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Analysis of financial time series /

This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods describ...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Tsay, Ruey S., 1951-
Format: Electronic eBook
Language:Inglés
Published: Hoboken, N.J. : Wiley, ©2010.
Edition:3rd ed.
Series:Wiley series in probability and statistics.
Subjects:
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Financial time series and their characteristics
  • Linear time series analysis and its applications
  • Conditional heteroscedastic models
  • Nonlinear models and their applications
  • High-frequency data analysis and market microstructure
  • Continuous-time models and their applications
  • Extreme values, quantiles, and value at risk
  • Multivariate time series analysis and its applications
  • Principal component analysis and factor models
  • Multivariate volatility models and their applications
  • State-space models and Kalman filter
  • Markov chain Monte Carlo methods with applications.