Real Estate Investment Risk Analysis: Predictive AI Modeling of Real Estate Market Crashes Using Macroeconomic Indicators
Keywords:
Real estate market crashes, AI predictive modeling, macroeconomic indicators, machine learning, investment risk analysis, time-series forecasting.Abstract
The real estate sector is a fundamental pillar of global economic stability, yet it remains highly vulnerable to macroeconomic fluctuations and market crashes. Traditional risk assessment methodologies often fail to account for the complex, non-linear relationships between economic indicators and real estate dynamics. With advancements in artificial intelligence (AI) and machine learning, predictive modeling has emerged as a powerful tool for forecasting real estate market crashes.
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