Real estate market forecasting models are analytical tools used to predict future trends in real estate markets. They typically use historical data, economic indicators, demographic trends, and other relevant factors to make projections about property prices, demand, supply, and other market dynamics. These models can vary in complexity, from simple statistical models to more sophisticated machine learning algorithms. They're valuable for investors, developers, and policymakers to make informed decisions about buying, selling, or investing in real estate.
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