Hidden Financial Risk

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Hidden Financial Risk
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Author : J. Edward Ketz
language : en
Publisher: John Wiley & Sons
Release Date : 2003-08-08
Hidden Financial Risk written by J. Edward Ketz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-08 with Business & Economics categories.
An insider's guide to understanding and eliminating accounting fraud How do these high-profile accounting scandals occur and what could have been done to prevent them. Hidden Financial Risk fills that void by examining methods for off balance sheet accounting, with a particular emphasis on special purpose entities (SPE), the accounting ruse of choice at Enron and other beleaguered companies. J. Edward Ketz identifies the incentives for managers to deceive investors and creditors about financial risk and also shows investors how to protect their investments in a world filled with accounting and auditing frauds. J. Edward Ketz, PhD (State College, PA) is MBA Faculty Director and Associate Professor of Accounting at Penn State's Smeal College of Business. He has been cited in the press nearly 300 times since Enron's bankruptcy, including The New York Times, The Wall Street Journal, and The Washington Post.. He has a regular column in Accounting Today.
Advances In Credit Risk Modeling And Management
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Author : Frédéric Vrins
language : en
Publisher: MDPI
Release Date : 2020-07-01
Advances In Credit Risk Modeling And Management written by Frédéric Vrins and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-01 with Business & Economics categories.
Credit risk remains one of the major risks faced by most financial and credit institutions. It is deeply connected to the real economy due to the systemic nature of some banks, but also because well-managed lending facilities are key for wealth creation and technological innovation. This book is a collection of innovative papers in the field of credit risk management. Besides the probability of default (PD), the major driver of credit risk is the loss given default (LGD). In spite of its central importance, LGD modeling remains largely unexplored in the academic literature. This book proposes three contributions in the field. Ye & Bellotti exploit a large private dataset featuring non-performing loans to design a beta mixture model. Their model can be used to improve recovery rate forecasts and, therefore, to enhance capital requirement mechanisms. François uses instead the price of defaultable instruments to infer the determinants of market-implied recovery rates and finds that macroeconomic and long-term issuer specific factors are the main determinants of market-implied LGDs. Cheng & Cirillo address the problem of modeling the dependency between PD and LGD using an original, urn-based statistical model. Fadina & Schmidt propose an improvement of intensity-based default models by accounting for ambiguity around both the intensity process and the recovery rate. Another topic deserving more attention is trade credit, which consists of the supplier providing credit facilities to his customers. Whereas this is likely to stimulate exchanges in general, it also magnifies credit risk. This is a difficult problem that remains largely unexplored. Kanapickiene & Spicas propose a simple but yet practical model to assess trade credit risk associated with SMEs and microenterprises operating in Lithuania. Another topical area in credit risk is counterparty risk and all other adjustments (such as liquidity and capital adjustments), known as XVA. Chataignier & Crépey propose a genetic algorithm to compress CVA and to obtain affordable incremental figures. Anagnostou & Kandhai introduce a hidden Markov model to simulate exchange rate scenarios for counterparty risk. Eventually, Boursicot et al. analyzes CoCo bonds, and find that they reduce the total cost of debt, which is positive for shareholders. In a nutshell, all the featured papers contribute to shedding light on various aspects of credit risk management that have, so far, largely remained unexplored.
The Ama Handbook Of Financial Risk Management
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Author : John Hampton
language : en
Publisher: AMACOM
Release Date : 2011-04-20
The Ama Handbook Of Financial Risk Management written by John Hampton and has been published by AMACOM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-20 with Business & Economics categories.
In this indispensable book from the industry-leading American Management Association, financial expert John Hampton offers game-changing tips for dealing with the most important areas of financial decision-making. Filled with strategies, principles, and measurement techniques, The AMA Handbook of Financial Risk Management shows readers how to categorize financial risks, reduce risks from cash flow and budget exposures, analyze operating risks, understand the interrelationship of risk and return, manage risks in capital investment decisions, determine the value of common stock, and optimize debt in the capital structure. Engaging and detailed explanations and practical applications enable anyone involved in the financial management of an organization to recognize the factors at stake and the solutions that would produce the best organizational outcomes. Managing financial risk boils down to understanding how to reduce a complex business environment into workable concepts and models. This strategic guide shows you how to make these individual decisions with the big picture in mind.
