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Introductory Mathematical Analysis For Quantitative Finance
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Book Synopsis Introductory Mathematical Analysis for Quantitative Finance by : Daniele Ritelli
Download or read book Introductory Mathematical Analysis for Quantitative Finance written by Daniele Ritelli and published by CRC Press. This book was released on 2020-04-13 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory Mathematical Analysis for Quantitative Finance is a textbook designed to enable students with little knowledge of mathematical analysis to fully engage with modern quantitative finance. A basic understanding of dimensional Calculus and Linear Algebra is assumed. The exposition of the topics is as concise as possible, since the chapters are intended to represent a preliminary contact with the mathematical concepts used in Quantitative Finance. The aim is that this book can be used as a basis for an intensive one-semester course. Features: Written with applications in mind, and maintaining mathematical rigor. Suitable for undergraduate or master's level students with an Economics or Management background. Complemented with various solved examples and exercises, to support the understanding of the subject.
Author :Christopher Hian Ann Ting Publisher :World Scientific Publishing Company ISBN 13 :9814704326 Total Pages :272 pages Book Rating :4.8/5 (147 download)
Book Synopsis An Introduction to Quantitative Finance by : Christopher Hian Ann Ting
Download or read book An Introduction to Quantitative Finance written by Christopher Hian Ann Ting and published by World Scientific Publishing Company. This book was released on 2015-09-16 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise textbook provides a unique framework to introduce Quantitative Finance to advanced undergraduate and beginning postgraduate students. Inspired by Newton's three laws of motion, three principles of Quantitative Finance are proposed to help practitioners also to understand the pricing of plain vanilla derivatives and fixed income securities. The book provides a refreshing perspective on Box's thesis that "all models are wrong, but some are useful." Being practice- and market-oriented, the author focuses on financial derivatives that matter most to practitioners. The three principles of Quantitative Finance serve as buoys for navigating the treacherous waters of hypotheses, models, and gaps between theory and practice. The author shows that a risk-based parsimonious model for modeling the shape of the yield curve, the arbitrage-free properties of options, the Black-Scholes and binomial pricing models, even the capital asset pricing model and the Modigliani-Miller propositions can be obtained systematically by applying the normative principles of Quantitative Finance.
Book Synopsis Quantitative Finance by : T. Wake Epps
Download or read book Quantitative Finance written by T. Wake Epps and published by John Wiley & Sons. This book was released on 2009-03-23 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous, yet accessible, introduction to essential topics in mathematical finance Presented as a course on the topic, Quantitative Finance traces the evolution of financial theory and provides an overview of core topics associated with financial investments. With its thorough explanations and use of real-world examples, this book carefully outlines instructions and techniques for working with essential topics found within quantitative finance including portfolio theory, pricing of derivatives, decision theory, and the empirical behavior of prices. The author begins with introductory chapters on mathematical analysis and probability theory, which provide the needed tools for modeling portfolio choice and pricing in discrete time. Next, a review of the basic arithmetic of compounding as well as the relationships that exist among bond prices and spot and forward interest rates is presented.? Additional topics covered include: Dividend discount models Markowitz mean-variance theory The Capital Asset Pricing Model Static?portfolio theory based on the expected-utility paradigm Familiar probability models for marginal distributions of returns and the dynamic behavior of security prices The final chapters of the book delve into the paradigms of pricing and present the application of martingale pricing in advanced models of price dynamics. Also included is a step-by-step discussion on the use of Fourier methods to solve for arbitrage-free prices when underlying price dynamics are modeled in realistic, but complex ways. Throughout the book, the author presents insight on current approaches along with comments on the unique difficulties that exist in the study of financial markets. These reflections illustrate the evolving nature of the financial field and help readers develop analytical techniques and tools to apply in their everyday work. Exercises at the end of most chapters progress in difficulty, and selected worked-out solutions are available in the appendix. In addition, numerous empirical projects utilize MATLAB® and Minitab® to demonstrate the mathematical tools of finance for modeling the behavior of prices and markets. Data sets that accompany these projects can be found via the book's FTP site. Quantitative Finance is an excellent book for courses in quantitative finance or financial engineering at the upper-undergraduate and graduate levels. It is also a valuable resource for practitioners in related fields including engineering, finance, and economics.
Book Synopsis Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences by : Ernest F. Haeussler
Download or read book Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences written by Ernest F. Haeussler and published by . This book was released on 2002 with total page 1106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory text begins with precalculus and finite maths topics such as equations, functions, matrix algebra, linear programming, mathematics of finance, and probability, and then progresses through single and multivariable calculus.
