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Practical Methods of Financial Engineering and Risk Management - Tools for Modern Financial Professionals (Paperback, 1st ed.)
Loot Price: R3,567
Discovery Miles 35 670
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Practical Methods of Financial Engineering and Risk Management - Tools for Modern Financial Professionals (Paperback, 1st ed.)
Expected to ship within 10 - 15 working days
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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.
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