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Introduction to R for Quantitative Finance by Daniel Havran, Márton Michaletzky, Agnes Vidovics-Dancs, Gergely Daróczi and Edina Berlinger (2013, Trade Paperback)

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About this product

Product Identifiers

PublisherPackt Publishing, The Limited

ISBN-10178328093X

ISBN-139781783280933

eBay Product ID (ePID)10038491194

Product Key Features

Number of Pages164 Pages

LanguageEnglish

Publication NameIntroduction to R for Quantitative Finance

SubjectOperating Systems / General, Mathematical & Statistical Software, Finance / Financial Engineering, Finance / General, Desktop Applications / Personal Finance Applications

Publication Year2013

FeaturesNew Edition

TypeTextbook

AuthorDaniel Havran, Márton Michaletzky, Agnes Vidovics-Dancs, Gergely Daróczi, Edina Berlinger

Subject AreaComputers, Business & Economics

FormatTrade Paperback

Dimensions

Item Height0.3 in

Item Weight10.4 Oz

Item Length9.2 in

Item Width7.5 in

Additional Product Features

Edition DescriptionNew Edition

SynopsisThis book is a tutorial guide for new users that aims to help you understand the basics of and become accomplished with the use of R for quantitative finance.If you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful content for both the R beginner and more experience users., Introduction to R for Quantitative Finance will show you how to solve real-world quantitative fi nance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to fi nancial networks. Each chapter briefl y presents the theory behind specific concepts and deals with solving a diverse range of problems using R with the help of practical examples.This book will be your guide on how to use and master R in order to solve quantitative finance problems. This book covers the essentials of quantitative finance, taking you through a number of clear and practical examples in R that will not only help you to understand the theory, but how to effectively deal with your own real-life problems.Starting with time series analysis, you will also learn how to optimize portfolios and how asset pricing models work. The book then covers fixed income securities and derivatives such as credit risk management.