The Resource Introduction to R for Quantitative Finance, Vidovics-Dancs, Agnes

Introduction to R for Quantitative Finance, Vidovics-Dancs, Agnes

Label
Introduction to R for Quantitative Finance
Title
Introduction to R for Quantitative Finance
Statement of responsibility
Vidovics-Dancs, Agnes
Creator
Contributor
Author
Subject
Genre
Language
  • eng
  • eng
Summary
R is a statistical computing language that's ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike. Use time series analysis to model and forecast house prices Estimate the term structure of interest rates using prices of government bonds Detect systemically important financial institutions by employing financial network analysis In Detail Quantitative finance is an increasingly important area for businesses, and skilled professionals are highly sought after. The statistical computing language R is becoming established in universities and in industry as the lingua franca of data analysis and statistical computing. Introduction to R for Quantitative Finance will show you how to solve real-world quantitative finance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to financial networks. Each chapter briefly 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 real-world 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 like credit risk management. The last chapters of this book will also provide you with an overview of exciting topics like extreme values and network analysis in quantitative finance
http://library.link/vocab/creatorName
Vidovics-Dancs, Agnes
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Havran, Daniel
  • Berlinger, Edina
  • Daróczi, Gergely
  • Michaletzky, Márton
  • Puhle, Michael
  • Csóka, Péter
  • Váradi, Kata
  • Tulassay, Zsolt
  • O'Reilly Media Company
Label
Introduction to R for Quantitative Finance, Vidovics-Dancs, Agnes
Link
https://databases.mvlc.org/connect/oreilly?ID=9781783280933
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (164 pages)
Form of item
online
Issuing body
Made available through: O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(CaSebORM)9781783280933
System details
Mode of access: World Wide Web
Label
Introduction to R for Quantitative Finance, Vidovics-Dancs, Agnes
Link
https://databases.mvlc.org/connect/oreilly?ID=9781783280933
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
1 online resource (164 pages)
Form of item
online
Issuing body
Made available through: O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
(CaSebORM)9781783280933
System details
Mode of access: World Wide Web

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