Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
The risk management functions of most financial institutions occupy themselves with the estimation of the value at risk (VaR) of their portfolios as a measure of market risk. Various methods are available to calculate the VaR measure, and this can be done at various degrees of confidence. This study...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Finance and Tax
2021
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613203573243904 |
|---|---|
| access_status_str | Open Access |
| author | Gross, Eden |
| author2 | Kruger, Ryan |
| author_browse | Gross, Eden Kruger, Ryan |
| author_facet | Kruger, Ryan Gross, Eden |
| author_sort | Gross, Eden |
| collection | Thesis |
| description | The risk management functions of most financial institutions occupy themselves with the estimation of the value at risk (VaR) of their portfolios as a measure of market risk. Various methods are available to calculate the VaR measure, and this can be done at various degrees of confidence. This study evaluates and analyses the performance of five popular VaR forecasting methods in the South African context, using the closing values of three of the major indices available on the Johannesburg Stock Exchange (JSE), namely the All Share Index (ALSI), the Financials-Industrials Index (FINDI), and the Resources Index (RESI). These three indices are considered based on the findings of prior studies that indicate that not only does decomposing the ALSI into its constituent (the FINDI and the RESI) indices provide a better measurement of market risk on the JSE, but these sub-indices also have different systematic risk exposures which may necessitate different treatments in measuring their risks appropriately. The periods examined surrounded the 2008 global financial crisis in order to allow an evaluation of the impact of varying levels of volatility on the analysis. Overall, the study concludes that the performance of the VaR models examined is similar when assessing the risk of the ALSI and the RESI returns, while they are very different for the FINDI. This conclusion provides crucial insight into the risk management and investment decisions concerning portfolios which are more heavily invested in the FINDI as opposed to the other two, as this study suggests that a blanket treatment to the South African market is incorrect. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/32693 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:24.523Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Department of Finance and Tax |
| publisherStr | Department of Finance and Tax |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/32693 Risk Management in South Africa Before, During, and After the 2008 Global Financial Crisis: An Application to Different Sectors Gross, Eden Kruger, Ryan Investment Management The risk management functions of most financial institutions occupy themselves with the estimation of the value at risk (VaR) of their portfolios as a measure of market risk. Various methods are available to calculate the VaR measure, and this can be done at various degrees of confidence. This study evaluates and analyses the performance of five popular VaR forecasting methods in the South African context, using the closing values of three of the major indices available on the Johannesburg Stock Exchange (JSE), namely the All Share Index (ALSI), the Financials-Industrials Index (FINDI), and the Resources Index (RESI). These three indices are considered based on the findings of prior studies that indicate that not only does decomposing the ALSI into its constituent (the FINDI and the RESI) indices provide a better measurement of market risk on the JSE, but these sub-indices also have different systematic risk exposures which may necessitate different treatments in measuring their risks appropriately. The periods examined surrounded the 2008 global financial crisis in order to allow an evaluation of the impact of varying levels of volatility on the analysis. Overall, the study concludes that the performance of the VaR models examined is similar when assessing the risk of the ALSI and the RESI returns, while they are very different for the FINDI. This conclusion provides crucial insight into the risk management and investment decisions concerning portfolios which are more heavily invested in the FINDI as opposed to the other two, as this study suggests that a blanket treatment to the South African market is incorrect. 2021-01-27T06:03:04Z 2021-01-27T06:03:04Z 2020 2021-01-26T18:26:22Z Master Thesis Masters MCom http://hdl.handle.net/11427/32693 eng application/pdf Department of Finance and Tax Faculty of Commerce |
| spellingShingle | Investment Management Gross, Eden Risk Management in South Africa Before, During, and After the 2008 Global Financial Crisis: An Application to Different Sectors |
| thesis_degree_str | Master's |
| title | Risk Management in South Africa Before, During, and After the 2008 Global Financial Crisis: An Application to Different Sectors |
| title_full | Risk Management in South Africa Before, During, and After the 2008 Global Financial Crisis: An Application to Different Sectors |
| title_fullStr | Risk Management in South Africa Before, During, and After the 2008 Global Financial Crisis: An Application to Different Sectors |
| title_full_unstemmed | Risk Management in South Africa Before, During, and After the 2008 Global Financial Crisis: An Application to Different Sectors |
| title_short | Risk Management in South Africa Before, During, and After the 2008 Global Financial Crisis: An Application to Different Sectors |
| title_sort | risk management in south africa before during and after the 2008 global financial crisis an application to different sectors |
| topic | Investment Management |
| url | http://hdl.handle.net/11427/32693 |
| work_keys_str_mv | AT grosseden riskmanagementinsouthafricabeforeduringandafterthe2008globalfinancialcrisisanapplicationtodifferentsectors |