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| Content Provider | Springer Nature Link |
|---|---|
| Author | Rokhlin, Dmitry B. |
| Copyright Year | 2013 |
| Abstract | To any utility maximization problem under transaction costs one can assign a frictionless model with a price process S ∗, lying in the bid/ask price interval $[\underline{S}, \overline{S}]$ . Such a process S ∗ is called a shadow price if it provides the same optimal utility value as in the original model with bid-ask spread.We call S ∗ a generalized shadow price if the above property is true for the relaxed utility function in the frictionless model. This relaxation is defined as the lower semicontinuous envelope of the original utility, considered as a function on the set $[\underline{S}, \overline{S}]$ , equipped with some natural weak topology. We prove the existence of a generalized shadow price under rather weak assumptions and mark its relation to a saddle point of the trader/market zero-sum game, determined by the relaxed utility function. The relation of the notion of a shadow price to its generalization is illustrated by several examples. Also, we briefly discuss the interpretation of shadow prices via Lagrange duality. |
| Ending Page | 838 |
| Page Count | 20 |
| Starting Page | 819 |
| File Format | |
| ISSN | 09492984 |
| e-ISSN | 14321122 |
| Journal | Finance and Stochastics |
| Issue Number | 4 |
| Volume Number | 17 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2013-04-19 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Finance/Investment/Banking Portfolio theory Shadow price process Utility maximization Probability Theory and Stochastic Processes Duality Transaction costs Quantitative Finance Saddle point Utility theory for games Statistics for Business/Economics/Mathematical Finance/Insurance Economic Theory Lower semicontinuous envelope Minimax problems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Finance Statistics and Probability Statistics, Probability and Uncertainty |
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