悔恨最小化的长期投资管理:养老基金的模板?

D. Edelman, Ekaterina Goryagina
{"title":"悔恨最小化的长期投资管理:养老基金的模板?","authors":"D. Edelman, Ekaterina Goryagina","doi":"10.2139/ssrn.3264720","DOIUrl":null,"url":null,"abstract":"A method of pension portfolio management with Minimax Regret with respect to the best hindsight constant-mix portfolio is presented. This is achieved via a BHCM derivative contract, where several approaches for pricing such a derivative are exhibited. A set of Empirical comparisons with more traditional approaches using data from Germany is presented. For the data examined, the resulting comparison demonstrates a clear superiority of the Minimax-based approach over the traditional from the point of view of both long-term cumulative performance and risk profile as measured chiefly by Drawdown.","PeriodicalId":407792,"journal":{"name":"Pension Risk Management eJournal","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Long-term Investment Management with Minimax Regret: A Template for Pension Funds?\",\"authors\":\"D. Edelman, Ekaterina Goryagina\",\"doi\":\"10.2139/ssrn.3264720\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method of pension portfolio management with Minimax Regret with respect to the best hindsight constant-mix portfolio is presented. This is achieved via a BHCM derivative contract, where several approaches for pricing such a derivative are exhibited. A set of Empirical comparisons with more traditional approaches using data from Germany is presented. For the data examined, the resulting comparison demonstrates a clear superiority of the Minimax-based approach over the traditional from the point of view of both long-term cumulative performance and risk profile as measured chiefly by Drawdown.\",\"PeriodicalId\":407792,\"journal\":{\"name\":\"Pension Risk Management eJournal\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pension Risk Management eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3264720\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pension Risk Management eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3264720","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

针对最佳后见之明不变组合,提出了一种具有最小最大后悔的养老金组合管理方法。这是通过BHCM衍生品合同实现的,其中展示了几种衍生品定价方法。利用德国的数据,提出了一套与更传统方法的实证比较。对于所检查的数据,由此产生的比较表明,从长期累积绩效和主要由Drawdown衡量的风险概况的角度来看,基于minimax的方法明显优于传统方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-term Investment Management with Minimax Regret: A Template for Pension Funds?
A method of pension portfolio management with Minimax Regret with respect to the best hindsight constant-mix portfolio is presented. This is achieved via a BHCM derivative contract, where several approaches for pricing such a derivative are exhibited. A set of Empirical comparisons with more traditional approaches using data from Germany is presented. For the data examined, the resulting comparison demonstrates a clear superiority of the Minimax-based approach over the traditional from the point of view of both long-term cumulative performance and risk profile as measured chiefly by Drawdown.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信