The Pricing of Construction Loans
Su Han Chan (),
Ko Wang () and
Jing Yang ()
Additional contact information
Su Han Chan: Johns Hopkins University
Ko Wang: Johns Hopkins University
Jing Yang: California State University - Fullerton
International Real Estate Review, 2016, vol. 19, issue 4, 411-434
Abstract:
In this study, we use a simple 2-period game theoretic model to determine a mutually acceptable interest rate for a construction loan. This mutually acceptable interest rate is the rate that makes a developer indifferent between using 100% equity financing and a construction loan. It is also the highest interest rate that a developer is willing to pay and a bank is willing to lend. The three risk factors identified in the model are the loss, leverage and first-phase loan ratios. Our analytical and numerical analyses indicate that the derived mutually acceptable interest rate has desirable properties as the rate increases with an increase in the three identified risk factors.
Keywords: Construction Loan; Real Option; Risk Shifting; Interest Rate (search for similar items in EconPapers)
JEL-codes: L85 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.gssinst.org/irer/wp-content/uploads/20 ... nstruction-loans.pdf Full text (application/pdf)
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:ire:issued:v:19:n:04:2016:p:411-434
Ordering information: This journal article can be ordered from
Global Social Science Institute, 9200 Corporate Blvd., Suite 420 Rockville, MD 20850
https://www.gssinst.org/gssinst/index.html
Access Statistics for this article
International Real Estate Review is currently edited by Professor Sing Tien Foo and Professor Ko Wang
More articles in International Real Estate Review from Global Social Science Institute Global Social Science Institute, 9200 Corporate Blvd., Suite 420 Rockville, MD 20850.
Bibliographic data for series maintained by IRER Graduate Assistant/Webmaster ().