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 4 and MODULE 5 of the Master Course “Housing Market Analytics: Turning Data to Insights“
MODULE 4: Property valuation methods: theory and practice of automated home valuation modelling and cash flow modelling
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
Understand the theory of the hedonic modelling approach that underpins the modern automated home valuation models currently offered by the leading companies such as Corelogic/RP Data; use real property data to build your own automated home valuation model for a suburb; and carry out a valuation for a specific property or a building.
Lesson 1: Hedonic regression model-Building an automated valuation model (AVM) for unit market in Kensington, NSW 2033
Lesson 2: Cash flow approach-valuing an apartment building or a commercial building
MODULE 5: Simulation modelling for risk management in property investment
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
Learn to use analytical approaches to manage uncertainties in property investment; carry our the Monte Carlo simulation method using real world data set and interpret the results for decision making.
Lesson 1: Monte Carlo simulation
Lesson 2: Price growth forecasting: why forecasts are most likely wrong?
Lesson 3: Property valuation under uncertain market conditions
