Software Packages for Econometrics: Financial Time Series Modeling
In the article the comparative analysis of most common among economists software packages R, EViews and Gretl in financial time series modeling is conducted. Advantages and disadvantages of each software are considered. Volatility is often used as a rough approximation to measuring of financial inst...
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| Published in | Information and Communication Technologies in Education, Research, and Industrial Applications Vol. 826; pp. 188 - 208 |
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| Main Authors | , , |
| Format | Book Chapter |
| Language | English |
| Published |
Switzerland
Springer International Publishing AG
2018
Springer International Publishing |
| Series | Communications in Computer and Information Science |
| Subjects | |
| Online Access | Get full text |
| ISBN | 3319761676 9783319761671 |
| ISSN | 1865-0929 1865-0937 |
| DOI | 10.1007/978-3-319-76168-8_9 |
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| Summary: | In the article the comparative analysis of most common among economists software packages R, EViews and Gretl in financial time series modeling is conducted. Advantages and disadvantages of each software are considered. Volatility is often used as a rough approximation to measuring of financial instruments risk. For the modeling of financial time series volatility Polish stock index WIG was chosen. For describing the volatility of financial time series econometric model of family GARCH is built by means of these packages. |
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| ISBN: | 3319761676 9783319761671 |
| ISSN: | 1865-0929 1865-0937 |
| DOI: | 10.1007/978-3-319-76168-8_9 |