The Sydney housing boom ripple effect

Sydney is different. Since 2003 rents have risen faster than prices. I imagine the rest of the country would find that hard to believe, given their experience. But this is just one piece of evidence to show that the property cycles in Australian cities are nonsynchronous.

The past twenty-five years of data show that the Sydney residential property market is the least volatile, and is always first to boom. In fact, you can chase the price growth ripples from Sydney and Melbourne across the country – to Adelaide, Brisbane, Perth then Darwin. This might be one reason that such divergent opinions exist in the media, academic and professional circles.



If we looked only at the above graph, we would note that the two biggest markets, and arguably most attractive cities, have had the least growth since 2000. That seems particularly counterintuitive.

But if we look long-term the explanation is clear – Sydney and Melbourne had their major boom years before the other cities in the late 1990s.

Each of the charts that follow this post compare the timing of booms in capital cities against Sydney’s booms. The blue background shading matches the Sydney boom periods, with the red shading the boom periods of comparison cities. This exercise reveals a number of things.

• Sydney and Melbourne booms in the 80s and 90s started and finished within a year of each other. In fact, their cycles are the most in synch of all markets. 
• Brisbane lagged Sydney’s late 1990s boom by 4 years – making it an early 2000’s boom. This appears connected to the fact that Brisbane’s 1980’s boom lasted about 4 years longer than Sydney’s. 
• Adelaide followed Sydney’s lead more closely than Brisbane in the 1990s, and lagged Syndey more closely in the late 1980s. 
• Perth’s 2000s cycle was similar to Brisbane, although in the 1980s it had sharper and shorter price rises. 
• Darwin is a world of its own - booming when other capitals had prices tracking below trend. 
• Brisbane, Melbourne and Perth prices have been ‘catching up’ to Sydney over this 25 year period. This could be because the quality of homes is catching up to those in Sydney, and also due to a convergence of income levels between the cities. 
• For some reason, Adelaide is falling behind other major cities (lowest long term growth trend) 
• Sydney never falls as far below its trend as any other city. My eyeballing suggests that price volatility is lowest in Sydney. 

This might have lessons for property investors outside of Sydney. If you are in Brisbane, Perth or Adelaide and follow the Sydney trend a couple of years behind, you will do well. If prices are flat in the major capitals, take your money to Darwin.

What about from 2011 on? Sydney appears below its long term trend, and it rarely drops far below this trend. The other capitals are above their trend and do fall quite far below trend during economic downturns. My personal view is that Sydney stability will continue.

The other question to ponder is the trends in this period could validly be applied from now on. Deleveraging is the most important new consideration, and we have seen the dramatic affects this can have on asset values if we simply look to the US and some European property markets.

My expectation is that prices will fall until such time as yields are high enough to be attractive to investors who aren’t expecting capital gains in the near future. To me, this might mean yields might get higher, relative to interest rates, than we have seen for 30 years. And for that to happen, prices will fall. Of course, if the RBA drops rates significantly, this will dampen falls, but I doubt lead to the market grinding out modest growth (ie. matching inflation) for a couple more years yet.

Economic images

Sometimes I stumble across humourous images and quotes in which I instantly find a deeper meaning. Here are a few recent ones, and my accompanying thoughts.

The first I stumbled across at Bryan Kavanagh's blog (which is worth a read).

What makes it funny is that it is so close to the truth. To me, the deeper meaning is that we have lost an understanding with what real productivity actually is.

The next image can be found all over the web now, but to me provides insights into exactly how new technology integrates into society. 

While we can laugh that the publicly run enterprise is stuck with 1960s technology, to me it says much more. It shows that aggregating many new technologies (computing, flight control, materials etc) into one much larger and more ambitious technology (the space shuttle) takes a long time. Also, it shows me that there are lock-in effects. The car has not changed much at all. This is partly because roads and associated infrastructure are still much the same, and drivers are trained to use the same controls in the car itself. This limits scope for macro improvements in car transport. The same applies to the space shuttle.

I also stumbled across this quote -

As Douglas Adams wrote in 1999, "Anything that gets invented after you're thirty is against the natural order of things and the beginning of the end of civilisation as we know it until it's been around for about ten years when it gradually turns out to be alright really." Yes, the world is different now. Do try to keep up 

This is an important one to keep in the back of our minds when we imagine seeing society deteriorate before our eyes.  I recall that the ancient Greeks worried about the proliferation of written texts, because it meant people no longer needed to remember and recite long passages. Only if you could remember a passage word for word did it show you truly understood its meaning. 

