Convexity in the flow-performance relationship of traditional asset class mutual funds is widely documented, however it cannot be assumed to hold for alternative asset classes. This paper addresses this shortcoming in the literature by examining the flow-performance relationship for real estate funds, specifically open-end, direct-property funds. This investment vehicle is designed to provide the risk-return benefits of private market real estate and is available to retail investors in many countries across the globe. An understanding of fund flow dynamics associated with this investment vehicle is of particular interest due to the liquidity risk associated with holding an inherently illiquid asset in an open-end structure. Our analysis draws on the theoretical foundations provided in the literature on mutual fund flows, performance chasing, liquidity risk, participation costs and dynamics across market cycles. We focus on German real estate funds from 1990 to 2010 as this is the largest market globally and there is a high level of confidence in the data. The results show that real estate fund investors chase past performance at the aggregate level and the relationship between flows and relative performance is asymmetric (i.e., convex) at the individual fund level. Fund-level liquidity risk tends to weaken convexity, while sensitivity increases with higher participation costs. We find the flow-performance relationship varies across time, though our interpretation is asset and investment vehicle specific. The implications are applicable to investors and fund managers of open-end, direct-property funds and, more broadly, other alternative asset funds where the underlying asset may not be liquid.
The Journal of Real Estate Finance and Economics – Springer Journals
Published: Dec 22, 2015
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera