Housing Market Analytics: Forecasting-Theory and Practice

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Develop an in-depth understanding of housing market economics, analytics and modelling to gain a competitive edge as a real estate professional, investor, developer, policy maker, fund manager, or home buyer in the Australian Context

This Course consists of MODULE 3 of the Master Course “Housing Market Analytics: Turning Data to Insights

MODULE 3: Forecasting-Theory and Practice

Learn how to use historical data and forecasting methods to predict the future housing market trends.

Materials included: description of the problem, analytical method to be used, market trend charts, data files (Excel), step by step implementation of the method by Excel and a quiz to test your skills and knowledge

Lesson 1: Time series forecasting: a theoretical framework

Lesson 2: Forecasting the number of house transfers using the Moving Average (MA) and Simple Exponential Smoothing (SES) methods

Lesson 3: Forecasting the population trend using the Holt’s Exponential Smoothing method

Lesson 4: Forecasting housing price growth using the Regression method


Dr. Kevin Hoang is a senior economist with 20 years of experience in public, industry and academic settings in Australia and Asia. Currently, Dr. Hoang is a senior economist in the domain of Australian property market and the Managing Director of HousingMarketAustralia.com, dedicated to develop cutting-edge analytical models and provide training courses in housing market analytics to empower evidence-based decision making for home buyers, investors, developers and property service providers. Dr. Hoang earned a Ph.D in economics from the University of New South Wales in 2012 and was a Japan-IMF scholar in 2004-2006.