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.
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.
Описание: Enterprise Risk Management (ERM) represents a fundamental shift in the way businesses must approach risk. As the economy becomes more service driven and globally oriented, businesses cannot afford to let new, unforeseen areas of risk remain unidentified. Currency fluctuations, human resources in foreign countries, evaporating distribution channels, corporate governance, and unprecedented dependence on technology are just a few of the new risks businesses must assess. This book is aimed at the implementers/practitioners and provides a highly structured approach to ERM, making it very easy for the reader to find their way around the book and so implement the process in their own organisation. It contains a number of case studies and practical examples from a variety of industries. The sequence of chapters follows the way in which practitioners would implement ERM and includes risk identification techniques and risk modelling methods, as well as the underlying statistics.
Описание: Enterprise Risk Management (ERM) represents a fundamental shift in the way businesses must approach risk. As the economy becomes more service driven and globally oriented, businesses cannot afford to let new, unforeseen areas of risk remain unidentified. Currency fluctuations, human resources in foreign countries, evaporating distribution channels, corporate governance, and unprecedented dependence on technology are just a few of the new risks businesses must assess. This book is aimed at the implementers/practitioners and provides a highly structured approach to ERM, making it very easy for the reader to find their way around the book and so implement the process in their own organisation. It contains a number of case studies and practical examples from a variety of industries. The sequence of chapters follows the way in which practitioners would implement ERM and includes risk identification techniques and risk modelling methods, as well as the underlying statistics.
Автор: Lev Borodovsky Название: Professional`s Handbook of Financial Risk Management ISBN: 0750641118 ISBN-13(EAN): 9780750641111 Издательство: Elsevier Science Рейтинг: Цена: 49687.00 р. Наличие на складе: Нет в наличии.
Описание: Covers various aspects of financial risk management including an in-depth look at operational risk management, regulation, risk-based capital, and risk adjusted performance measurement. This practical book focuses on practical financial risk management techniques and solutions. It also covers the various roles of the risk management function.
Автор: Lev Borodovsky Название: Professional`s Handbook of Financial Risk Management ISBN: 0750641118 ISBN-13(EAN): 9780750641111 Издательство: Elsevier Science Рейтинг: Цена: 49687.00 р. Наличие на складе: Нет в наличии.
Описание: Covers various aspects of financial risk management including an in-depth look at operational risk management, regulation, risk-based capital, and risk adjusted performance measurement. This practical book focuses on practical financial risk management techniques and solutions. It also covers the various roles of the risk management function.
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