Retail in detail

My recent post on broad retail trends might have provided a reasonable picture of the sector as a whole, but retailing is a diverse beast. One aggregate number is insufficient to describe the performance of the sector.

My approach is to examine retail from a household perspective. Rather than look at total turnover in current prices, I will examine real spend per capita in each of the main retailing subsectors. I do this because economic theory has a lot to say about changes to household spending patterns during economic cycles.

Economic theory would suggest that in boom times, retailers of luxury goods would see turnover increase more rapidly than incomes. As Wikipedia explains - In economics, a luxury good is a good for which demand increases more than proportionally as income rises. The reverse should also be true for these goods.

Importantly, retail trends need to be seen in the context of a housing driven wealth effect. The wealth effect is an increase in spending that accompanies and increase in perceived wealth, rather than spending which is driven by growth in incomes. 

The wealth effect is also behind many of the saving decisions of households. Since 2005 the trend of declining household savings rates was dramatically reversed. We now have a household saving ratio not seen since 1987 (see the RBA’s chart below). This is an important backdrop to the retail story.

These factors are important to consider if you foresee near term home price declines. In this scenario, spending in wealth driven retail sectors would be expected to fall more than flat or falling household incomes, and increased savings alone would suggest.

Now to the detail.

The graphs below show the performance key subsectors in retailing. Note the log scales, which mean a straight line indicates a constant rate of growth – the steeper the line, the higher the rate of growth. Note also that this is a real per capita measure, which is indicative of trends in household spending decisions. Quarterly chain volume data is used, with May 2011 current price data adjusted to substitute for June 2011 data. The ABS explains some of the trends in more specific subcategories here (definitely worth reading the context of this post).

A few points jump out at me from the graphs. First, household goods (maroon in first graph) have outperformed by a long way, for a long time. This category includes furniture and appliances, hardware and gardening, floor coverings and electrical. This sector also appears to have seen the sharpest shock around the end of 2007 – from having the strongest rate of growth to nearly the weakest. The rising part of the curve might partly be attributed to a greater appetite for expensive furniture and appliances, which is indicative of a luxury good effect. Also important is the impact of the construction boom of the early 2000s which has since collapsed in many areas.

Second, clothing and accessories (green line) was on a declining trend for 14 years until 1997. For a decade since then, the growth rate in this sector was only bettered by household goods. Spending recovered strongly since the GFC. I’m not exactly sure why this might be the case. Perhaps some readers have experience in this sector.

Food retailing has been the steadiest (as you would expect) with only a slight easing from the growth trend since 2009 (maroon in second graph).

Other retailing (which includes pharmaceuticals, recreational goods, cosmetics and books) appears very sensitive to the housing wealth effect, seeing big spending boost during the 2002-03, the 2007, and the 2009 house price booms. Surprisingly spending has remained strong since the GFC – the only retail sector where this has occurred.

We might attribute some of the recent robustness to the high Aussie dollar. The ABS explains that pharmaceuticals and cosmetics and toiletries are the strongest components of this sector.

Cafe and restaurant spending (orange line) also appears sensitive to the wealth effect, and is noticeably one of the more volatile sectors.

Department store spending has been declining steadily since the end of 2007 (purple line). Anyone who had closely examined this data would not have been so surprised about David Jones’ recent profit downgrade. Spending at department stores is now back where it was in 2003 on a per capita basis. 

Finally, the second graph has the period of 2002-03 circled. This is simply to highlight that all retail sectors grew at abnormally high rates during the house price boom of this period. Indeed, we can see the wealth effect correlation between house prices and retail growth in many sectors in 2007 and 2009, although to a lesser extent.

My near term outlook is for a subdued retail sector. As I have said before, I believe that in these challenging times for retailers, innovation will be the key to staying ahead. New business models that use internet shopping to good effect, with a small physical store presence might be one path for many. Those companies who adapt quickest will benefit.

The retail picture

Yesterday, my second favourite blog examined trends in retail spending following David Jones' 'shock' profit warning.  A long discussion about how best to represent the current retail climate ensued.

