Introduction to R for quantitative finance / Gergely Daróczi [and eight others].

Format:

Book

Author/Creator:

Daróczi, Gergely.

Series:

Community experience distilled

Language:

English

Subjects (All):

Economics--Mathematical models.

Economics.

Finance--Statistical methods.

Finance.

R (Computer program language).

Physical Description:

1 online resource (164 p.)

Edition:

1st edition

Place of Publication:

Birmingham : Packt Publishing, 2013.

Language Note:

English

System Details:

text file

Summary:

This 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.

Contents:

""Cover""; ""Copyright""; ""Credits""; ""About the Authors""; ""About the Reviewers""; ""www.PacktPub.com""; ""Table of Contents""; ""Preface""; ""Chapter 1: Time Series Analysis""; ""Working with time series data""; ""Linear time series modeling and forecasting""; ""Modeling and forecasting UK house prices""; ""Model identification and estimation""; ""Model diagnostic checking""; ""Forecasting""; ""Cointegration""; ""Cross hedging jet fuel""; ""Modeling volatility""; ""Volatility forecasting for risk management""; ""Testing for ARCH effects""; ""GARCH model specification""

""GARCH model estimation""""Backtesting the risk model""; ""Forecasting""; ""Summary""; ""Chapter 2: Portfolio Optimization""; ""Mean-Variance model""; ""Solution concepts""; ""Theorem (Lagrange)""; ""Working with real data""; ""Tangency portfolio and Capital Market Line""; ""Noise in the covariance matrix""; ""When variance is not enough""; ""Summary""; ""Chapter 3: Asset Pricing Models""; ""Capital Asset Pricing Model""; ""Arbitrage Pricing Theory""; ""Beta estimation""; ""Data selection""; ""Simple beta estimation""; ""Beta estimation from linear regression""; ""Model testing""

""Data collection""""Modeling the SCL""; ""Testing the explanatory power of the individual variance""; ""Summary""; ""Chapter 4: Fixed Income Securities""; ""Measuring market risk of fixed income securities""; ""Example � implementation in R""; ""Immunization of fixed income portfolios""; ""Net worth immunization""; ""Target date immunization""; ""Dedication""; ""Pricing a convertible bond""; ""Summary""; ""Chapter 5: Estimating the Term Structure of Interest Rates""; ""The term structure of interest rates and related functions""; ""The estimation problem""

""Estimation of the term structure by linear regression""""Cubic spline regression""; ""Applied R functions""; ""Summary""; ""Chapter 6: Derivatives Pricing""; ""The Black-Scholes model""; ""The Cox-Ross-Rubinstein model""; ""Connection between the two models""; ""Greeks""; ""Implied volatility""; ""Summary""; ""Chapter 7: Credit Risk Management""; ""Credit default models""; ""Structural models""; ""Intensity models""; ""Correlated defaults the portfolio approach""; ""Migration matrices""; ""Getting started with credit scoring in R""; ""Summary""; ""Chapter 8: Extreme Value Theory""

""Theoretical overview""""Application modeling insurance claims""; ""Exploratory data analysis""; ""Tail behavior of claims""; ""Determining the threshold""; ""Fitting a GPD distribution to the tails""; ""Quantile estimation using the fitted GPD model""; ""Calculation of expected loss using the fitted GPD model""; ""Summary""; ""Chapter 9: Financial Networks""; ""Representation, simulation, and visualization of financial networks""; ""Analysis of networks structure and detection of topology changes""; ""Contribution to systemic risk � identification of SIFIs""; ""Summary""

""Appendix: References""

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed December 20, 2013).

ISBN:

9781783280940

1783280948

OCLC:

864382936