Statistical Analysis of Financial Data in R

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This book fills this gap by addressing some of the most challenging issues facing any financial engineer. It shows how sophisticated mathematics and...

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Bibliographic Details
Main Author: Carmona, René (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2014.
Edition:2nd ed. 2014.
Series:Springer Texts in Statistics,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Univariate Data Distributions
  • Heavy Tail Distributions
  • Dependence and Multivariate Data Exploration
  • Parametric Regression
  • Local and Nonparametric Regression
  • Time Series Models
  • Multivariate Time Series, Linear Systems and Kalman Filtering
  • Nonlinear Time Series: Models and Simulation
  • Appendices
  • Indices.