Return Patterns of German Open-End Real Estate Funds

Sebastian Gläsner

ISBN 10: 3631604068 / ISBN 13: 9783631604069

Published by Peter Lang Mrz 2010, 2010

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of this study is to better understand stable capital growth of German properties and to contribute to the explanation of stable fund returns. In the course of the investigation, evidence is found that both phenomena are interrelated. All analyses are based on publicly available data; therefore they are not limited by client interests. Results show three different pieces of evidence on return smoothing, namely the influence on valuation, the timing of valuations, and the influence on returns resulting in return differences by calendar months. Together with the notion of internationally uniquely stable returns, it seems impossible to extract true asset volatility from the observed appraisal-based time series. 124 pp. Englisch.

Seller Inventory # 9783631604069

Bibliographic Details

• Title: Return Patterns of German Open-End Real Estate Funds
• Publisher: Peter Lang Mrz 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 3631604068
• ISBN 13: 9783631604069
• Binding: Buch
• Condition: Neu
• Dimensions: 216W x 153H x 11D millimeters 216 millimeters width by 153 millimeters height by 11 millimeters depth
• Weight: 283 grams

About this title

Synopsis

The aim of this study is to better understand stable capital growth of German properties and to contribute to the explanation of stable fund returns. In the course of the investigation, evidence is found that both phenomena are interrelated. All analyses are based on publicly available data; therefore they are not limited by client interests. Results show three different pieces of evidence on return smoothing, namely the influence on valuation, the timing of valuations, and the influence on returns resulting in return differences by calendar months. Together with the notion of internationally uniquely stable returns, it seems impossible to extract true asset volatility from the observed appraisal-based time series.

About the Author

The Author: Sebastian Michael Gläsner studied at the European Business School and achieved a master in business administration (Dipl. Kaufmann) with a focus on real estate and controlling in 2005. He works currently in the area of fund benchmarking.