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Institute
Both banks and open end real estate funds effectuate liquidity transformation in large amounts and high scales. Because of this similarity the latter should be analyzed using the same methodologies as usually applied for banks. We show that the work in the tradition of Diamond and Dybvig (1983), especially Allen and Gale (1998) and Diamond and Rajan (2001), provides an applicable theoretical framework. We used this as the basis for our model for open end real estate funds. We then examined the usefulness of the modeling structure in analyzing open end real estate funds. First, we could show that withdrawing of capital resulting in a run is not always inefficient. Instead, withdrawing can as well be referred to the situation where the low return of an open end fund unit in comparison to other opportunities makes, (partial) withdrawal viewed from the risk-sharing perspective optimal. Even with costly liquidation, this result will hold, though we will have deadweight losses in such a situation. Second, introducing a secondary market in our model does, not in general, resolve the problem of deadweight losses associated with foreclosure. If assets are sold during a run, we do not only have a transfer of value but it can also create an economic cost. Because funds are forced to liquidate the illiquid asset in order to fulfill their obligations, the price of the real estate asset is forced down making the crisis worse. Rather than providing insurance, such that investors receive a transfer in negative outcomes, the secondary market does the opposite. It provides a negative insurance instead. Third, our model proves that the open end structure provides a monitoring function which serves as an efficient instrument to discipline the funds management. Therefore, we argue that an open end structure can represent a more adequate solution to securitize real estate or other illiquid assets. Instead of transforming open end in closed end structures, fund runs should be accepted as a normal phenomenon to clear the market from funds with mismanagement.
This paper analyzes the relation between demographic structure and real asset returns on treasury bills, bonds and stocks for the G7-countries (United States, Canada, Japan, Italy, France, the United Kingdom and Germany). A macroeconomic multifactor model is used to examine a variety of different demographic factors from 1951 to 2002. There was no robust relationship found between shocks in demographic variables and asset returns in the framework of these models, which suggests that Asset Meltdown is rather fiction than fact.
Past research suggests that international real estate markets show return characteristics and interrelationships with other asset classes, which probably qualify them as an interesting component of national and international asset allocation decisions. However, the special characteristics of real estate assets are quite distinct from that of financial assets, such as stocks and bonds. This is also the case for real estate return distributions. Therefore, the proper integration of real estate markets into asset allocation decisions requires profound understanding of real estate returns' distributional characteristics .
Because of the particular characteristics of real estate, representing real estate markets through reliable a time-series is a complex task. Consequently, reliable real estate indices with a sufficiently long history in major international real estate markets are only scarcely available. Most of the research that has been done on real estate returns was done for the U.K. and U.S., where eligible indices exist. On the other hand, in other important real estate markets, such as Germany, either little or no research has been perfoimed.
In this analysis, the methodology of Maurer, Sebastian and Stephan (2000) for indirectly deriving an appraisal-based index for the German commercial real estate market will be applied. This approach is solely based on publicly available data from German open-ended real estate investment trusts. It could also provide a solution to deriving a reliable real estate time-series for other markets.
We will extend previous analyses for the U.K. and U.S. to provide additional fundamental insights into the return characteristics of the German commercial real estate market. Despite univariate considerations, the main focus is the interrelationships between various international real estate markets, as well as between those respective markets and the international stock and bond markets.
Der vorliegende Beitrag zeigt auf, wie hedonische Preisindizes für Immobilien auf der Basis von Transaktionen berechnet werden können. Der Heterogenität der Immobilien wird dabei durch ein ökonometrisches Modell Rechnung getragen, wobei in dieser Arbeit das Problem der Wahl einer geeigneten Funktionsform durch eine Transformation nach dem Ansatz von Box/Cox (1964) explizit berücksichtigt wird. Die Datenbasis deckt etwa 65% der Transaktionen des Wohnungsmarktes im Zeitraum 1990-1999 ab. Die Korrektur aufgrund unvollständiger Angaben führt zu einem Datensatz von 84 686 Transaktionen. Dieser Datensatz ist ein Vielfaches dessen, was bisher vergleichbaren Studien zugrunde lag und stellt damit eine international einmalige Datengrundlage dar.
The purpose of this paper is to compare three different index construction methodologies of commercial property investments. We examine for different European countries (i) appraisal-based indices and methods of „unsmoothing“ the corresponding return series, (ii) indices that trace average ex-post transaction prices over time, and (iii) indices based on Real Estate Investment Trust share prices.
Real estate is an important asset, but as a direct investment subject to several difficulties. Shares of public open end funds or of real estate stock corporations represent a possible way for an investor to avoid these problems. The focus of this paper is the analysis of inflation risk of European real estate securities. An overview of the institutional frameworks regarding these companies is given. The returns of real estate securities in France, Germany, Switzerland and the United Kingdom are examined for the period 1980:1-1998:12. Besides the classical Fama/Schwert-approach, shortfall risk measurements have been used. In this context, transaction costs in particular have been taken into account.