HOUSING MARKET MODELLING PROGRAM

Housing Market Modelling Program’s vision is to empower evidence-based decision making for home buyers, investors, developers, property service providers and policy makers:

• To develop cutting-edge analytical models to enhance evidence-based decisioning
• To develop proprietary analytics solutions to rank 15,000 suburbs across Australia: identifying top 1% suburbs across Australia for successful property investment backed by big data and machine learning
• To provide expert advisory service in the domain of the Australian housing market analytics to institutional investors, councils, governments and corporate clients
• To develop research capabilities in analytics and modelling to tackle the emerging challenges in the housing market

RESEARCH PRIORITIES

Housing market analytics and modelling

• Location ratings: develop a cutting-edge method to rate suburbs, LGAs and cities according to the specific neighbourhood level data.
• Market cycle analytics: taking into account a property market’s specific characteristics such as volatility, long and short memory growth rates, we develop a proprietary algorithm to detect the current market phase (Hot, Cold or Balanced) to enable sophisticated investors and home buyers to enter or exit the market strategically.
• Housing market monitoring system: track the trends of key fundamentals that drive housing supply and demand; build analytical models to forecast the future trends.
• Building a microsimulation model for policy analysis: this modelling approach will take into account the heterogeneity of market players’ behaviours (i.e. buyers, sellers, banks, governments) and their interactions with properties over their lifetime. The model can be used to assess the impact of policy scenarios or macroeconomic changes on the market outcomes.
• Housing affordability: sustained growth in housing prices has worsen housing affordability for first home buyers, what policies at local and national levels can be deployed to improve home ownership?
• The long term housing price trends of capital city markets in Australia: an empirical analysis.

Demographics research: How the underlying demographics changes will shape the housing demand in the future?

• Population and demographics changes: research into the effect of population and demographics changes such as aging population and immigration on the demand for housing.
• Household count and size: how the building industry will plan for the projected housing demand, taking into account the demographics changes including aging population and increasing marriage age?
• Inter-state and inter-region migration: identify the patterns and dynamics of population mobility to assess the total housing demand.

BOOK AND DATA FILES: HOUSING MARKET ANALYTICS: TURNING DATA TO INSIGHTS ($499)

HousingMarketAustralia.com is proud to offer the first data analytics and modelling course dedicated to analysing the Australian housing market: Housing Market Analytics: Turning Data to Insights.

You’ll explore the theory and the analytical frameworks to gain in-depth knowledge about the dynamics of the Australian housing market, learn how to use data and modelling techniques to value property, use data analytics to forecast the future trends of the key market indicators, and carry out rigorous due diligence for any property or a sub-market.

This course is designed by Dr. Kevin Hoang, who has earned a PhD in economics from the University of New South Wales (UNSW) and has possessed years of experience in the domain of the Australian housing market analytics.

Click Buy Now ($499) will lead you to PayPal payment platform, once paid the Book and excel data files will be emailed to your nominated email address.