So to follow up, I have produced a graph of real pre capita trends in retail spending on a log scale to give, what I believe, is the best picture of retail spending patterns over time.  The per capita element is not necessary from an industry perspective, as total turnover drives the health of the industry no matter who spends it. But from a household spending perspective it is revealing.

The peak of this real per capita index is Dec 2007 (dotted line), and is down about 0.35% since that peak.  You could say that each persons retail spending has been flat for three and a half years after more than two decades of consistent growth.  In the decade prior to this peak per capita real growth in retail was 3.5%pa.

From an industry perspective, real turnover has grown at 1.7%pa since that peak, whereas in the decade prior, real total turnover grew at 4.9%pa.  This is clearly quite a shock to the sector, and I hope it stimulates some overdue competition and innovation in retailing in this country (as I have previously discussed).

Bundle of rights explains planning and prices

I have never heard the phrase 'bundle of rights' used in any property market discussions, yet the principle forms the legal basis of property itself.

Put simply, when one buys property they are actually purchasing a bundle of property rights associated with that land title. These rights are granted to the title holder by the State. This bundle of rights approach allows us to distinguish between, and appropriately value, different types of tenure, such as freehold and leasehold, and for differing levels of planning regulation, native title rights, and rights to minerals (which even freehold land owners does not have rights to).

When you value property, you value just those rights that are granted to the title holder by the State. A block of land where the title grants a pastoral lease with 10 years remaining will be valued differently if it was a freehold parcel. Changing the legal rights of the owner may vastly change the market value of the property because the property is different – it is a different set of rights, even though the physical land has not changed.

And so we move on to town planning. Local governments have the power to decide what rights, in terms of land use and scale of development (amongst other things) to grant to which parcels of land through their planning regulations.

When people argue that town planning restricts land market activity and leads to higher values, they are generally confusing basic economic theories of production with fundamental theories of valuation of property rights.

Google economic indicators

I have mentioned Google’s real time price index before. Today I want to go ‘around the grounds’ to see how internet prices and search results are being used as economic indicators.

MIT is doing it with their Billion Prices Project. Their index appears to be very similar to Google’s and appears to track the official index in the US well, and a little advanced. That is promising.

The Bank of England is using search term frequency as a complement to survey data to provide a better picture of the labour market. The chart below shows that quite a few search terms provide an indication of conditions in the labour market.

The Economist uses search term frequency to reveal concerns about the fragility of the Chinese economy. For some reason ‘hard landing’ as a search term is rapidly becoming more popular. (Hopefully this is not because of a new rock band by that name, otherwise that would be embarrassing.)

Economist bloggers are also very keen on the possibilities that Google search statistics present. Justin Wolfers tests some search terms over at the Freakonomics blog, while a local economic blogger finds a strong correlation between the unemployment rate and the search term ‘piercing pictures’. Yes, correlation does not imply causation.

And of course yours truly has used Google search terms to investigate whether Australians believe they are in a housing bubble, with reference to the trends in housing prices and Google searches in the US.

Lastly, the academic community is finding that search term frequency a useful tool as a proxy measure for real life frequency of events.

We propose, based on the premise that the occurrence of a phenomenon increases the likelihood that people write about it, that the relative frequency of documents discussing a phenomenon can be used to proxy for the corresponding occurrence-frequency. 

I feel like this is just the tip of the iceberg in terms of the power of the data being collected by Google.  And I hope that this valuable data continues to be provided for free to the general public.

Thought bubbles

No borders?
Imagine there's no countries
It isn't hard to do 
Nothing to kill or die for

In the spirit of John Lennon, what would happen if all countries started a free worker mobility agreement? Where would people leave, and where would their destinations be? Would the world be better off on average? Would it solve many conflicts?

Population arguments
Land is an asset. As the industry would say, they aren’t making any more of it. But shares are also an asset, and most companies aren't make any more shares. So does population growth increase share prices as well? After all, there would be more people competing for the same number of shares?

More support for property – tax deductibility for public servants
Salary packaging mortgage payments seems like just another housing market subsidy available to public servants. A worked example here.

Mere monkeys?
Monkeys trained to use money for transactions (from here)

The essential idea was to give a monkey a dollar and see what it did with it. The currency Chen settled on was a silver disc, one inch in diameter, with a hole in the middle -- ''kind of like Chinese money,'' he says. It took several months of rudimentary repetition to teach the monkeys that these tokens were valuable as a means of exchange for a treat and would be similarly valuable the next day. Having gained that understanding, a capuchin would then be presented with 12 tokens on a tray and have to decide how many to surrender for, say, Jell-O cubes versus grapes. This first step allowed each capuchin to reveal its preferences and to grasp the concept of budgeting.

