in, the financial sector. A practical resource for financial professionals and students alike, Risk Management and Financial Institutions, Third Edition explains all aspects of financial risk as well as the way financial institutions are regulated, to help readers better understand financial markets and potential dangers. Fully revised and updated, this new edition features coverage of Basel 2.5, Basel III and Dodd-Frank as well as expanded sections on counterparty credit risk, central clearing, and collateralization. In addition, end-of-chapter practice problems and a website featuring supplemental materials designed to provide a more comprehensive learning experience make this the ultimate learning resource. Written by acclaimed risk management expert, John Hull, Risk Management and Financial Institutions is the only book you need to understand—and respond to—financial risk. The new edition of the financial risk management bestseller Describes the activities of different types of financial institutions, explains how they are regulated, and covers market risk, credit risk, operational risk, liquidity risk, and model risk Features new coverage of Basel III, Dodd-Frank, counterparty credit risk, central clearing, collateralization, and much more Provides readers with access to a supplementary website offering software and unique learning aids Author John Hull is one of the most respected authorities on financial risk management A timely update to the definitive resource on risk in the financial system, Risk Management and Financial Institutions + Web Site, Third Edition is an indispensable resource from internationally renowned expert John Hull.

Financial institutions face a critical challenge in managing financial risks effectively under the stringent regulatory frameworks of Basel III and Solvency II. Traditional risk management approaches often need to provide the necessary tools to control risks in a dynamic and evolving market environment. A comprehensive methodology integrating advanced risk analysis concepts and structured frameworks is essential for institutions to achieve optimal risk management outcomes, leading to increased solvency risk, capital requirements, and value at risk (VAR). Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management is a groundbreaking book that presents a transformative approach to financial risk management. Inspired by Peter L. Bernstein's insight on risk control, this book introduces a unique methodology that combines the DMAIC framework with advanced risk analysis concepts. Financial institutions can enhance their risk management processes by applying these tools to internal models for Solvency II and Basel III, reduce solvency risk, and improve competitiveness.