Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93897
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Title: Optimal redeeming strategy of stock loans under drift uncertainty
Authors: Xu, ZQ 
Yi, F
Issue Date: Feb-2020
Source: Mathematics of operations research, Feb. 2020, v. 45, no. 1, p. 384-401
Abstract: In practice, one must recognize the inevitable incompleteness of information while making decisions. In this paper, we consider the optimal redeeming problem of stock loans under a state of incomplete information presented by the uncertainty in the (bull or bear) trends of the underlying stock. This is called drift uncertainty. Owing to the unavoidable need for the estimation of trends while making decisions, the related Hamilton–Jacobi–Bellman equation turns out to be of a degenerate parabolic type. Hence, it is very hard to obtain its regularity using the standard approach, making the problem different from the existing optimal redeeming problems without drift uncertainty. We present a thorough and delicate probabilistic and functional analysis to obtain the regularity of the value function and the optimal redeeming strategies. The optimal redeeming strategies of stock loans appear significantly different in the bull and bear trends.
Keywords: Bull and bear trends
Degenerate parabolic variational inequality
Drift uncertainty
Optimal stopping
Stock loan
Publisher: Institute for Operations Research and the Management Sciences
Journal: Mathematics of operations research 
ISSN: 0364-765X
EISSN: 1526-5471
DOI: 10.1287/MOOR.2019.0995
Rights: Copyright:© 2019 INFORMS
This is the accepted manuscript of the following article: Xu, Z. Q., & Yi, F. (2020). Optimal redeeming strategy of stock loans under drift uncertainty. Mathematics of Operations Research, 45(1), 384-401, which has been published in final form at https://doi.org/10.1287/MOOR.2019.0995
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