Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/133651
DC Field | Value | Language |
---|---|---|
dc.contributor | 風管系 | |
dc.creator | 黃泓智 | |
dc.creator | Hong-ChihHuang | |
dc.creator | 李永琮 | |
dc.creator | Yung-TsungLee | |
dc.date | 2020-07 | |
dc.date.accessioned | 2021-01-21T01:45:37Z | - |
dc.date.available | 2021-01-21T01:45:37Z | - |
dc.date.issued | 2021-01-21T01:45:37Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/133651 | - |
dc.description.abstract | This study compares the differences and efficiencies of investment strategies among anticipative and adaptive models using three representative decision approaches: the static approach (SA), semidynamic strategy (or re-assess by static approach, Re-SA), and dynamic programming (DP). We show that each approach has individual merits and weaknesses. A DP strategy may allow for relatively aggressive decisions because of opportunities to adapt the decisions later. However, that strategy may result in a serious downside risk. The suboptimal adaptive strategy, Re-SA, acts as a good proxy for the DP strategy. Therefore, both SA and Re-SA are important tools for addressing asset allocation problems | |
dc.format.extent | 1113789 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.relation | International Review of Economics and Finance, 68, 131-149 | |
dc.subject | Investment strategy;Anticipative model;Adaptive model;Static approach;Dynamic approach | |
dc.title | A Study of the Differences among Representative Investment Strategies | |
dc.type | article | |
dc.identifier.doi | 10.1016/j.iref.2020.03.007 | |
dc.doi.uri | https://doi.org/10.1016/j.iref.2020.03.007 | |
item.fulltext | With Fulltext | - |
item.openairetype | article | - |
item.grantfulltext | restricted | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | 期刊論文 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.