An Analysis Of The Australian Property Market Crisis

As the Australian real estate landscape evolves, recent data reveals a concerning trend in key affordability indicators, painting a portrait of a burgeoning crisis in the property market. The house price-to-income ratio, standing at 117.6 percent in the second quarter of 2023, signifies a notable increase, underlining potential challenges for aspiring homeowners. This ratio, derived from nominal house prices in relation to disposable income, serves as a critical gauge for housing affordability in specific regions. A parallel trajectory is observed in the house price-to-rent ratio during the same period. Delving deeper into household expenditure, alarming statistics emerge, with 10.5% of households dedicating more than 30% to 50% of their gross income to housing costs, and 5.7% allocating 50% or more. These figures, on an upward trajectory since 2007–08, highlight the worsening of the Australian property market crisis, marking a pivotal moment in the landscape to address the mounting pressures on housing affordability.

The 4-quadrant economic model is a simple conceptual tool that explains the causal relationship in the space market, capital market and development market over the short and long term. It is important to note that this model does not capture everything that happens in the housing market and is not designed to predict rent or price levels, but it helps us understand the basics of real estate mechanics. Essentially, it shows how a shock in one quadrant can impact the entire market, providing insights into real estate dynamics.

The top right quadrant, I, explores the relationship between rental cost ($) and the quantity of available houses. This quadrant essentially captures how the market orchestrates the expense associated with renting a home. The downward slope demonstrates a crucial dynamic whereas rental prices rise, the quantity demanded decreases. In practical terms, this implies that when there is an abundance of homes in the market, moving to the right of the x-axis, the cost to rent decreases. Conversely, when there is very little stock, moving to the left of the x-axis, rent prices surge. This competitive landscape, where renters vie for the available housing stock, acts as a driving force behind fluctuations in rental costs.

As we move to the capital market, II, which focuses on the market for selling properties. This quadrant is reflective of how much a property is worth, per dollar of rent. In other words, the more rent a property can earn, the more valuable it is to own, and vice versa.

The next quadrant, III, is reflective of the construction industry, in which the amount of construction is mostly a function of house prices. If homes are selling for higher prices, more properties will be developed to capitalise on the opportunity, and vice versa.

The final quadrant, IV, is reflective of the inventory of homes in the market. The amount of inventory of houses is a function of construction. This means that the more houses built reflects more inventory of properties available.

Interest Rates

Now that we understand the basics of this model, we can observe how different shock affect the quadrant and their related implications on the property market. Interest rate is a common factor that impacts housing prices. In recent years, we have seen a sharp increase in the interest rate depicted in the cash rate target. This is the interest rate that banks pay to borrow funds from other banks in the money market overnight. A significant increase in the cash rate means that banks must pay more to borrow money and oftentimes, banks will pass this burden onto consumers by increasing the interest rates on loans, including mortgages. As of the 8th of November 2023, the cash rate stands at 4.35%, up another 0.25 points since June.

This burden on the consumers is reflected in the mortgage rate, which has significantly increased since COVID from 2.41% on new loans and 2.86% on outstanding loans to a whopping 6% on new loans and 6.18% on outstanding loans. Ultimately, this affects homeowners and home buyers as the cost of owning a home is rising increasingly.

This shock will first impact the 2nd quadrant. When mortgage rates increase, holding all else constant, the graph slope will steepen, leading to lower house prices. This is because the relationship between mortgage rates and home prices is generally inverse. Higher mortgage rates increase the cost of borrowing for home buyers, potentially reducing their purchasing power. This can lead to a decrease in demand for homes, resulting in moderate home price growth or even a decline in prices. To put this in perspective, a home that earns $700 per week in rent that was initially worth $1.4 million is now worth $1.3 million.

This ripples out to the construction quadrant where lower home prices and higher cost of builds means fewer new developments are started. Less construction then ripples to the inventory quadrant where the number of available homes declines, restricting the supply of properties in the market. Finally, less availability of houses means the price to rent a house goes up, increasing the rental costs.

The model captures the actual impact of an interest rate shock on Melbourne’s rental landscape. The rental cost has surged notably, reaching an all high of $597 per week. This marks a 30% increase since the onset of 2022.

You might have noticed previously we have stated that higher mortgage rates will lead to lower property prices. This is true in theory and has been the case, represented in the fall in housing prices in June 2020, however, since then property prices have increased significantly and now are at record levels, surpassing the previous peak in April 2022. To explain this, recall that the 4-quadrant model is only useful in explaining one change at a time. In this case, we have only looked at the isolated effect of rising interest rates, however, there have been other important factors contributing to property pricing, including population growth and rising construction costs.

Population Growth

The first factor affecting the real estate market is population growth. In the 1950s, Australia had a population of 8 million and by now, this figure stands at 25.7 million. This figure is expected to grow by a further annual average of between 1.2% and 1.7% until 2032 and most of this is due to overseas migration. This surge in population has far-reaching implications for the housing market and it is fairly intuitive to know that a bigger population will drive higher property prices.

Using the 4-quadrant model once again, as the demand for residential properties intensifies and competition for available properties increases, this will lead to a rightward shift in the rental demand curve. This suggests that given the available quantity of properties, the cost of rent will increase. Higher rent will lead to the slope of the property market to flatten, resulting in higher property prices. Higher housing prices should drive more construction and development and eventually, increasing in inventory, lowering rent again and therefore, lowering house prices.

Rising Construction Costs

The anticipated market dynamics outlined above do not align with the current reality, primarily due to an inadequacy in property development, perpetuating a scarcity in supply that propels both rent and property prices higher. The lingering aftermath of the pandemic has played a pivotal role in this divergence. Building a house, for instance, has become an astonishing 30% more expensive compared to pre-pandemic times, primarily attributable to soaring costs of materials and labour.

The toll on the construction industry is evident, with more than 1700 companies succumbing to financial strain and entering administration between July 2022 and April 2023. This economic challenge has, in turn, become a significant bottleneck in the construction of new homes, intensifying the existing supply shortage. Concurrently, the vacancy rate metric, a key indicator of rental property availability, stands at a mere 1.02% as of October 2023, well below the 3% threshold considered indicative of a healthy market.

This scarcity in available rental properties intensifies rental demand, resulting in elevated rental prices driven by increased competition among tenants. The positive correlation between higher rental income and property values contributes to the persistent imbalance between soaring demand for residential properties and a constrained supply, defying the conventional expectations outlined in the 4-quadrant model.

In summary, the real estate market's intricate interplay of rent, property prices, and construction activity defies simplistic predictions, challenging conventional economic models like the 4-quadrant framework. The enduring repercussions of the pandemic, including a 30% surge in building costs and the financial strain on the construction sector, have created significant hurdles for new property development. Coupled with a vacancy rate below the healthy threshold, this has intensified the existing supply shortage, propelling rental prices and property values to unprecedented levels. The current landscape underscores the necessity of adapting economic models to accommodate real-world complexities, urging stakeholders to adopt a nuanced approach in navigating the evolving dynamics of the real estate sector.