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Foreclosure of Securitized Commercial Mortgages - A Model of the Special Servicer

dc.contributor.authorLiu, Peng
dc.contributor.authorQuan, Daniel
dc.date.accessioned2020-09-12T21:13:56Z
dc.date.available2020-09-12T21:13:56Z
dc.date.issued2011-11-14
dc.description.abstractThe decision to foreclose on a CMBS mortgage is made by the special servicer. A mortgage loan is in special servicing when it is either delinquent or in a state of imminent default. A special servicer should represent the interests of the underlying CMBS bondholders by returning the highest possible value to the investors. In this paper, we show that a special servicer's compensation structure results in an incentive for her to extend a loan beyond the time desired by its bondholders. We develop a model and demonstrate how compensation incentives interact and influence a special servicer's foreclosure decisions. Our model takes into consideration the dynamic nature of such a decision by viewing is as a dynamic programming problem whereby foreclosure represents a discrete terminal state of an optimal stopping problem. This model thus captures the trade-off between continuation of a loan and termination and we use this model to determine how the stopping rule changes under various compensation structures.
dc.description.legacydownloadsPl4_Foreclosure.pdf: 63 downloads, before Aug. 1, 2020.
dc.identifier.other10500988
dc.identifier.urihttps://hdl.handle.net/1813/72443
dc.language.isoen_US
dc.relation.doihttps://doi.org/10.1007/s11146-011-9337-9
dc.rightsRequired Publisher Statement: © Springer. Final version published as: Liu, P., & Quan, D. (2013). Foreclosure of securitized commercial mortgages - a model of the special servicer. Journal of Real Estate Finance and Economics, 46(2), 321–338. Reprinted with permission. All rights reserved.
dc.subjectCMBS
dc.subjectspecial servicer
dc.subjectforeclosure
dc.subjectoptimal contract design
dc.subjectfirst-loss bond
dc.titleForeclosure of Securitized Commercial Mortgages - A Model of the Special Servicer
dc.typearticle
local.authorAffiliationLiu, Peng: pl333@cornell.edu Cornell University School of Hotel Administration
local.authorAffiliationQuan, Daniel: dq22@cornell.edu Cornell University

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