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Model Risk In Financial Markets From Financial Engineering To Risk Management


Model Risk In Financial Markets From Financial Engineering To Risk Management
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Model Risk In Financial Markets From Financial Engineering To Risk Management


Model Risk In Financial Markets From Financial Engineering To Risk Management
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Author : Radu Sebastian Tunaru
language : en
Publisher: World Scientific
Release Date : 2015-06-08

Model Risk In Financial Markets From Financial Engineering To Risk Management written by Radu Sebastian Tunaru and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-08 with Business & Economics categories.


The financial systems in most developed countries today build up a large amount of model risk on a daily basis. However, this is not particularly visible as the financial risk management agenda is still dominated by the subprime-liquidity crisis, the sovereign crises, and other major political events. Losses caused by model risk are hard to identify and even when they are internally identified, as such, they are most likely to be classified as normal losses due to market evolution.Model Risk in Financial Markets: From Financial Engineering to Risk Management seeks to change the current perspective on model innovation, implementation and validation. This book presents a wide perspective on model risk related to financial markets, running the gamut from financial engineering to risk management, from financial mathematics to financial statistics. It combines theory and practice, both the classical and modern concepts being introduced for financial modelling. Quantitative finance is a relatively new area of research and much has been written on various directions of research and industry applications. In this book the reader gradually learns to develop a critical view on the fundamental theories and new models being proposed.



Model Risk In Financial Markets


Model Risk In Financial Markets
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Author : Radu Tunaru
language : en
Publisher: World Scientific Publishing Company Incorporated
Release Date : 2015

Model Risk In Financial Markets written by Radu Tunaru and has been published by World Scientific Publishing Company Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Business & Economics categories.


The financial systems in most developed countries today build up a large amount of model risk on a daily basis. However, this is not particularly visible as the financial risk management agenda is still dominated by the subprime-liquidity crisis, the sovereign crises, and other major political events. Losses caused by model risk are hard to identify and even when they are internally identified, as such, they are most likely to be classified as normal losses due to market evolution. Model Risk in Financial Markets: From Financial Engineering to Risk Management seeks to change the current perspective on model innovation, implementation and validation. This book presents a wide perspective on model risk related to financial markets, running the gamut from financial engineering to risk management, from financial mathematics to financial statistics. It combines theory and practice, both the classical and modern concepts being introduced for financial modelling. Quantitative finance is a relatively new area of research and much has been written on various directions of research and industry applications. In this book the reader gradually learns to develop a critical view on the fundamental theories and new models being proposed.



Understanding And Managing Model Risk


Understanding And Managing Model Risk
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Author : Massimo Morini
language : en
Publisher: John Wiley & Sons
Release Date : 2011-10-20

Understanding And Managing Model Risk written by Massimo Morini 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 2011-10-20 with Business & Economics categories.


A guide to the validation and risk management of quantitative models used for pricing and hedging Whereas the majority of quantitative finance books focus on mathematics and risk management books focus on regulatory aspects, this book addresses the elements missed by this literature--the risks of the models themselves. This book starts from regulatory issues, but translates them into practical suggestions to reduce the likelihood of model losses, basing model risk and validation on market experience and on a wide range of real-world examples, with a high level of detail and precise operative indications.



Practical Methods Of Financial Engineering And Risk Management


Practical Methods Of Financial Engineering And Risk Management
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Author : Rupak Chatterjee
language : en
Publisher: Apress
Release Date : 2014-09-26

Practical Methods Of Financial Engineering And Risk Management written by Rupak Chatterjee and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-26 with Business & Economics categories.


