Subject. This article examines the relationship between financial development and economic growth in the Russian Federation using data for 2003–2023. Objectives. The article aims to establish a causal relationship between financial development and economic growth indicators. Methods. For the study, we used the autoregressive distributed lag model (ARDL), error correction model (ECM), and the Granger causality. Results. Based on the cointegration bounds test, the article finds that there is a relationship between the described variables. Conclusions and Relevance. The proposed approach to establishing a causal relationship based on the ARDL and ECM methods shows the possibility of obtaining reliable results. The impact of financial development on economic growth is significant. Financial development will play a more significant role in the overall economic indicators of the country in the future and the nature of the relationship with GDP must be taken into account. The results obtained can be useful when planning indicators of the size and structure of the financial sector.
Keywords: finance, development, economy, growth, cointegration, model
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