000			a
999			_c31905 _d31905
008			230420b xxu||||| |||| 00| 0 eng d
020			_a9781138033351
082			_a332.6457 _bLOA
100			_aLo, Ambrose
245			_aDerivative pricing : a problem-based primer
260			_bCRC Press, _aBoca Raton : _c2018
300			_axviii, 432 p. ; _bill., _c27 cm
365			_b79.99 _cGBP _d104.20
490			_aChapman & Hall/CRC financial mathematics series
504			_aIncludes bibliographical references and index.
520			_aThe proliferation of financial derivatives over the past decades, options in particular, has underscored the increasing importance of derivative pricing literacy among students, researchers, and practitioners. Derivative Pricing: A Problem-Based Primer demystifies the essential derivative pricing theory by adopting a mathematically rigorous yet widely accessible pedagogical approach that will appeal to a wide variety of audience. Abandoning the traditional "black-box" approach or theorists' "pedantic" approach, this textbook provides readers with a solid understanding of the fundamental mechanism of derivative pricing methodologies and their underlying theory through a diversity of illustrative examples. The abundance of exercises and problems makes the book well-suited as a text for advanced undergraduates, beginning graduates as well as a reference for professionals and researchers who need a thorough understanding of not only "how," but also "why" derivative pricing works. It is especially ideal for students who need to prepare for the derivatives portion of the Society of Actuaries Investment and Financial Markets Exam.A solutions manual is available for qualified instructors.Ambrose Lo is currently Assistant Professor of Actuarial Science at the Department of Statistics and Actuarial Science at the University of Iowa. He received his Ph.D. in Actuarial Science from the University of Hong Kong in 2014, with dependence structures, risk measures, and optimal reinsurance being his research interests. He is a Fellow of the Society of Actuaries (FSA) and a Chartered Enterprise Risk Analyst (CERA) His research papers have been published in top-tier actuarial journals, such as ASTIN Bulletin: The Journal of the International Actuarial Association, Insurance: Mathematics and Economics, and Scandinavian Actuarial Journal.Emphasis on intuitions, mnemonics as well as common fallacies. FeaturesInterspersed with illustrative examples and end-of-chapter problems that aid a deep understanding of concepts in derivative pricing.Lucid explanations of the theory and assumptions behind various derivative pricing models.Mathematical derivations, while not eschewed, are made maximally accessible.
650			_aBusiness mathematics
650			_aCommercial statistics
650			_aEconomics Statistical methods
650			_aFinance
650			_aCommercial statistics
650			_aDerivative securities, Prices
650			_aMathematical models
650			_aBlack scholes equation
650			_a Compounded risk free interest
650			_aDerivatives
650			_aExchange options
650			_aForwards prices
650			_aGarman kohlhagen formula
650			_aMarket frictions
650			_aNo arbitrage principle
650			_aPut options
650			_aRisk neutral
650			_aSynthetic forwards
942			_2ddc _cBK