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The Growth-at-Risk (GaR) Framework: Implication For Ukraine

Author

Listed:
  • Anastasiya Ivanova

    (National Bank of Ukraine)

  • Alona Shmygel

    (National Bank of Ukraine)

  • Ihor Lubchuk

    (National Bank of Ukraine)

Abstract

Using data for the Ukrainian economy, we applied and adapted the growth-at-risk (GaR) framework to examine the association between financial conditions, credit and sectors' activity, and external conditions and the probability distribution of GDP growth in Ukraine. We applied CSA and PCA approaches to construct indices of these partitions. We further derived GDP growth distributions and explored their behavior under different scenarios. Results from the model with PCA indices suggest that the relationships between financial conditions as well as external conditions indices and economic activity are inverse regardless of quantile of GDP distribution. Moreover, we found that the financial conditions index has the largest effect on the GDP growth on the lower quantiles, which could generate significant downside risk to the economy.

Suggested Citation

  • Anastasiya Ivanova & Alona Shmygel & Ihor Lubchuk, 2021. "The Growth-at-Risk (GaR) Framework: Implication For Ukraine," IHEID Working Papers 10-2021, Economics Section, The Graduate Institute of International Studies.
    • Handle: RePEc:gii:giihei:heidwp10-2021
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    References listed on IDEAS

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    Cited by:

    1. Xu, Qifa & Xu, Mengnan & Jiang, Cuixia & Fu, Weizhong, 2023. "Mixed-frequency Growth-at-Risk with the MIDAS-QR method: Evidence from China," Economic Systems, Elsevier, vol. 47(4).

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    More about this item

    Keywords

    Quantile regression; economic growth; GDP; principal component analysis; GDP growth distribution;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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