Advancing Financial Stability in Islamic Banking through Pioneering Bankruptcy Forecasting with the Colonial Competition Algorithm

Publish Year: 1403
نوع سند: مقاله کنفرانسی
زبان: Persian
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تاریخ نمایه سازی: 18 تیر 1403

Abstract:

This innovative study addresses the crucial task of proactively fortifying financial stability within the realm of Islamic banking by introducing a cutting-edge approach to bankruptcy forecasting. Leveraging the sophisticated Colonial Competition Algorithm, renowned for its adaptability, the research aims to enhance the precision and efficiency of bankruptcy prediction models tailored specifically for the distinctive characteristics of Islamic financial institutions.Commencing with an acknowledgment of the unique complexities inherent in Islamic banking, the research underscores the need for specialized forecasting methodologies. Given the distinct principles of Sharia governing financial transactions, the risk factors and indicators contributing to bankruptcy in Islamic banks necessitate a tailored approach.The Colonial Competition Algorithm, inspired by the competitive and cooperative behaviors observed in natural colonies, emerges as the primary tool for bankruptcy prediction in this study. This algorithm, known for its adaptability and robustness, navigates the intricate landscape of financial data, uncovering patterns and correlations that may elude traditional forecasting methods.The research meticulously outlines the implementation steps of the Colonial Competition Algorithm for bankruptcy forecasting in Islamic banking. From data collection and preprocessing to feature selection, the study emphasizes the incorporation of Sharia-compliant financial indicators. The algorithm's training and validation phases are detailed, showcasing its ability to adapt and optimize predictions based on evolving market conditions.Moreover, the study highlights the comparative advantages of the Colonial Competition Algorithm over traditional forecasting methods, showcasing its superior performance in terms of precision, recall, and overall predictive power.The implications of this research extend beyond academia, offering practical insights for risk management professionals, regulators, and decision-makers in Islamic financial institutions. By proactively identifying potential sources of financial distress, this pioneering approach aims to fortify the stability of Islamic banking, fostering resilience in the face of economic uncertainties.In conclusion, this study presents a forward-looking perspective on ensuring the financial stability of Islamic banking through the adoption of state-of-the-art bankruptcy forecasting techniques. The integration of the Colonial Competition Algorithm represents a paradigm shift in risk management practices within Islamic financial institutions, contributing to the industry's evolution and sustainability.

Authors

Farshad Ganji

Business-Accounting and Finance Ph.D.(C) The student in the Institute of Social Sciences of Istanbul Arel University.