- Facilitates readers' understanding of underlying mathematical and theoretical models by presenting a mixture of theory and applications with hands-on learning
- Presented intuitively, breaking up complex mathematics concepts into easily understood notions
- Encourages use of discrete chapters as complementary readings on different topics, offering flexibility in learning and teaching
Bli först att betygsätta och recensera boken .
- Inbunden (hardback)
- Språk: Engelska
- Antal sidor: 480
- Utg.datum: 2013-12-16
- Upplaga: 3
- Förlag: Academic Press
- Medarbetare: N.Neftci, Salih
- Illustrationer: black & white line drawings, black & white tables, figures
- Dimensioner: 241 x 196 x 31 mm
- Vikt: 975 g
- Antal komponenter: 1
- ISBN: 9780123846822
Fler böcker av Ali Hirsa
Computational Methods in Finance
As today's financial products have become more complex, quantitative analysts, financial engineers, and others in the financial industry now require robust techniques for numerical analysis. Covering advanced quantitative techniques, Computational...
Introduction to the Mathematics of Financial Derivatives
Ali Hirsa, Salih N Neftci
An Introduction to the Mathematics of Financial Derivatives is a popular, intuitive text that eases the transition between basic summaries of financial engineering to more advanced treatments using stochastic calculus. Requiring only a basic knowl...
Recensioner i media
"This text introduces quantitative tools used in pricing financial derivatives to those with basic knowledge of calculus and probability. It reviews basic derivative instruments, the arbitrage theorem, and deterministic calculus, and describes models and notation in pricing derivatives, tools in probability theory, martingales and martingale representations, differentiation in stochastic environments, the Wiener and Lvy processes and rare events in financial markets."--ProtoView.com, February 2014 "Ali Hirsa has done a superb job with this third edition of the very popular Neftci's An Introduction to the Mathematics of Financial Derivatives. New chapters and sections have been added covering in particular credit derivatives (Chapter 23) and jump processes and the associated partial integro-differential equations. The new material on numerical methods, in particular on Fourier techniques (Chapter 22) and calibration (Chapter 25), and added examples and exercises are very welcome. Overall, this new edition offers substantially more that the previous one in all of its chapters. This is a unique sophisticated introduction to financial mathematics accessible to a wide audience. Truly remarkable!"--Jean-Pierre Fouque, University of California, Santa Barbara "The publication of this expansive and erudite text in a new edition by one of the most highly respected scholars in the field should be a welcome event for practitioners and academics alike."--Lars Tyge Nielsen,Columbia University "There are many books on mathematics, probability, and stochastic calculus, but relatively few focus entirely on the pricing and hedging of financial derivatives. I have used the second edition for finance and financial engineering classes for years, and will continue with the third edition; the book will no doubt remain a valuable reference for industry practitioners as well."--RobertL. Kimmel,National University of Singapore "An excellent introduction to a wide range of topics in pricing financial derivatives with highly accessible mathematical treatment. Its heuristic style in explaining basic mathematical concepts relevant to financial markets greatly facilitates understanding the fundamentals of derivative pricing."--Seppo Pynnonen, Unversity of Vaasa "What makes this introductory text unique for students or practitioners without a major in mathematics or physics is that it provides the most helpful heuristics while clearly stating how or why the concepts are useful for practical problems in finance. The timely additions on credit derivatives and PDEs provide considerable value-added in comparison to the second edition."--Mishael Milakovic, University of Bamberg
Ali Hirsa is managing partner at Sauma Capital, LLC. Previously he was partner and head of analytical trading strategy at Caspian Capital Management, LLC. Prior to joining Caspian, Ali worked as a quant at Morgan Stanley, Banc of America Securities, and Prudential Securities. He is also an adjunct associate professor of financial engineering at Columbia University since 2000 and Courant Institute of New York University in the mathematics of finance program since 2004.
Ali is the author of Computational Methods in Finance, Chapman & Hall/CRC 2012 and the co-author of An Introduction to Mathematics of Financial Derivatives, Academic Press 2013 and is the editor of Journal of Investment Strategies. He has several publications and is a frequent speaker at academic and practitioner conferences.
Ali received his Ph.D. in applied mathematics from University of Maryland at College Park under the supervision of Professors Howard C. Elman and Dilip B. Madan. He currently serves as a trustee at University of Maryland College Park Foundation. Professor Neftci completed his Ph.D. at the University of Minnesota and was head of the FAME Certificate program in Switzerland. He taught at the Graduate School, City University of New York; ICMA Centre, University of Reading; and at the University of Lausanne. He was also a Visiting Professor in the Finance Department at Hong Kong University of Science and Technology. Known his books and articles, he was a regular columnist for CBN daily, the most influential financial newspaper in China.
1: Financial Derivatives: A Brief Introduction 2: A Primer on Arbitrage Theorem 3: Review of Deterministic Calculus 4: Pricing Derivatives: Models and Notations 5: Tools in Probability Theory 6: Martingales and Martingale Representations 7: Wiener Process, Levy Processes, and Rare Events 8: Differentiation in Stochastic Environments 9: Integration in Stochastic Environments 10: Ito's Lemma 11: The dynamics of Derivatives Prices: Stochastic Differential 12: Pricing Derivatives Products via Partial Differential Equations 13: Equivalent Martingale Measures 14: Equivalent Martingale Measures: Applications 15: Arbitrage Theorem in a New Setting 16: Term Structure Modeling and Related Concepts 17: Approaches to Modeling Term Structure 18: Conditional Expectations and PDEs 19: Derivative Pricing via Transform Techniques 20: Credit Spread and Credit Derivatives 21: Stopping Times and American-Style Derivatives 22: A Primer on Calibration and Estimation Techniques