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

Anastasiya Ivanova, Alona Shmygel and Ihor Lubchuk
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Anastasiya Ivanova: National Bank of Ukraine
Alona Shmygel: National Bank of Ukraine
Ihor Lubchuk: National Bank of Ukraine

No 10-2021, IHEID Working Papers from Economics Section, The Graduate Institute of International Studies

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.

Keywords: Quantile regression; economic growth; GDP; principal component analysis; GDP growth distribution (search for similar items in EconPapers)
JEL-codes: C31 C53 E17 (search for similar items in EconPapers)
Pages: 31 pages
Date: 2021-07-01
New Economics Papers: this item is included in nep-cis, nep-fdg, nep-mac, nep-rmg and nep-tra
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Citations: View citations in EconPapers (1)

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