Then Chen introduced price shocks and wealth shocks. If, for instance, the price of Jell-O fell (two cubes instead of one per token), would the capuchin buy more Jell-O and fewer grapes? The capuchins responded rationally to tests like this -- that is, they responded the way most readers of The Times would respond. In economist-speak, the capuchins adhered to the rules of utility maximization and price theory: when the price of something falls, people tend to buy more of it....

During the chaos in the monkey cage, Chen saw something out of the corner of his eye that he would later try to play down but in his heart of hearts he knew to be true. What he witnessed was probably the first observed exchange of money for sex in the history of monkeykind. (Further proof that the monkeys truly understood money: the monkey who was paid for sex immediately traded the token in for a grape.)

Young property buyers making smart property decisions
Apparently, one in ten home buyers ‘rent to invest’. They choose to rent their principle place of residence, and invest in property elsewhere. This makes perfect sense, and I have commented before why this is always the best way to get financial exposure to the property market – far better than buying to occupy. It is what I’ve always done.

As I said 18 months ago -

What we learn from this exercise is that buying your own home in today's economy is far inferior to buying a home as an investment, or renting and staying out of the property market completely 

Carbon Tax to reduce effective marginal tax rates (must read analysis) 

People are terrible at objectively determining quality
In Washington , DC , at a Metro Station, on a cold January morning in 2007, this man (image above) with a violin played six Bach pieces. During that time, approximately 2,000 people went through the station, most of them on their way to work. After 45 minutes only 6 people had stopped and listened for a short while. About 20 gave money but continued to walk at their normal pace. The man collected a total of $32. When he finished playing no one noticed and no one applauded. There was no recognition at all.

No one knew this, but the violinist was Joshua Bell, one of the greatest musicians in the world. He played one of the most intricate pieces ever written, with a violin worth $3.5 million dollars. Two days before, Joshua Bell sold out a theater in Boston where the seats averaged $100 each to sit and listen to him play the same music.

When to Buy and Sell houses

I came across the Commonwealth Bank - RP Data Home Buyers Index recently. It is designed to estimate the balance of supply and demand in a suburb to indicate whether it is currently a ‘buyers market’ or a ‘sellers’ market. Their website explains:

The Commonwealth Bank - RP Data Home Buyers Index estimates effective supply levels based on the number of properties being advertised for sale within the region.

...On the demand side of the equation, Australia's largest home loan lender, the Commonwealth Bank, provides a summary of the number of home loans that have been funded across Australia. Once we factor the Commonwealth Banks share of market into the equation, the number of home loans funded provides one of the timeliest estimates of housing demand in the market place.

This indicator may signal which direction prices are moving at any point in time, and is therefore a useful tool for market analysts. However, I was wondering if there is a rule of thumb that residential property investors could use to time their entry and exit from the market to maximise returns?

To answer that question I propose Murray’s Retrospective Indicator for Buying and Selling.

The alcohol consumption J-curve

People and governments love to simplify problems to a single issue - Speed kills, Helmets save lives, Stop the boats. It helps them appear to be ‘doing something’. But real life is not so simple.

Take alcohol. While heavy drinking has long been acknowledged as being socially disruptive, more recently, the fight against alcoholism has been partly driven by arguments around health impacts.  Yet their are both positve and negative health effects from alcohol, and the positive effects are usually overlooked.  The unintended consequences of policy are also rarely considered.

The alco-pops tax was one measure aimed at curbing binge drinking, but it was a fizzer. Sales of other alcoholic beverages increased significantly, offsetting much of the claimed benefits of the tax.

Additionally, no one considered that more expensive alcohol might encourage binge drinking at the expense of casual drinking. If your preferred alcohol is more expensive, there is less incentive to drink in a casual setting where you don’t end up drunk. Why spend the extra money on alcohol unless your intention is to get drunk?

It’s a thought that has crossed my mind when considering the drinking patterns around the world. Those countries with the most expensive alcohol, usually due to alcohol taxes, usually have the most extreme binge drinking culture (that's been my personal observation, and I have no hard evidence to back up the claim).

