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There are no references to turnover in either of the definitions of market value presented in the beginning of this chapter. The most probable explanation for this is that the definitions assume that there is a considerable number of potential buyers that are willing to buy a property for roughly the same price, e.g. on an active housing market with many similar properties. In such a situation, the demand curve is almost horizontal in a rather large interval on the quantity‐axis. A consequence of this is that changes in turnover will not have a strong effect on the price. This is illustrated in Figure 2.1.

But how realistic is really this assumption? In the commercial real estate market, possible buyers may have rather different views on the potential of a property and the future development of the market where the property is located. On the residential market, actors might differ in preferences, in their incomes and in their expectations about the future development of the market. In both cases, the reservation prices of the actors on the market might differ considerably. Differences in knowledge may also lead to differences in reservation prices. The effect of these differences in reservation prices is that there will be a downward sloping demand curve, and that the expected price – the market value ‐ will depend on the number of properties that are put on the market during a certain period of time. However, it is also important to bear in mind that the market value concept in itself is independent of the numbers of transactions in the market. If there is a small number of transactions, or maybe no transactions at all, the aim when estimating market value is still to find a hypothetical price in a transaction on market terms at the value date. (We will discuss issues connected to valuation methods that may be applied in thin markets more in detail in Chapter 3, and especially in the context of so‐called ‘actor‐based methods’.)

Figure 2.1 Price and quantity with an almost horizontal demand curve.

Haurin (2005 ) discusses changes in liquidity/turnover in the context of creating a real estate price index. The variation in turnover during the business cycle will smooth prices, as prices will not rise so much when more properties are put on the market during the boom, and not fall so much when turnover goes down during a recession. An extreme case is illustrated in Figure 2.2, where no property owner is willing to sell at a price below the current one. The supply curve is then horizontal at the current price up to the current level of turnover. A fall in demand will in such a situation lead to a fall in turnover, but the observed prices will not fall. It has been argued that this is actually what happened in Sweden when the financial crisis hit the real estate market in the fall of 2008. The current owners were financially stable and did not sell when demand fell. The market died and there were almost no transactions and no new prices were observed on the market, which created problems for valuers.

A low interest rate can make these fluctuations in turnover stronger. The low interest rate can make it easier to hold out when there is a downturn in demand as debt costs fall. A low interest rate also makes it less costly to wait and therefore the expected future prices do not have to be so much higher than the current price in order to make it rational to wait. Assume that the current market value – in the recession – is 100. If the rate of return demanded is 10%, then it is rational to wait if the price in a year is expected to be higher than 110. But if the rate of return demanded is 4%, then it is rational to wait if the price in a year is expected to be higher than 104.

Figure 2.2 Price and quantity with a partly horizontal supply curve.

The underlying ‘problem’ is that transactions are voluntary and that the willingness to buy and sell depends on market conditions. Observed transactions are not the result of a random selection of properties that is put on the market. Given the economic conditions, institutional structure and the beliefs of the actors, a certain change in demand can lead to very different reactions on the market: In some cases, transaction volumes fall much and prices only a little, while in other cases, observed prices fall much but turnover only a little. The development during the financial crisis 2008 can illustrate this where observed prices for commercial property hardly fell at all in Sweden while they fell much and quickly in England (see Crosby et al. 2010 ) – even though the underlying fall in GDP was roughly the same.

It might not be necessary to make assumptions about turnover explicit in the definition of market value, but it could be an advantage to add a clause saying ‘given expected turnover’ in the definition. The relation between turnover and price, when there is a downward sloping demand curve, will, however, affect uncertainty in the estimation of market value. This will be returned to both in Chapter 4 on uncertainty and in Chapter 6, where we discuss exit prices in thin markets in the context of valuation for financial reports.