Machine Learning For Financial Risk Management With Python
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Author : Abdullah Karasan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-12-07
Machine Learning For Financial Risk Management With Python written by Abdullah Karasan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Computers categories.
Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models. Author Abdullah Karasan helps you explore the theory behind financial risk modeling before diving into practical ways of employing ML models in modeling financial risk using Python. With this book, you will: Review classical time series applications and compare them with deep learning models Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning Improve market risk models (VaR and ES) using ML techniques and including liquidity dimension Develop a credit risk analysis using clustering and Bayesian approaches Capture different aspects of liquidity risk with a Gaussian mixture model and Copula model Use machine learning models for fraud detection Predict stock price crash and identify its determinants using machine learning models
Redefining Financial Literacy
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Author : Cindy Couyoumjian
language : en
Publisher: Greenleaf Book Group
Release Date : 2021-04-06
Redefining Financial Literacy written by Cindy Couyoumjian and has been published by Greenleaf Book Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Business & Economics categories.
Redefining and Reclaiming Financial Literacy With over thirty-six years of industry experience, Cindy Couyoumjian is committed to filling the financial literacy void for many Americans. In her timely and thought-provoking book, Cindy gives a unique macro perspective of what she calls “the hidden forces behind your money,” which are the unseen political and economic forces that may influence your investment decisions. Through meticulous research, Cindy shows how these hidden forces have contributed to a complex retirement system, which includes pensions, social security, and what she believes is the outdated 60/40 investment model. To address this issue, Cindy spent endless hours developing a new multi-asset class investment methodology, known as the REALM model, that may offer broader investment strategies aimed to mitigate risk from the hidden forces that may negatively impact your goals. Redefining Financial Literacy can help you • Understand the complex macro forces that you cannot control, yet could determine your financial future, • Take actionable steps to regain command of your retirement strategy, • Build a retirement with potential durable income strategies, lesser volatility, and risk-adjusted returns. Redefining Financial Literacy and Cindy’s innovative REALM model can open your eyes to investment possibilities while helping you regain confidence in the American dream. Diversification does not guarantee profit nor is it guaranteed to protect assets. There is no assurance that any strategy/model will achieve its objectives. Registered Principal offers securities and advisory services through Independent Financial Group, LLC (IFG), a Registered Investment Adviser. Member FINRA/SIPC. IFG, Cinergy Financial, and Greenleaf Book Group are not affiliated companies.
Hidden In Plain Sight
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Author : Peter J. Wallison
language : en
Publisher: Encounter Books
Release Date : 2016-03-29
Hidden In Plain Sight written by Peter J. Wallison and has been published by Encounter Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-29 with Business & Economics categories.
The 2008 financial crisis—like the Great Depression—was a world-historical event. What caused it will be debated for years, if not generations. The conventional narrative is that the financial crisis was caused by Wall Street greed and insufficient regulation of the financial system. That narrative produced the Dodd-Frank Act, the most comprehensive financial-system regulation since the New Deal. There is evidence, however, that the Dodd-Frank Act has slowed the recovery from the recession. If insufficient regulation caused the financial crisis, then the Dodd-Frank Act will never be modified or repealed; proponents will argue that doing so will cause another crisis. A competing narrative about what caused the financial crisis has received little attention. This view, which is accepted by almost all Republicans in Congress and most conservatives, contends that the crisis was caused by government housing policies. This book extensively documents this view. For example, it shows that in June 2008, before the crisis, 58 percent of all US mortgages were subprime or other low-quality mortgages. Of these, 76 percent were on the books of government agencies such as Fannie Mae and Freddie Mac. When these mortgages defaulted in 2007 and 2008, they drove down housing prices and weakened banks and other mortgage holders, causing the crisis. After this book is published, no one will be able to claim that the financial crisis was caused by insufficient regulation, or defend Dodd-Frank, without coming to terms with the data this book contains.
