投资公司债券信用风险评价

H. Tsuda, Masakazu Ando
{"title":"投资公司债券信用风险评价","authors":"H. Tsuda, Masakazu Ando","doi":"10.1109/IWCIA.2013.6624811","DOIUrl":null,"url":null,"abstract":"In the present study, we use the concept of the straight coupon bond pricing model proposed by Tsuda (2006) to estimate a price evaluation model for investment corporation bonds: bonds issued by investment corporations for the purpose of raising funds. This model obtains credit risk information, such as default probability, from the market prices of bonds. The model simultaneously estimates implied default probability and recovery rate through comparison of the price fluctuation structure of issues. The market value of properties poses a problem since, as a general rule, real estate has low liquidity and transaction prices are not published. However, because investment corporations that issue investment corporation bonds proactively disclose information (property acquisition prices, NOI, etc.) about owned properties that serve as collateral assets, we can estimate the recovery rate from this information. Then, from market price data for investment corporation bonds, we can obtain new information, including the term structure of default probability for each bond rating and the validity of the pricing model.","PeriodicalId":257474,"journal":{"name":"2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Credit risk evaluation of investment corporation bonds\",\"authors\":\"H. Tsuda, Masakazu Ando\",\"doi\":\"10.1109/IWCIA.2013.6624811\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present study, we use the concept of the straight coupon bond pricing model proposed by Tsuda (2006) to estimate a price evaluation model for investment corporation bonds: bonds issued by investment corporations for the purpose of raising funds. This model obtains credit risk information, such as default probability, from the market prices of bonds. The model simultaneously estimates implied default probability and recovery rate through comparison of the price fluctuation structure of issues. The market value of properties poses a problem since, as a general rule, real estate has low liquidity and transaction prices are not published. However, because investment corporations that issue investment corporation bonds proactively disclose information (property acquisition prices, NOI, etc.) about owned properties that serve as collateral assets, we can estimate the recovery rate from this information. Then, from market price data for investment corporation bonds, we can obtain new information, including the term structure of default probability for each bond rating and the validity of the pricing model.\",\"PeriodicalId\":257474,\"journal\":{\"name\":\"2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWCIA.2013.6624811\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 6th International Workshop on Computational Intelligence and Applications (IWCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWCIA.2013.6624811","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在本研究中,我们使用Tsuda(2006)提出的直息债券定价模型的概念来估计投资公司债券的价格评估模型:投资公司以筹集资金为目的发行的债券。该模型从债券的市场价格中获取违约概率等信用风险信息。该模型通过对债券价格波动结构的比较,同时估计出隐含违约概率和回收率。房地产的市场价值构成了一个问题,因为作为一般规则,房地产流动性低,交易价格不公布。然而,由于发行投资公司债券的投资公司主动披露了作为抵押资产的自有房产的信息(房产收购价格、NOI等),我们可以从这些信息中估计回收率。然后,从投资公司债券的市场价格数据中,我们可以得到新的信息,包括各债券评级违约概率的期限结构和定价模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Credit risk evaluation of investment corporation bonds
In the present study, we use the concept of the straight coupon bond pricing model proposed by Tsuda (2006) to estimate a price evaluation model for investment corporation bonds: bonds issued by investment corporations for the purpose of raising funds. This model obtains credit risk information, such as default probability, from the market prices of bonds. The model simultaneously estimates implied default probability and recovery rate through comparison of the price fluctuation structure of issues. The market value of properties poses a problem since, as a general rule, real estate has low liquidity and transaction prices are not published. However, because investment corporations that issue investment corporation bonds proactively disclose information (property acquisition prices, NOI, etc.) about owned properties that serve as collateral assets, we can estimate the recovery rate from this information. Then, from market price data for investment corporation bonds, we can obtain new information, including the term structure of default probability for each bond rating and the validity of the pricing model.
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