Econometric Modeling for the Management and Decomposition of Financial Risk

Rolando Rubilar Torrealba, Karime Chahuán Jiménez, Hanns de la Fuente-Mella
{"title":"Econometric Modeling for the Management and Decomposition of Financial Risk","authors":"Rolando Rubilar Torrealba, Karime Chahuán Jiménez, Hanns de la Fuente-Mella","doi":"10.54941/ahfe1001444","DOIUrl":null,"url":null,"abstract":"This research presents a methodological analysis that will allow to actively manage the risk of financial assets, through an understandable study and mix of technical differences used by the financial literature. In this way, the research will allow the delivery of precise information on the risk-generating components of the assets studied. The methodology used corresponds to the wavelet decomposition method, combined with the VaR methodology, which as a whole proves to be an efficient way of controlling the financial risk of the investment portfolios used, thus allowing to identify the main risk generating components to which it is applied. investors and fund managers submit.","PeriodicalId":405313,"journal":{"name":"Artificial Intelligence and Social Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence and Social Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1001444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This research presents a methodological analysis that will allow to actively manage the risk of financial assets, through an understandable study and mix of technical differences used by the financial literature. In this way, the research will allow the delivery of precise information on the risk-generating components of the assets studied. The methodology used corresponds to the wavelet decomposition method, combined with the VaR methodology, which as a whole proves to be an efficient way of controlling the financial risk of the investment portfolios used, thus allowing to identify the main risk generating components to which it is applied. investors and fund managers submit.
金融风险管理与分解的计量经济模型
本研究提出了一种方法分析,通过可理解的研究和金融文献中使用的技术差异的组合,可以积极管理金融资产的风险。通过这种方式,研究将能够提供关于所研究资产中产生风险的组成部分的精确信息。所使用的方法对应于小波分解方法,结合VaR方法,作为一个整体被证明是一种有效的方法来控制所使用的投资组合的财务风险,从而允许识别其应用的主要风险产生组件。投资者和基金经理纷纷表示同意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:481959085
Book学术官方微信