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Problems and Solutions in Mathematical Finance - Stochastic Calculus V1 (Hardcover, Volume 1)
Loot Price: R1,217
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Problems and Solutions in Mathematical Finance - Stochastic Calculus V1 (Hardcover, Volume 1)
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A guide to stochastic calculus as the basis behind mathematical
finance An increasingly popular field of study at universities and
an essential skill for investment bank employees, mathematical
finance has changed dramatically in recent years, but its roots
remain in stochastic calculus. Problems and Solutions in
Mathematical Finance: Volume 1 provides a comprehensive explanation
of stochastic calculus and probability theory focusing on their
relationship with mathematical finance. Quantitative analysts Dr.
Eric Chin and Dian Nel and Professor Sverrir Olafsson portray
stochastic calculus' role in generating partial differentiation
equations for pricing options and constructing probability measures
in conjunction with martingale theory. Mathematical and
computational finance rely on computational intelligence, numerical
methods, and computer simulations to make trading, hedging, and
investment decisions, to determine the risk of those decisions, and
to define price derivatives. -Includes chapter-by-chapter
introduction of the fundamental tenets, essential definitions, and
detailed explanations needed to solve financial problems -Offers
advice from experts in price testing methodologies, model
calibration, energy markets, hedging in incomplete markets, and
risk management Problems and Solutions in Mathematical Finance:
Volume 1 functions as either an independent information text or a
study supplement for students and practitioners eager to recover
the basics of mathematical finance.
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