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