Abstract
We consider a buying-selling problem with a finite time horizon when two stops of a sequence of dependent observations can be made. The aim is to find an optimal sequential procedure which maximizes the total expected revenue. In this paper, we obtain an optimal double stopping rule and apply it for a geometric random walk and an autoregressive sequence.
Original language | English |
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Pages (from-to) | 1-12 |
Number of pages | 12 |
Journal | Methodology and Computing in Applied Probability |
Volume | 22 |
Issue number | 1 |
Early online date | 3 Nov 2018 |
DOIs | |
Publication status | Published - Mar 2020 |
Keywords
- Sequential decision analysis
- Optimal stopping rules
- Buying-selling problem
- Geometric random walk
- Autoregressive sequence