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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Real option valuation with neural networks |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | International Journal of Intelligent Systems in Accounting, Finance |
| Publisher | Wiley-Blackwell Publishing, Inc. |
| Geographical Reach | international |
| ISSN | 1055-615X |
| Volume | 7 |
| Number | 1 |
| Page Range | 43 - 52 |
| Date | 1998 |
| Abstract Text | We propose to use neural networks to value options when analytical solutions do not exist. The basic idea of this approach is to approximate the value function of a dynamic program by a neural net, where the selection of the network weights is done via simulated annealing. The main benefits of this method as compared to traditional approximation techniques are that there are no restrictions on the type of the underlying stochastic process and no limitations on the set of possible actions. This makes our approach especially attractive for valuing Real Options in flexible investments. We, therefore, demonstrate the method proposed by valuing flexibility for costly switch production between several products under various conditions. |
| Digital Object Identifier | 10.1002/(SICI)1099-1174(199803)7:1<43::AID-ISAF128>3.0.CO;2-D |
| Other Identification Number | merlin-id:14217 |
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