ABSTRACT
This conclusion presents some closing thoughts on the key concepts discussed in this book. The book explains quantitative analysis in real estate by adopting a practical rather than theoretical approach. It focuses on the subject of stationarity which is relevant to time-series data. The book constructs Autoregressive moving average models to model time-series data and generate forecasts. Vector autoregressions allow for interactions within the real estate market and with the broader investment and economic environment. The book highlights the importance of taking into consideration qualitative forecasting during the evaluation to complement the analysis. It believes that the reader will be able to understand the process, executes a forecast using an econometric model and combines both types of forecasts in an analysis. The book only capitalizes on the benefits of quantitative techniques if the authors combine an understanding of statistical methods with good real estate market knowledge and a strong theoretical background.
