Please use this identifier to cite or link to this item:
https://doi.org/10.1137/110844179
DC Field | Value | |
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dc.title | Optimal stock selling based on the global maximum | |
dc.contributor.author | Dai, M. | |
dc.contributor.author | Yang, Z. | |
dc.contributor.author | Zhong, Y. | |
dc.date.accessioned | 2014-10-28T02:42:37Z | |
dc.date.available | 2014-10-28T02:42:37Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Dai, M., Yang, Z., Zhong, Y. (2012). Optimal stock selling based on the global maximum. SIAM Journal on Control and Optimization 50 (4) : 1804-1822. ScholarBank@NUS Repository. https://doi.org/10.1137/110844179 | |
dc.identifier.issn | 03630129 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/103878 | |
dc.description.abstract | We aim to determine an optimal stock selling time to minimize the expectation of the square error between the selling price and the global maximum price over a given period. Assuming that stock price follows the geometric Brownian motion, we formulate the problem as an optimal stopping time problem or, equivalently, a variational inequality problem. We provide a partial differential equation (PDE) approach to characterize the resulting free boundary that corresponds to the optimal selling strategy. The monotonicity and smoothness of the free boundary are addressed as well. © 2012 Society for Industrial and Applied Mathematics. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1137/110844179 | |
dc.source | Scopus | |
dc.subject | Global maximum | |
dc.subject | Optimal selling strategy | |
dc.subject | Square error | |
dc.subject | Variational inequality | |
dc.type | Article | |
dc.contributor.department | MATHEMATICS | |
dc.description.doi | 10.1137/110844179 | |
dc.description.sourcetitle | SIAM Journal on Control and Optimization | |
dc.description.volume | 50 | |
dc.description.issue | 4 | |
dc.description.page | 1804-1822 | |
dc.description.coden | SJCOD | |
dc.identifier.isiut | 000309999000004 | |
Appears in Collections: | Staff Publications |
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