The black swan effect and the impact on Australian property forecasting

Higgins, D M (2013) The black swan effect and the impact on Australian property forecasting. Journal of Financial Management of Property and Construction, 18(1), pp. 76-89. ISSN 1366-4387

Abstract

The term “Black Swan” has gained recent popularity to describe an extraordinary event that causes extensive damage. The combination of low predictability and major impact makes an upswing in the magnitude of Black Swan events an important factor when making property market forecasts. The difficulty is that the preferred property forecast models traditionally depend on input data constructed on a normal (bell curve) conditions. As outliers, Black Swan events appear not to form part of the property forecast process. The aim of this research is to examine Black Swan events. This research examines Black Swan events and tests their impact on the accuracy of short term, six month bi-annual survey forecasts from leading economists and property analysts for key Australian property market determinants: economic activity (GDP), ten year bonds and CBD office vacancy rates for the 2005-2011 period. A range of statistical tests showed inconsistencies with the expert forecasts to actual performance and importantly all the experts appeared to miss the start of the Global Financial Crisis in the December 2008 period. The variations in the margin of forecast error suggest that the experts examine the selected property determinants independently. Also, for economic activity and CBD office vacancy rates, there is an interesting trend that in several consecutive time periods, a simple naïve “no change” forecast was better than those of the experts. In an environment of increasing occurrence of Black Swan events, this inability to forecast short term property market determinants with confidence highlights serious issues with the current approach to forecasting property market performance. The first step for research in this area is to understand and frame the property risks associated with Black Swan events.

Item Type: Article
Uncontrolled Keywords: Australia; black swan events; forecast accuracy tests; property forecast models; real estate
Index terms: determinant, economic activity, real estate, Australia, forecasting, vacancy, statistical test, variation, property market, accuracy, survey, global financial crisis
Subjects: data collection methods, risk assessment, real estate economics, economic analysis, prediction and forecasting, economic concepts, contractual condition, Geography, professional development, statistical analysis
Topics: Business Strategy, Research Practice, Geographical Context, Information Management, Risk Management, Urban Studies, International Construction, Contract Administration
Descriptive scope: 4 PCEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here