Time Series: Applications to Finance with R and S-Plus

　　Second Edition is designed to present an in-depth introduction to the conceptual underpinnings and modern ideas of time series analysis. Utilizing interesting, real-world applications and the latest software packages, this book successfully helps readers grasp the technical and conceptual manner of the topic in order to gain a deeper understanding of the ever-changing dynamics of the financial world.

Features

　　1. The author is well known for his clear, concise, and authentic presentation.

　　2. Ambiguities from the First Edition have been corrected and smoothed-over where applicable.

　　3. Two new chapters now appear on Bayesian methods and arbitrage statistics.

　　4. Special emphasis is placed on applications from around the world, including, but not limited to, Asia; China; and Europe.

　　5. All examples are systematically illustrated with R and S-Plus? and highlight the relevance of time series in financial applications.

　　6. Challenging end-of-chapter exercises are provided, along with the solutions to most of these exercises at the end of the book.

Ch 1 Introduction
Ch 2 Probability Models
Ch 3 Autoregressive Moving Average Models
Ch 4 Estimation in the Time Domain
Ch 5 Examples in SPLUS and R
Ch 6 Forecasting
Ch 7 Spectral Analysis
Ch 8 Nonstationarity
Ch 9 Heteroskedasticity
Ch10 Multivariate Time Series
Ch11 State Space Models
Ch12 Multivariate GARCH
Ch13 Cointegrations and Common Trends
Ch14 Markov Chain Monte Carlo Methods
Ch15 Statistical Arbitrage
Ch16 Answers to Selected Exercises