Risk control, capital allocation, and realistic derivative pricing and hedging are critical concerns for major financial institutions and individual traders alike. Events from the collapse of Lehman Brothers to the Greek sovereign debt crisis demonstrate the urgent and abiding need for statistical tools adequate to measure and anticipate the amplitude of potential swings in the financial markets—from ordinary stock price and interest rate moves, to defaults, to those increasingly frequent "rare events" fashionably called black swan events. Yet many on Wall Street continue to rely on standard models based on artificially simplified assumptions that can lead to systematic (and sometimes catastrophic) underestimation of real risks. In Practical Methods of Financial Engineering and Risk Management, Dr. Rupak Chatterjee— former director of the multi-asset quantitative research group at Citi—introduces finance professionals and advanced students to the latest concepts, tools, valuation techniques, and analytic measures being deployed by the more discerning and responsive Wall Street practitioners, on all operational scales from day trading to institutional strategy, to model and analyze more faithfully the real behavior and risk exposure of financial markets in the cold light of the post-2008 realities. Until one masters this modern skill set, one cannot allocate risk capital properly, price and hedge derivative securities realistically, or risk-manage positions from the multiple perspectives of market risk, credit risk, counterparty risk, and systemic risk. The book assumes a working knowledge of calculus, statistics, and Excel, but it teaches techniques from statistical analysis, probability, and stochastic processes sufficient to enable the reader to calibrate probability distributions and create the simulations that are used on Wall Street to valuate various financial instruments correctly, model the risk dimensions of trading strategies, and perform the numerically intensive analysis of risk measures required by various regulatory agencies.



Modeling Financial Markets


Modeling Financial Markets
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Author : Benjamin Van Vliet
language : en
Publisher: McGraw Hill Professional
Release Date : 2004-01-22

Modeling Financial Markets written by Benjamin Van Vliet and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-22 with Business & Economics categories.


Limitations in today's software packages for financial modeling system development can threaten the viability of any system--not to mention the firm using that system. Modeling Financial Markets is the first book to take financial professionals beyond those limitations to introduce safer, more sophisticated modeling methods. It contains dozens of techniques for financial modeling in code that minimize or avoid current software deficiencies, and addresses the crucial crossover stage in which prototypes are converted to fully coded models.



Risk Management And Financial Institutions Web Site


Risk Management And Financial Institutions Web Site
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Author : John Hull
language : en
Publisher: John Wiley & Sons
Release Date : 2012-05-08

Risk Management And Financial Institutions Web Site written by John Hull 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 2012-05-08 with Business & Economics categories.


This text takes risk management theory and explains it in a 'this is how you do it' manner for practical application in today's financial world.



Financial Risk Management And Modeling


Financial Risk Management And Modeling
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Author : Constantin Zopounidis
language : en
Publisher: Springer Nature
Release Date : 2021-09-13

Financial Risk Management And Modeling written by Constantin Zopounidis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-13 with Business & Economics categories.


Risk is the main source of uncertainty for investors, debtholders, corporate managers and other stakeholders. For all these actors, it is vital to focus on identifying and managing risk before making decisions. The success of their businesses depends on the relevance of their decisions and consequently, on their ability to manage and deal with the different types of risk. Accordingly, the main objective of this book is to promote scientific research in the different areas of risk management, aiming at being transversal and dealing with different aspects of risk management related to corporate finance as well as market finance. Thus, this book should provide useful insights for academics as well as professionals to better understand and assess the different types of risk.



The Risk Modeling Evaluation Handbook Rethinking Financial Risk Management Methodologies In The Global Capital Markets


The Risk Modeling Evaluation Handbook Rethinking Financial Risk Management Methodologies In The Global Capital Markets
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Author : Greg N. Gregoriou
language : en
Publisher: Mcgraw-hill
Release Date : 2010-01-22

The Risk Modeling Evaluation Handbook Rethinking Financial Risk Management Methodologies In The Global Capital Markets written by Greg N. Gregoriou and has been published by Mcgraw-hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-22 with Business & Economics categories.


