Assessing the "Santa Claus" Approach to Asset Allocation: Implications for Commercial Real Estate Investment
Jianping (J.P.) Mei
Additional contact information
Jianping (J.P.) Mei: Department of Finance, Stern School of Business, New York University, 44 West 4th Street, New York, NY 10012-1126, USA
Chapter 7 in Asset Pricing, 2003, pp 155-170 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
AbstractCasual observation suggests the prevalence of a "Santa Claus" approach to fund allocation, that is, giving more money to fund managers whose performance has been "nice" (good) in the recent past and less to those whose performance has been "naughty" (poor). We show that this backward-looking "Santa Claus" approach to asset allocation is not consistent with optimal portfolio management and that this may have contributed to the poor performance of financial institutions' real estate portfolios. We also discuss the role of loan-to-value ratio analysis and point out how this standard bank loan underwriting procedure may have affected commercial banks' "Santa Claus" strategy. We propose that this backward-looking strategy be replaced by either a simple buy-and-hold strategy or a contrarian investment strategy of increasing real estate exposure after a market downturn and reducing exposure after a market rally.
Date: 2003
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789812795618_0007 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789812795618_0007 (text/html)
Ebook Access is available upon purchase.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789812795618_0007
Ordering information: This item can be ordered from
Access Statistics for this chapter
More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().