Time series : applications to finance with R and S-Plus /
"This book is designed to help readers grasp the conceptual underpinnings of time series modeling in order to gain a deeper understanding of the ever-changing dynamics of the financial world. It covers theory and application equally for readers from both financial and mathematical backgrounds....
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Hoboken, N.J. :
Wiley,
©2010.
|
Edición: | 2nd ed. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Matter
- Introduction
- Probability Models
- Autoregressive Moving Average Models
- Estimation in the Time Domain
- Examples in Splus and R
- Forecasting
- Spectral Analysis
- Nonstationarity
- Heteroskedasticity
- Multivariate Time Series
- State Space Models
- Multivariate GARCH
- Cointegrations and Common Trends
- Markov Chain Monte Carlo Methods
- Statistical Arbitrage
- Answers to Selected Exercises
- References
- Subject Index
- Author Index
- Wiley Series in Probability and Statistics.