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Financial Stability Surveillance Tools: Evaluating the Performance of Stress Indices

Author

Listed:
  • Kaelo Ntwaepelo

    (Department of Economics, University of Reading)

  • Grivas Chiyaba

    (Department of Economics, University of Reading)

Abstract

In this study, we aim to address the emerging debate about whether financial stress indices (FSIs) constructed using advanced methods such as the dynamic factor model and the principal component analysis method, perform better than those aggregated using simple averages, for the case of South Africa. To do so, we construct three FSIs using: the equal-variance weighting method (EVM), the principal component analysis method (PCA) and the dynamic factor model (FAM). We compare the performance of the indices for the period 2009-2020, using four criteria: quantile regressions, ordered probit model, local projections and the autoregressive integrated moving average (ARIMA) forecasting model. The results suggest that FSIs aggregated using the dynamic factor model and the principal component analysis method have a significant comparative advantage in predicting a financial crisis and capturing the vulnerability of the South African financial system to external monetary policy shocks. This suggests that the aggregation method and weighting system involved in constructing a financial stress index affects its performance in monitoring financial stability.

Suggested Citation

  • Kaelo Ntwaepelo & Grivas Chiyaba, 2022. "Financial Stability Surveillance Tools: Evaluating the Performance of Stress Indices," Economics Discussion Papers em-dp2022-06, Department of Economics, University of Reading.
    • Handle: RePEc:rdg:emxxdp:em-dp2022-06
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    File URL: https://www.reading.ac.uk/web/FILES/economics/emdp202206.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    financial stress index; forecasts; local projections; ordered probit model; quantile regression;
    All these keywords.

    JEL classification:

    • B26 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Financial Economics
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

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