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About Lecture Note: Analysis of Financial Time Series
The document discusses seasonal time series analysis and financial time series modeling. It provides examples of seasonal patterns in housing starts, earnings, and other economic data. It also covers multiplicative and airline models for seasonal time series, regression models with time series errors, long memory models, and analyzing the Friday effect using daily asset returns while accounting for serial correlation. Key techniques include differencing to remove seasonal and regular patterns, ARIMA modeling, and checking residuals to validate fitted models.
Detailed Information
| Author: | ['testuser132546'] |
|---|---|
| Publication Year: | 2014 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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