Real Estate

The Power of Bayesian Methods in Housing Investment Forecasting: A Look at BVARS and FAVARS

In recent years, Bayesian methods have gained popularity in the field of housing investment forecasting. These methods, which are based on Bayes’ theorem, allow for the incorporation of prior knowledge and uncertain parameters in the forecasting process. Two specific methods that have been widely used in this context are Bayesian Vector Autoregression (BVAR) and Factor-augmented …

The Power of Bayesian Methods in Housing Investment Forecasting: A Look at BVARS and FAVARS Read More »

Using Predictive Modeling to Forecast Real Estate Demand

Predictive modeling has become a crucial tool for businesses across a variety of industries, and real estate is no exception. By using data and statistical techniques, real estate professionals can forecast demand for properties and make informed decisions about buying, selling, and investing. In this article, we’ll explore the basics of predictive modeling and how …

Using Predictive Modeling to Forecast Real Estate Demand Read More »