Introduction to quantitative finance : a math tool kit
By: Reitano, Robert R
Material type: BookPublisher: Cambridge, Mass. : The MIT Press, c2010.Description: xxxiv, 709 p. : ill. ; 24 cm.ISBN: 9780262013697; 026201369XSubject(s): Finance -- Mathematical modelsDDC classification: 332.015195 RE IN Online resources: Location MapItem type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 332.015195 RE IN (Browse shelf) | Available | April2019 | T0062182 |
, Shelving location: Main Collection Close shelf browser
332.015195 HI GH High frequency financial econometrics : | 332.015195 KO AN Analysis of financial data / | 332.015195 MI EC The econometric modelling of financial time series / | 332.015195 RE IN Introduction to quantitative finance : | 332.015195 SC CO A course on statistics for finance / | 332.015195 WA FI Financial econometrics : | 332.0151955 CH TI Time series : |
Includes bibliographical references and index.
Mathematical logic -- Number systems and functions -- Euclidean and other spaces -- Set theory and topology -- Sequences and their convergence -- Series and their convergence -- Discrete probability theory -- Fundamental probability theorems -- Calculus I: differentiation -- Calculus II: integration.
"This text offers an accessible yet rigorous development of many of the fields of mathematics necessary for success in investment and quantitative finance, covering topics applicable to portfolio theory, investment banking, option pricing, investment, and insurance risk management. The approach emphasizes the mathematical framework provided by each mathematical discipline and the application of each framework to the solution of financial problems. It emphasizes the thought process and mathematical approach taken to develop each result instead of the memorization of formulas to be applied (or misapplied) automatically. The objective is to provide a deep level of understanding of the relevant mathematical theory and tools that can then be effectively used in practice, to teach students how to "think in mathematics" rather than simply to do mathematics by rote." "Each chapter covers an area of mathematics such as mathematical logic, Euclidean and other spaces, set theory and topology, sequences and series, probability theory, and calculus, in each case presenting only material that is most important and relevant for quantitative finance. Each chapter includes finance applications that demonstrate the relevance of the material presented. Problem sets are offered on both the mathematical theory and the finance applications sections of each chapter. The logical organization of the book and the judicious selection of topics make the text customizable for some courses. The development is self-contained and carefully explained to support disciplined, independent study as well. A solutions manual for students provides solutions to the book's Practice Exercises; an instructor's manual offers solutions to the Assignment Exercises as well as other materials."--BOOK JACKET.