Article (Scientific journals)
Forecasting share redemption suspensions and net asset value decreases of open-end real estate funds: The role of investment ratings
KASPEREIT, Thomas
2025In Schmalenbach Journal of Business Research
Peer reviewed
 

Files


Full Text
Schmalenbach Journal of Business Research.pdf
Author postprint (1.7 MB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Investment ratings; German open-end real estate funds; Share redemption suspensions
Abstract :
[en] In this paper, models are built and evaluated to forecast the share redemption suspensions and net asset value decreases of German open-end real estate funds. These models emphasize the potential role of qualitative investment ratings in the above two aspects. The results reveal that better ratings correlate with a lower likelihood of future redemption suspensions and net asset value decreases. When ratings are included in the forecasting models, the out-of-sample forecast quality is enhanced. By extending the analysis to latent redemption suspensions from July 2016 to June 2024, when real redemption suspensions were unobservable due to unusually favorable interest rate momentum and a regulatory regime shift toward a minimum holding period, this paper makes an important practical contribution by providing estimates of redemption suspension probabilities.
Disciplines :
Accounting & auditing
Author, co-author :
KASPEREIT, Thomas ;  University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA)
External co-authors :
no
Language :
English
Title :
Forecasting share redemption suspensions and net asset value decreases of open-end real estate funds: The role of investment ratings
Publication date :
25 March 2025
Journal title :
Schmalenbach Journal of Business Research
eISSN :
2366-6153
Publisher :
Springer Nature, Heidelberg, Unknown/unspecified
Peer reviewed :
Peer reviewed
Focus Area :
Finance
Available on ORBilu :
since 21 September 2016

Statistics


Number of views
644 (31 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
0
Scopus citations®
without self-citations
0
OpenCitations
 
0
OpenAlex citations
 
0

Bibliography


Similar publications



Contact ORBilu