Financial Crisis EarlyWarning System Using Time-Varying Dependence Structures and Hybrid Backpropagation Neural Network with Long Short-Term Memory
Financial crises have a significant impact on economic stability, making early detection crucial for policymakers and financial institutions. This study aims to develop a Financial Crisis EarlyWarning System by integrating time-varying dependency structures with machine learning techniques for proactive systemic risk d...