The first in-depth analysis of inherent deficiencies in present practices “A book like this helps reduce the chance of a future breakdown in risk management.” Professor Campbell R. Harvey, the Fuqua School of Business, Duke University “A very timely and extremely useful guide to the subtle and often difficult issues involved in model risk—a subject which is only now gaining the prominence it should always have had.” Professor Kevin Dowd, Nottingham University Business School, the University of Nottingham “This book collects authoritative papers on a timely and important topic . . . and should lead to many new insights.” Professor Philip Hans Franses, Erasmus School of Economics, Erasmus University “Inadequate valuation and risk management models have played their part in triggering the recent economic turmoil felt around the world. This timely book, written by experts in the field of model risk, will surely help risk managers and financial engineers measure and manage risk effectively.” Dr. Fabrice Douglas Rouah, Vice President, State Street Corporation “This invaluable handbook has been edited by experts . . . and should prove to be of great value to investment finance and credit risk modelers in a wide range of disciplines related to portfolio risk, risk modeling in finance, international money and finance, country risk, and macroeconomics.” Professor Michael McAleer, Erasmus School of Economics, Erasmus University About the Book: If we have learned anything from the global financial collapse of 2008, it is this: the mathematical risk models currently used by financial institutions are no longer adequate quantitative measures of risk exposure. In The Risk Modeling Evaluation Handbook, an international team of 48 experts evaluates the problematic risk-modeling methods used by large financial institutions and breaks down how these models contributed to the decline of the global capital markets. Their conclusions enable you to identify the shortcomings of the most widely used risk models and create sophisticated strategies for properly implementing these models into your investing portfolio. Chapters include: Model Risk: Lessons from Past Catastrophes (Scott Mixon) Effect of Benchmark Misspecification on Riskadjusted Performance Measures (Laurent Bodson and George Hübner) Carry Trade Strategies and the Information Content of Credit Default Swaps (Raphael W. Lam and Marco Rossi) Concepts to Validate Valuation Models (Peter Whitehead) Beyond VaR: Expected Shortfall and Other Coherent Risk Measures (Andreas Krause) Model Risk in Credit Portfolio Modeling (Matthias Gehrke and Jeffrey Heidemann) Asset Allocation under Model Risk (Pauline M. Barrieu and Sandrine Tobolem) This dream team of the masters of risk modeling provides expansive explanations of the types of model risk that appear in risk measurement, risk management, and pricing, as well as market-tested techniques for mitigating risk in loan, equity, and derivative portfolios. The Risk Modeling Evaluation Handbook is the go-to guide for improving or adjusting your approach to modeling financial risk.



Bayesian Risk Management


Bayesian Risk Management
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Author : Matt Sekerke
language : en
Publisher: John Wiley & Sons
Release Date : 2015-09-15

Bayesian Risk Management written by Matt Sekerke 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 2015-09-15 with Business & Economics categories.


A risk measurement and management framework that takes model risk seriously Most financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. Bayesian Risk Management details a more flexible approach to risk management, and provides tools to measure financial risk in a dynamic market environment. This book opens discussion about uncertainty in model parameters, model specifications, and model-driven forecasts in a way that standard statistical risk measurement does not. And unlike current machine learning-based methods, the framework presented here allows you to measure risk in a fully-Bayesian setting without losing the structure afforded by parametric risk and asset-pricing models. Recognize the assumptions embodied in classical statistics Quantify model risk along multiple dimensions without backtesting Model time series without assuming stationarity Estimate state-space time series models online with simulation methods Uncover uncertainty in workhorse risk and asset-pricing models Embed Bayesian thinking about risk within a complex organization Ignoring uncertainty in risk modeling creates an illusion of mastery and fosters erroneous decision-making. Firms who ignore the many dimensions of model risk measure too little risk, and end up taking on too much. Bayesian Risk Management provides a roadmap to better risk management through more circumspect measurement, with comprehensive treatment of model uncertainty.



Modeling Financial Markets


Modeling Financial Markets
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Author : Benjamin Van Vliet
language : en
Publisher: McGraw-Hill Companies
Release Date : 2004-01-01

Modeling Financial Markets written by Benjamin Van Vliet and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Business & Economics categories.


Limitations in today's software packages for financial modeling system development can threaten the viability of any system--not to mention the firm using that system. Modeling Financial Markets is the first book to take financial professionals beyond those limitations to introduce safer, more sophisticated modeling methods. It contains dozens of techniques for financial modeling in code that minimize or avoid current software deficiencies, and addresses the crucial crossover stage in which prototypes are converted to fully coded models.