资产危机识别的阶段模型

V. Ivanyuk
{"title":"资产危机识别的阶段模型","authors":"V. Ivanyuk","doi":"10.5937/SPSUNP1901055I","DOIUrl":null,"url":null,"abstract":"The study is devoted to an econometric model development for the asset crises identification. Unlike the classical approach, the economic crisis is considered not as a one-time state (for example, the point of bifurcation in Krugman's equilibrium crisis model or the market oversaturation moment in Marx's theory), but as a process that continues in time. A method for crisis initial phase early identification is developed. To identify a systemic crisis, an ANOVA based indicator is proposed.","PeriodicalId":394770,"journal":{"name":"Scientific Publications of the State University of Novi Pazar Series A: Applied Mathematics, Informatics and mechanics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Phase model of asset crises identification\",\"authors\":\"V. Ivanyuk\",\"doi\":\"10.5937/SPSUNP1901055I\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study is devoted to an econometric model development for the asset crises identification. Unlike the classical approach, the economic crisis is considered not as a one-time state (for example, the point of bifurcation in Krugman's equilibrium crisis model or the market oversaturation moment in Marx's theory), but as a process that continues in time. A method for crisis initial phase early identification is developed. To identify a systemic crisis, an ANOVA based indicator is proposed.\",\"PeriodicalId\":394770,\"journal\":{\"name\":\"Scientific Publications of the State University of Novi Pazar Series A: Applied Mathematics, Informatics and mechanics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Publications of the State University of Novi Pazar Series A: Applied Mathematics, Informatics and mechanics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5937/SPSUNP1901055I\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Publications of the State University of Novi Pazar Series A: Applied Mathematics, Informatics and mechanics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5937/SPSUNP1901055I","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

本文研究了资产危机识别的计量经济模型。与经典方法不同,经济危机不被认为是一次性的状态(例如,克鲁格曼均衡危机模型中的分岔点或马克思理论中的市场过饱和时刻),而是作为一个持续的过程。提出了一种危机初期早期识别方法。为了识别系统性危机,提出了一个基于方差分析的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phase model of asset crises identification
The study is devoted to an econometric model development for the asset crises identification. Unlike the classical approach, the economic crisis is considered not as a one-time state (for example, the point of bifurcation in Krugman's equilibrium crisis model or the market oversaturation moment in Marx's theory), but as a process that continues in time. A method for crisis initial phase early identification is developed. To identify a systemic crisis, an ANOVA based indicator is proposed.
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:481959085
Book学术官方微信