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An Introduction to Quantitative Finance

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Release : 2014
Genre : Business & Economics
Kind : eBook
Book Rating : 598/5 ( reviews)

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Book Synopsis An Introduction to Quantitative Finance by : Stephen Blyth

Download or read book An Introduction to Quantitative Finance written by Stephen Blyth. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt: The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types. This book gives an insight into financial engineering while building on introductory probability courses by detailing one of the most fascinating applications of the subject.

Introduction to Quantitative Finance

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Author :
Release : 2010-01-29
Genre : Mathematics
Kind : eBook
Book Rating : 69X/5 ( reviews)

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Book Synopsis Introduction to Quantitative Finance by : Robert R. Reitano

Download or read book Introduction to Quantitative Finance written by Robert R. Reitano. This book was released on 2010-01-29. 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.

Quantitative Finance

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Author :
Release : 2014-05-08
Genre : Business & Economics
Kind : eBook
Book Rating : 698/5 ( reviews)

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Book Synopsis Quantitative Finance by : Matt Davison

Download or read book Quantitative Finance written by Matt Davison. This book was released on 2014-05-08. 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.

An Introduction To Machine Learning In Quantitative Finance

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Author :
Release : 2021-04-07
Genre : Business & Economics
Kind : eBook
Book Rating : 388/5 ( reviews)

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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. This book was released on 2021-04-07. 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!

Finance

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Author :
Release : 2013-01-17
Genre : Business & Economics
Kind : eBook
Book Rating : 228/5 ( reviews)

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Book Synopsis Finance by : Nico van der Wijst

Download or read book Finance written by Nico van der Wijst. This book was released on 2013-01-17. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to modern finance designed for students with strong quantitative skills.

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