But alas, these considerations are a little too real for the average policy maker to consider.

The Australian government’s health message about alcohol follows the single issue simplification pattern precisely (their emphasis).

Due to the different ways that alcohol can affect people, there is no amount of alcohol that can be said to be safe for everyone. People choosing to drink must realise that there will always be some risk to their health and social well-being.

But alas, the evidence seems to strongly contradict this simplified message (although the alcohol consumption guidelines are a little more generous).

The overwhelming conclusion from large scale longitudinal studies is that moderate drinking improves longevity. The graph below illustrates.

Men who never drink are just as likely to live as long as men who average 4 drinks per day, with those who drink about one drink per day (or 7 per week) likely to live longest.

The results are partly attributed to the social interactions that are associated with alcohol consumption.

One important reason is that alcohol lubricates so many social interactions, and social interactions are vital for maintaining mental and physical health. (here)

Somewhat surprisingly there are no other plausible explanations at hand that I know of. The debate appears stuck on the ‘is this relationship real’ stage, without moving on to considering why it might be real.

So here is a suggestion.

Often our body has systems that work on a use-it-or-lose-it basis. We use muscles, they grow. We don’t, they atrophy. Our bodies have a built in system (ethanol metabolism) to break down alcohol. Perhaps the very act of digesting of excess alcohol keeps the system healthy for longer.

As my good friend Wikipedia says

If the body had no mechanism for catabolizing the alcohols, they would build up in the body and become toxic.

In any case, the health impacts of alcohol consumption are another example of how common understanding and resulting policy is often detached from the more rigorous academic research. It also highlights repeated failure of policy makers to consider the unintended consequences of well meaning policy.

HT: Eric Crampton at Offsetting Behaviour

Cannon's Law

Cannon's Law says that if it will work, then the government won't do it. If regulation would really bite, the regulated parties will work the political system to kill it. (here)

With so many simple effective regulatory reforms that would greatly enhance economic efficiency being constantly overlooked, this spoof law resonates with my experiences. It is particularly relevant to the mining tax, the carbon tax, and other reforms currently being considered (even to the Greek debt situation).

The point is that economists often oversimplify policy matters. They consider government decisions is isolation of the interaction between affected parties and politicians. Remember, most policy changes involve winners and losers, and the relative political clout of each group can determine the actual outcomes.

My version of Cannon’s Law would be a little more subtle and say –

The more effective the regulation in achieving outcomes for the public good, the less likely the regulation will be appropriately implemented due to the increased likelihood of regulatory capture.

For those not familiar with regulatory capture, the following definition might be useful.

For public choice theorists, regulatory capture occurs because groups or individuals with a high-stakes interest in the outcome of policy or regulatory decisions can be expected to focus their resources and energies in attempting to gain the policy outcomes they prefer, while members of the public, each with only a tiny individual stake in the outcome, will ignore it altogether.[1] 

Regulatory capture refers to when this imbalance of focused resources devoted to a particular policy outcome is successful at "capturing" influence with the staff or commission members of the regulatory agency, so that the preferred policy outcomes of the special interest are implemented.

Regulatory capture does not have to involve intentional ‘ship jumping’ by agencies. The simple fact that you are spending a lot of time talking to the industry you regulate makes you identify with that industry.

For example, the agency who is charged with regulating the amount of water available to be used in each river system would talk with farmers quite a bit. They would begin to think that they are in the ‘water business’ rather than the ‘protect the public interest’ business, thus subtly shifting their subconscious focus.

To be clear, there are two key political realities that economists usually overlook.

1. If a new regulation will be very effective, it is unlikely to see the light of day; and
2. Even if a new regulation is adopted, it is likely to be watered down by vested interests ‘capturing’ the regulatory body.

In the end, perhaps our political leaders are not as powerful as we think. Our democracy appears to have a secondary feedback loop between politicians and interest groups that chugs along behind the main cycle of politicians reporting to the people at the ballot box. The power rests with the people and the alliances we form in business and social practices.

Perhaps the power is distributed unevenly due to the differences in wealth between groups.  And maybe there are simple ways around that, like capping and declaring political donations.  Or maybe this wealth difference is not so important - even big business needs to keep customers happy.

Maybe these thoughts are no surprise to you. But it is nice to lay it all out and ponder our own positions is this social game.