Hidden Markov Models In Finance
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Author : Rogemar S. Mamon
language : en
Publisher: Springer
Release Date : 2010-11-25
Hidden Markov Models In Finance written by Rogemar S. Mamon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-25 with Business & Economics categories.
A number of methodologies have been employed to provide decision making solutions globalized markets. Hidden Markov Models in Finance offers the first systematic application of these methods to specialized financial problems: option pricing, credit risk modeling, volatility estimation and more. The book provides tools for sorting through turbulence, volatility, emotion, chaotic events – the random "noise" of financial markets – to analyze core components.
Financial Enterprise Risk Management
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Author : Paul Sweeting
language : en
Publisher: Cambridge University Press
Release Date : 2011-09-01
Financial Enterprise Risk Management written by Paul Sweeting and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-01 with Mathematics categories.
Financial Enterprise Risk Management provides all the tools needed to build and maintain a comprehensive ERM framework. As well as outlining the construction of such frameworks, it discusses the internal and external contexts within which risk management must be carried out. It also covers a range of qualitative and quantitative techniques that can be used to identify, model and measure risks, and describes a range of risk mitigation strategies. Over 100 diagrams are used to help describe the range of approaches available, and risk management issues are further highlighted by various case studies. A number of proprietary, advisory and mandatory risk management frameworks are also discussed, including Solvency II, Basel III and ISO 31000:2009. This book is an excellent resource for actuarial students studying for examinations, for risk management practitioners and for any academic looking for an up-to-date reference to current techniques.
Plight Of The Fortune Tellers
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Author : Riccardo Rebonato
language : en
Publisher: Princeton University Press
Release Date : 2010-11-08
Plight Of The Fortune Tellers written by Riccardo Rebonato and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-08 with Business & Economics categories.
Today's top financial professionals have come to rely on ever-more sophisticated mathematics in their attempts to come to grips with financial risk. But this excessive reliance on quantitative precision is misleading--and puts everyone at risk. In Plight of the Fortune Tellers, Riccardo Rebonato forcefully argues that we must restore genuine decision making to our financial planning. Presenting a financial model that uses probability, experimental psychology, and decision theory, Rebonato challenges us to rethink the standard wisdom about risk management. He offers a radical yet surprisingly commonsense solution: managing risk comes down to real people making decisions under uncertainty. Plight of the Fortune Tellers is a must-read for anyone concerned about how today's financial markets are run. In a new preface, Rebonato explains how the ideas presented in this book fit into the context of the global financial crisis that followed its original publication. He argues that risk managers are still stuck in a probabilistic rut, and need to engage with the structural causes of real events.
Risk Management
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Author : Bennett W. Golub
language : en
Publisher: John Wiley & Sons
Release Date : 2000-07-11
Risk Management written by Bennett W. Golub and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-07-11 with Business & Economics categories.
RISK MANAGEMENT APPROACHES FOR FIXED INCOME MARKETS "Golub-Tilman will, I believe, become an absolutely essential reference text for fixed income portfolio managers, traders, issuers, and scholars. It is comprehensive and clearly written. While rigorous, it is easy to understand because of its many practical examples." —Richard Roll, The Allstate Chair in Finance and Insurance, The Anderson School at UCLA, Past President, American Finance Association "Outstanding and unique! A thorough discussion of the theoretical underpinning of risk management combined with keen insights from a practitioner's perspective. This text will rank among the most essential readings for both market professionals and academics." —Gregory J. Parseghian, Senior Vice President and Chief Investment Officer, Freddie Mac "The most systematic and comprehensive overview of fixed income risk management." —Philippe Jorion, Professor of Finance, University of California-Irvine, Author, Value at Risk: The New Benchmark for Controlling Derivatives Risk "An inside look at approaches to fixed income risk management developed at a leading investment firm. The rigorous presentation covers both theoretical and practical considerations as well as their applications to portfolio management. Very interesting and highly recommended." —Charles W. Grant, Managing Director of Fixed Income, Virginia Retirement System "Few, if any, financial studies have managed to reconcile practical market experience and scientific discipline within such an original approach and with such elegance! An absolute must for anyone in the world of fixed income." —Michele Donegani, Head of Asset Allocation and Manager Selection, European Investment Managers (EIM)