IMF Updates Global and National Housing Outlook, Australian Property Overvalued

In the latest release, the IMF have provided data to October 2015, and also some specific analysis of the Australian housing market. We think they are overoptimistic about the local scene, and we explain why.

But first, according to the IMF, globally, house prices continue a slow recovery. The Global House Price Index, an equally weighted average of real house prices in nearly 60 countries, inched up slowly during the past two years but has not yet returned to pre-crisis levels.

chart1_As noted in previous quarterly reports, the overall index conceals divergent patterns: over the past year, house prices rose in two-thirds of the countries included in the index and fell in the other one-third.

house prices around the world_071814Credit growth has been strong in many countries. As noted in July’s quarterly report, house prices and credit growth have gone hand-in-hand over the past five years. However, credit growth is not the only predictor for the extent of house price growth; several other factors appear to be at play.

house prices around the world_071814For OECD countries, house prices have grown faster than incomes and rents in almost half of the countries.

chart2_House price-to income and house price-to-rent ratios are highly correlated, as documented in the previous quarterly report.

chart2_ Turning to the Australia specific analysis, Adil Mohommad, Dan Nyberg, and Alex Pitt (all at the IMF) argue that house prices are moderately stronger than consistent with current economic fundamentals, but less than a comparison to historical or international averages would suggest. Here is just a summary of their arguments, the full report is available.

Argument: House prices have risen faster in Australia than in most other countries, suggesting, ceteris paribus, overvaluation.

OZ-House-Prices-to-GDPCounter argument 1: House prices are in line on an absolute basis – Price-to-income ratios have risen in Australia and now near historic highs. However, international comparisons suggest that Australia is broadly in line with comparator countries, although significant data comparability issues make inference difficult.
Counter argument 2: The equilibrium level of house prices has also risen sharply – Lower nominal and real interest rates and financial liberalization are key contributors to the strong increases in house prices over the past two decades. The various house price modeling approaches indicate that house prices are moderately stronger (in the range of 4-19 percent) than economic fundamentals would suggest.
Counter argument 3: High prices reflect low supply – Housing supply does indeed seem to have grown significantly slower than demand, reducing (but not eliminating) concerns about overvaluation.
Counter argument 4: It is just a Sydney problem, not a national one – The two most populous cities, Sydney and Melbourne, have seen strong house price increases, including in the investor segment. A sharp downturn in the housing market in these cities could be expected to have real sector spillovers, pointing to the need for targeted measures—including investor lending—to reduce risks from a housing downturn.
Counter argument 5: There are no signs of weakening lending standards or speculation – While lending standards overall seem not to have loosened, the growing share of investor and interest-only loans in the highly-buoyant Sydney market, is a pocket of concern.
Counter argument 6: Even if they are overvalued, it doesn’t matter as banks can withstand a big fall – While bank capital levels are likely sufficient to keep them solvent in the event of a major fall in house prices, they are not enough to prevent banks making an already extremely difficult macroeconomic situation worse.

Let us think about each in turn.

Thus, DFA concludes the IMF initial statement is correct, and despite their detailed analysis, their counterarguments are not convincing. We do have a problem.

Author: Martin North

Martin North is the Principal of Digital Finance Analytics

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