The SARB’s common scenario stress test is conducted every two years and covers banks that are designated as systemically important financial institutions. The tests estimate potential losses and capital shortfalls in the banking sector resulting from severe and plausible scenarios over a period of time (typically three to five years). A risk assessment matrix is used to identify the stress-testing scenarios.
These tests are conducted on bottom-up (BU) and top-down (TD) bases. Participating banks receive the scenarios to conduct BU stress tests based on their internal models, while the SARB simultaneously conducts a TD stress test to validate and benchmark the results from each bank. Both approaches are designed to assess the effect of the scenarios on the solvency position (including, credit risk, market risk and interest rate risk in the banking book) and the liquidity profile of the South African banking sector. For each scenario, new capital and liquidity ratios are calculated and compared to their minimum prudential regulatory requirements. Individual bank results are not published, although sector-wide results are published in the SARB’s Financial Stability Review.
These tests also include sensitivity analyses intended to assess the effects of specific risk factors that might adversely affect the solvency position or liquidity profile of a financial institution. In the 2018 common scenario stress test, the SARB developed two stress scenarios and a baseline scenario, which simulated additional credit, market and liquidity risks for banks. The SARB found that participating banks were adequately capitalised with sufficient liquidity to withstand these scenarios, see Financial Stability Review – Second edition 2018
The SARB is developing a stress-testing framework for the insurance sector. In the short term, the framework envisages an exploratory BU sensitivity analysis stress test, based on a common set of stress parameters. The SARB’s medium- to long-term goal is to supplement this exercise with a TD stress test based on a robust modelling framework. In future, both approaches will include an intertemporal element (analysing relationships over time), based on a combination of macrofinancial scenarios and sensitivity analysis. At this stage, the intention is to conduct the exercise every two years as is done for the banking sector.