This is the repository for R code associated with the paper "Garch Tutorial in R", submitted to RAC in march 2020. The full paper is available at RAC.
| Filename | Description |
|---|---|
| 00-Prepare_computer.R | Setup computer by installing all required R packages. This is a mandatory step. |
| 01-Get_Index_Data.R | Using the internet, imports a dataset of prices of the Ibovespa index. |
| 02-Do_Descriptive_Figures.R | Creates and saves all descriptive figures presented in the paper. |
| 03-Do_ARCH_Test.R | Performs the arch test in the data. |
| 04-Estimate_Garch_Model.R | Estimate an introductory Garch model and present results. |
| 05-Find_Best_Garch_Model.R | Finds the best Garch/eGarch/gjcGarch model for the dataset. |
| 06-Simulate_Garch_Model.R | Simulates the previous GARCH model and plots paths and probabilities. |
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Install latest version of R (link )
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Install latest version of RStudio (link)
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Download zip file from this repository.
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Unzip the content of zip file in a personal folder
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Run first script 00-Prepare_Computer.R to install all dependencies of the code. For that, in RStudio, open R script file and press control + shift + enter
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Execute other scripts in root folder in order to reproduce all results from the paper
If these steps don't work for you, please let us know by reporting OS (windows/linux/mac), R version and error code (if any).
If you've found an issue within the code, please use Git issue system. That way everyone will be able to see the history of issues and corrections.