Book Synopsis Mathematics for Finance by : Marek Capinski
Download or read book Mathematics for Finance written by Marek Capinski and published by Springer. This book was released on 2006-04-18 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook contains the fundamentals for an undergraduate course in mathematical finance aimed primarily at students of mathematics. Assuming only a basic knowledge of probability and calculus, the material is presented in a mathematically rigorous and complete way. The book covers the time value of money, including the time structure of interest rates, bonds and stock valuation; derivative securities (futures, options), modelling in discrete time, pricing and hedging, and many other core topics. With numerous examples, problems and exercises, this book is ideally suited for independent study.
Book Synopsis Introductory Mathematical Analysis for Students of Business and Economics by : Ernest F. Haeussler
Download or read book Introductory Mathematical Analysis for Students of Business and Economics written by Ernest F. Haeussler and published by . This book was released on 1983-01-01 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences, Global Edition by : Ernest F Haeussler
Download or read book Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences, Global Edition written by Ernest F Haeussler and published by Pearson Higher Ed. This book was released on 2021-08-10 with total page 853 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thisbook is ideal for one- or two-semester or two- or three-quarter coursescovering topics in college algebra, finite mathematics, and calculus forstudents in business, economics, and the life and social sciences. Introductory Mathematical Analysis forBusiness, Economics, and the Life and Social Sciences provides a mathematical foundation for students in avariety of fields and majors. The authors establish an emphasis on algebraiccalculations that sets this text apart from other introductory, appliedmathematics books. Because the process of calculating variables builds skillsin mathematical modeling, this emphasis paves the way for students to solvereal-world problems that use calculus. The book’s comprehensive structure—covering college algebra in Chapters0 through 4, finite mathematics in Chapters 5 through 9, and calculus inChapters 10 through 17—offers instructors flexibility in how they use thematerial based on the course they’re teaching, the semester they’re at, or whatthe students’ background allows and their needs dictate.
Book Synopsis Quantitative Finance by : Matt Davison
Download or read book Quantitative Finance written by Matt Davison and published by CRC Press. This book was released on 2014-05-08 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teach Your Students How to Become Successful Working Quants Quantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not only enables students to practice with the basic techniques of financial mathematics, but it also helps them gain significant intuition about what the techniques mean, how they work, and what happens when they stop working. After introducing risk, return, decision making under uncertainty, and traditional discounted cash flow project analysis, the book covers mortgages, bonds, and annuities using a blend of Excel simulation and difference equation or algebraic formalism. It then looks at how interest rate markets work and how to model bond prices before addressing mean variance portfolio optimization, the capital asset pricing model, options, and value at risk (VaR). The author next focuses on binomial model tools for pricing options and the analysis of discrete random walks. He also introduces stochastic calculus in a nonrigorous way and explains how to simulate geometric Brownian motion. The text proceeds to thoroughly discuss options pricing, mostly in continuous time. It concludes with chapters on stochastic models of the yield curve and incomplete markets using simple discrete models. Accessible to students with a relatively modest level of mathematical background, this book will guide your students in becoming successful quants. It uses both hand calculations and Excel spreadsheets to analyze plenty of examples from simple bond portfolios. The spreadsheets are available on the book’s CRC Press web page.
Book Synopsis Introductory Mathematical Analysis for Quantitative Finance by : Daniele Ritelli
Download or read book Introductory Mathematical Analysis for Quantitative Finance written by Daniele Ritelli and published by CRC Press. This book was released on 2020-04-13 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory Mathematical Analysis for Quantitative Finance is a textbook designed to enable students with little knowledge of mathematical analysis to fully engage with modern quantitative finance. A basic understanding of dimensional Calculus and Linear Algebra is assumed. The exposition of the topics is as concise as possible, since the chapters are intended to represent a preliminary contact with the mathematical concepts used in Quantitative Finance. The aim is that this book can be used as a basis for an intensive one-semester course. Features: Written with applications in mind, and maintaining mathematical rigor. Suitable for undergraduate or master's level students with an Economics or Management background. Complemented with various solved examples and exercises, to support the understanding of the subject.
Book Synopsis Introduction to Quantitative Finance by : Robert R. Reitano
Download or read book Introduction to Quantitative Finance written by Robert R. Reitano and published by MIT Press. This book was released on 2010-01-29 with total page 747 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to many mathematical topics applicable to quantitative finance that teaches how to “think in mathematics” rather than simply do mathematics by rote. 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 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.
