Banks and Bank Systems· 2026Q2
Bank deposits and non-oil economic growth in Azerbaijan: Evidence from linear and nonlinear Granger causality
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- Q2SCImago
- 2026year
Short summary
Non-oil economic growth does not robustly predict household bank deposit growth in Azerbaijan, with linear causality disappearing when accounting for a 2015-2016 crisis shock.
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Key points
- Linear Granger causality initially showed unidirectional predictive power from non-oil GDP growth to household deposit growth (F=5.305, p=0.032).
- Introducing a 2015-2016 crisis dummy eliminated the statistical significance of the GDP growth predictor.
- Nonlinear Kernel Granger causality tests were statistically insignificant (KGC=0.067, p=0.416).
- Nonlinear methods offered a modest 3.32% reduction in root mean squared error compared to linear models.
AI-generated from the title and abstract; the full text is not read.
Abstract
Type of the article: Research ArticleAbstractThis study examines the predictive relationship between real non-oil economic growth and household bank deposit growth in Azerbaijan using annual data for 2000–2024. Real non-oil GDP and individual bank deposits are measured at constant 2010 prices and transformed into annual logarithmic growth rates. The empirical analysis combines conventional linear Granger causality testing with a nonlinear Kernel Granger causality approach based on radial basis function kernel ridge regression. Nonlinear predictive performance is assessed through expanding-window rolling-origin cross-validation and a circular-shift permutation test. The results indicate a modest improvement in predictive accuracy when nonlinear information is incorporated, with mean squared error declining from 402.41 to 376.16, corresponding to a 3.32% reduction in root mean squared error. Nevertheless, the Kernel Granger statistic is statistically insignificant (KGC = 0.067, p = 0.416), providing no robust evidence of nonlinear predictive causality. Conventional linear Granger testing initially suggests unidirectional causality from non-oil GDP growth to household deposit growth (F = 5.305, p = 0.032), with no evidence of reverse causality. However, introducing a 2015–2016 crisis pulse dummy substantially reduces the lagged GDP growth coefficient from 1.818 to 0.689 and eliminates its statistical significance, while the crisis indicator remains highly significant. These findings suggest that the apparent linear relationship is largely driven by the 2015–2016 macro-financial shock rather than a stable underlying mechanism. Overall, the evidence does not support a robust linear or nonlinear predictive relationship between non-oil economic growth and household deposit growth in Azerbaijan.
The authors' abstract, as published at the source. Banks and Bank Systems, 2026 · DOI ↗
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Field: General Economics, Econometrics and Finance
General Economics, Econometrics and FinanceEconomics, Econometrics and Finance