Macroeconomic Volatility and Bank Lending Behavior: An ARDL Approach Using Indonesian Time-Series Data

Authors

  • Fitriana Dwi Lestari Program Studi Ilmu Komunikasi, Universitas Muhammadiyah Yogyakarta
  • Hendra Wijaya Program Studi Ilmu Komunikasi, Universitas Muhammadiyah Yogyakarta

DOI:

https://doi.org/10.71094/vkj.v3i1.123

Keywords:

macroeconomic volatility, bank lending, ARDL, inflation, exchange rate, Indonesia

Abstract

This study investigates the impact of macroeconomic volatility on bank lending behavior in Indonesia using the Autoregressive Distributed Lag (ARDL) approach. Macroeconomic fluctuations, particularly in inflation, exchange rates, and interest rates, create uncertainties that affect banks’ lending decisions. This study utilizes annual time-series data from 2000 to 2023 and analyzes the dynamic relationship between selected macroeconomic indicators and total bank credit. The findings reveal that inflation volatility and exchange rate fluctuations negatively impact bank lending in both the short and long run, while GDP growth positively influences credit expansion. Interest rate volatility shows a weaker but still significant short-run effect. These results imply that macroeconomic stability is essential for fostering credit growth in Indonesia. Policymakers are advised to maintain a predictable macroeconomic environment to support financial intermediation and sustainable economic development.

References

A recent multivariate ARDL-based unit root test (2025). A multivariate autoregressive distributed lag unit root test. Review of Economics & Economic Education Research, 49(1), 17–33.

A recent time-series ARDL study (2025). The drivers of institutional quality: A time series ARDL study in Bangladesh. SSRN. https://doi.org/10.2139/ssrn.4994033

Al Mamun, T. G. M. (2025). Replacing ARDL? Introducing the NSB-ARDL model for structural and asymmetric forecasting. arXiv Preprint. https://arxiv.org/abs/2504.09646

Ameziane, K., & Benyacoub, B. (2022). Exchange rate volatility effect on economic growth under different exchange rate regimes: New evidence from emerging countries using panel CS-ARDL model. Journal of Risk and Financial Management, 15(7), Article 376. https://doi.org/10.3390/jrfm15070376

An ARDL oil futures study (2023). An ARDL approach to study the cointegration relations between the Shanghai crude oil futures. Applied Economics. https://doi.org/10.1080/00036846.2023.2175774

Beck, T., Demirgüç-Kunt, A., & Levine, R. (2010). Financial institutions and markets across countries and over time: The updated financial development and structure database. World Bank Economic Review, 24(1), 77–92. https://doi.org/10.1093/wber/lhp016

Bosupeng, M. (2024). Does exchange rate volatility affect the impact of appreciation shocks on trade balance? Journal of International Financial Markets, Institutions and Money. https://doi.org/10.1016/j.intfin.2023.101100

Ditzen, J., Karavias, Y., & Westerlund, J. (2022). Multiple structural breaks in interactive effects panel data and the impact of quantitative easing on bank lending. [Preprint]. SSRN. https://doi.org/10.2139/ssrn.4176695

Islam, M. J., & Hoque, A. (2024). Islamic banking and sectoral economic growth: Evidence from Indonesia. Banks and Bank Systems. https://www.businessperspectives.org/index.php/journals/banks-and-bank-systems/issue-488/islamic-banking-and-sectoral-economic-growth-evidence-from-indonesia

Makore, I. (2025). Exchange rate volatility and its impact on international… MDPI. https://doi.org/10.3390/fi18070376

Sharma, H., Andhalkar, A., Ajao, O., & Ogunleye, B. (2024). Analysing the influence of macroeconomic factors on credit risk in the UK banking sector. arXiv Preprint. https://arxiv.org/abs/2401.14943

Usmana, A., & Osagie, A. M. (2023). Comparison of Autoregressive Distributed Lag Model and Vector Error Correction Model analysis on the effect of some macroeconomic variables on GDP in Nigeria. International Journal of Finance Research, 4(2), 90–114.

Widarjono, A. (2020). Stability of Islamic banks in Indonesia: Autoregressive Distributed Lag approach. Jurnal Keuangan dan Perbankan, 24(1), 40–52.

Downloads

Published

2025-09-08

How to Cite

Lestari, F. D., & Wijaya, H. (2025). Macroeconomic Volatility and Bank Lending Behavior: An ARDL Approach Using Indonesian Time-Series Data. Varied Knowledge Journal, 3(1), 35–39. https://doi.org/10.71094/vkj.v3i1.123