Minimization of potential debt problems

Key to the success of a property derivatives market is the existence of a transparent and reliable index that can be used as an underlying value. Creating such an index for properties is by no means an easy task. No two buildings are identical; i.e. properties are heterogeneous constituents of an index. Consequently, recording and averaging only prices or valuations lead to a poor-quality index. All characteristics of a property that determine its value also need to be considered, so that prices can be adjusted for heterogeneity and finally be aggregated. Most existing indices were initially constructed as descriptive measures, typically targeted as a benchmark instrument. Thus, it is not clear that these indices are suitable as underlying instruments for derivatives, i.e. as operative measures. To achieve a high accuracy and to earn wide trustworthiness, the following basic criteria should be fulfilled:

Representativeness. The index must truly reflect risk and performance of the respective real estate market and idiosyncratic risk should be reduced to an acceptable level by including a large enough number of objects. Just as for the stock market, where an index with a limited number of titles represents the overall market well, a large enough sample represents the property market as a whole.

Transparency. The calculation debt problems method of the index has to be publicly available.

Track record. A long track record helps people to understand the index and to judge its representativeness and behavior in past economic circumstances.

Objectivity and minimization of potential fraud. The input data must be free of subjective preferences and valuation practices. A large number of independent data providers further reduces the risk of manipulation, as the data of each provider gets a smaller weight in the overall index.