Saturday, 11 July 2009

Introduction to Quantitative Finance

Introduction to Quantitative Finance



Author: Robert R. Reitano
Edition:
Publisher: The MIT Press
Binding: Hardcover
ISBN: 026201369X
Price:
You Save: 26%




Introduction to Quantitative Finance: A Math Tool Kit



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.Introduction to Quantitative Finance review. The approach emphasizes the mathematical framework provided by each mathematical discipline, and the application of each framework to the solution of finance 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 financeRead full reviews of Introduction to Quantitative Finance: A Math Tool Kit.

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Introduction to Quantitative Finance: A Math Tool Kit
Introduction to Quantitative Finance: A Math Tool Kit: Robert R. Reitano

Introduction to Quantitative Finance: A Math Tool Kit
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 finance problems. It emphasizes the thought process and mathematical

student solutions manual to accompany introduction  to quantitative finance – a
age level from 18 author robert r reitano format paperback language english publication year 02 03 2010 subject mathematics sciences subject 2 science mathematics textbooks study guides title student solutions manual to accompany introduction to quantitative finance a math toolkit author reitano robert r publisher mit pr publication date mar 31 2010 pages 163 binding paperback edition solutions manual stu dimensions 6 75 wx 9 00 hx 0 50 d isbn 0262514346 subject mathematics advanced descriptio

Introduction To Quantitative Finance, Student Solutions Manual: A Math Tool
Store Search search Title, ISBN and Author Introduction to Quantitative Finance, Student Solutions Manual: A Math Tool Kit by Robert R. Reitano Estimated delivery 3-12 business days Format Paperback Condition Brand New This solutions manual for students provides solutions to the Practice Exercises in Introduction to Quantitative Finance. Author Biography Robert R. Reitano is Professor of the Practice in Finance at Brandeis University s International Business School. He was formerly Executive Vi

Introduction to Quantitative Finance: A Math Tool Kit, 9780262013697
Introduction to Quantitative Finance: A Math Tool Kit, ISBN-13: 9780262013697, ISBN-10: 026201369X



Introduction to Quantitative Finance Reviews


The approach emphasizes the mathematical framework provided by each mathematical discipline, and the application of each framework to the solution of finance 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 a number of 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.



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