Book Synopsis Introductory Mathematical Analysis for Business, Economics and Life and Social Sciences (Arab World Editions) by : Ernest F. Haeussler (Jr.)
Download or read book Introductory Mathematical Analysis for Business, Economics and Life and Social Sciences (Arab World Editions) written by Ernest F. Haeussler (Jr.) and published by . This book was released on 2012-08-09 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences, Global Edition by : Ernest Haeussler
Download or read book Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences, Global Edition written by Ernest Haeussler and published by Pearson. This book was released on 2021-07-26 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thistitle is a Pearson Global Edition. The Editorial team at Pearson has workedclosely with educators around the world to include content which is especiallyrelevant to students outside the United States. This book is ideal for one- ortwo-semester or two- or three-quarter courses covering topics in collegealgebra, finite mathematics, and calculus for students in business, economics,and the life and social sciences. Introductory Mathematical Analysis for Business, Economics, and the Life andSocial Sciences provides a mathematical foundation for students in avariety of fields and majors. Haeussler, Paul, and Wood establish an emphasison algebraic calculations that sets this text apart from other introductory,applied mathematics books. Because the process of calculating variables buildsskills in mathematical modeling, this emphasis paves the way for students tosolve real-world problems that use calculus. Thebook's comprehensive structure--covering college algebra in Chapters 0 through4, finite mathematics in Chapters 5 through 9, and calculus in Chapters 10through 17--offers instructors flexibility in how they use the material based onthe course they're teaching, the semester they're at, or what the students'background allows and their needs dictate. MyLab®Math is not included. Students, if MyLab Math is a recommended/mandatory component of the course,please ask your instructor for the correct ISBN. MyLab Math should only bepurchased when required by an instructor. Instructors, contact your Pearsonrepresentative for more information.
Book Synopsis Student's Solutions Manual for Introductory Mathematical Analysis for Business, Economics and the Life and Social Sciences by : Ernest F. Haeussler, Jr.
Download or read book Student's Solutions Manual for Introductory Mathematical Analysis for Business, Economics and the Life and Social Sciences written by Ernest F. Haeussler, Jr. and published by Prentice Hall. This book was released on 2007-05 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Worked out solutions for every odd-numbered exercise and all Applications in Practice problems.
Book Synopsis Introductory mathematical analysis for business, economics, and the life and social sciences by : Ernest F. Haeussler
Download or read book Introductory mathematical analysis for business, economics, and the life and social sciences written by Ernest F. Haeussler and published by . This book was released on 1999 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Introduction To Machine Learning In Quantitative Finance by : Hao Ni
Download or read book An Introduction To Machine Learning In Quantitative Finance written by Hao Ni and published by World Scientific. This book was released on 2021-04-07 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative Finance aims to demystify ML by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authorsFeatured with the balance of mathematical theorems and practical code examples of ML, this book will help you acquire an in-depth understanding of ML algorithms as well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you anymore, and you will feel confident in successfully applying what you have learnt to empirical financial data!
Book Synopsis An Introduction to Computational Finance by : mr U?ur
Download or read book An Introduction to Computational Finance written by mr U?ur and published by Imperial College Press. This book was released on 2009 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are several publications on similar subjects, this book mainly focuses on pricing of options and bridges the gap between Mathematical Finance and Numerical Methodologies. The author collects the key contributions of several monographs and selected literature, values and displays their importance, and composes them here to create a work which has its own characteristics in content and style.This invaluable book provides working Matlab codes not only to implement the algorithms presented in the text, but also to help readers code their own pricing algorithms in their preferred programming languages. Availability of the codes under an Internet site is also offered by the author.Not only does this book serve as a textbook in related undergraduate or graduate courses, but it can also be used by those who wish to implement or learn pricing algorithms by themselves. The basic methods of option pricing are presented in a self-contained and unified manner, and will hopefully help readers improve their mathematical and computational backgrounds for more advanced topics.Errata(s)Errata
Book Synopsis Stochastic Calculus for Finance I by : Steven Shreve
Download or read book Stochastic Calculus for Finance I written by Steven Shreve and published by Springer Science & Business Media. This book was released on 2005-06-28 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed for the professional Master's program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several years Exercises conclude every chapter; some of these extend the theory while others are drawn from practical problems in quantitative finance
