An Analysis of the Probability of Default for Non-Financial Public Companies in Asia’s Emerging, Developed and Frontier Countries

Arina Nada Kentjana, Z. Husodo
{"title":"An Analysis of the Probability of Default for Non-Financial Public Companies in Asia’s Emerging, Developed and Frontier Countries","authors":"Arina Nada Kentjana, Z. Husodo","doi":"10.2991/aebmr.k.201222.016","DOIUrl":null,"url":null,"abstract":"This research presents the probability of default profiles of non-financial public companies in Asia’s market. Investors may need to monitor the market which they want to invest in. In this case, the probability of default is used to represent the financial condition. Using the Merton model as a structural approach method, financial reports data and market capitalization are employed to provide the probability of default of respective companies. The market was then classified further into three categories: developed market, emerging market, and frontier market. The probability of default profiles between those three categories was compared in this research. This study reveals that countries in the developed market and emerging market do not have significant differences, while the liquidity of those three financial markets are significantly different. It indicates that the Merton model does not capture the liquidity of the financial market properly, which results in a low probability of default in the frontier market. These findings can be considered by investors in their decision making in this globalization era.","PeriodicalId":225669,"journal":{"name":"Proceedings of the International Conference on Business and Management Research (ICBMR 2020)","volume":"47 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Business and Management Research (ICBMR 2020)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/aebmr.k.201222.016","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 the probability of default profiles of non-financial public companies in Asia’s market. Investors may need to monitor the market which they want to invest in. In this case, the probability of default is used to represent the financial condition. Using the Merton model as a structural approach method, financial reports data and market capitalization are employed to provide the probability of default of respective companies. The market was then classified further into three categories: developed market, emerging market, and frontier market. The probability of default profiles between those three categories was compared in this research. This study reveals that countries in the developed market and emerging market do not have significant differences, while the liquidity of those three financial markets are significantly different. It indicates that the Merton model does not capture the liquidity of the financial market properly, which results in a low probability of default in the frontier market. These findings can be considered by investors in their decision making in this globalization era.
亚洲新兴、发达和前沿国家非金融上市公司违约概率分析
本研究提出了亚洲市场非金融上市公司违约概况的概率。投资者可能需要监控他们想要投资的市场。在这种情况下,使用违约概率来表示财务状况。采用Merton模型作为结构分析方法,利用财务报告数据和市值来提供各自公司的违约概率。然后将市场进一步分为三类:发达市场、新兴市场和前沿市场。本研究比较了这三类之间的默认配置文件的概率。本研究发现,发达市场国家和新兴市场国家的流动性不存在显著差异,但三个金融市场的流动性存在显著差异。这表明Merton模型没有很好地反映金融市场的流动性,导致前沿市场违约的概率较低。这些发现可以为投资者在全球化时代的决策提供参考。
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:604180095
Book学术官方微信