Vol. 5 No. 1 (2025): Issue 5
Articles

Dynamic Bayesian Networks for Modelling Liquidity Preference-Money Supply

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  • Emre Yilmaz,
  • Selin Demir,
  • Aylin Karaca
Emre Yilmaz
Department of Economics, Gaziantep Institute of Social Sciences
Selin Demir
Center for Financial Research, Düzce University School of Economics
Aylin Karaca
Institute of Advanced Economic Studies, Sakarya Research Center

Published 2025-02-23

Keywords

  • Dynamic Bayesian Networks,
  • Liquidity Preference,
  • Money Supply,
  • Economic Analysis,
  • Monetary Dynamics

How to Cite

Yilmaz, E., Demir, S., & Karaca, A. (2025). Dynamic Bayesian Networks for Modelling Liquidity Preference-Money Supply. Economic and Financial Research Letters, 5(1). Retrieved from https://ojs.mri-pub.com/index.php/EFRL/article/view/110

Abstract

This paper proposes the utilization of Dynamic Bayesian Networks for modeling Liquidity Preference-Money Supply, aiming to address the pressing need for advanced tools to analyze economic dynamics. The current research landscape lacks efficient methods to account for the intricate relationships and uncertainties inherent in monetary systems, posing significant challenges for accurate modeling and forecasting. In response, this study introduces a novel approach that leverages Dynamic Bayesian Networks to capture the complex interactions between liquidity preferences and money supply, offering a more comprehensive and adaptable framework for economic analysis. By integrating this innovative methodology, the paper advances the understanding of monetary dynamics and provides valuable insights for policymakers and researchers in the field.

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