ANALYZING COLLATERAL REPO HAIRCUTS IN ASIAN COUNTRIES

Q2 Economics, Econometrics and Finance Buletin Ekonomi Moneter dan Perbankan Pub Date : 2023-01-20 DOI:10.21098/bemp.v25i4.2417
I. Gunadi, Aryo Sasongko, Dian Fitriarni Sari
{"title":"ANALYZING COLLATERAL REPO HAIRCUTS IN ASIAN COUNTRIES","authors":"I. Gunadi, Aryo Sasongko, Dian Fitriarni Sari","doi":"10.21098/bemp.v25i4.2417","DOIUrl":null,"url":null,"abstract":"We study repo haircut determinants and develop the haircut calculation model. Collateral securities are government and corporate fixed-incomes, and we examine the determinants in Indonesia, Malaysia, Thailand, and Hong Kong. Implementing the Generalized AutoRegressive-Conditional Heteroskedasticity (GARCH) process, we find that the changes in long-memory returns, liquidities, and currency influence haircuts. Then, we introduce the haircut model using the historical and parametric Value-at-Risk (VaR), burdening the borrower as much as the α-percentile collateral loss. When borrowers default, lenders get the collaterals and haircuts to compensate for the collateral-price change.","PeriodicalId":36737,"journal":{"name":"Buletin Ekonomi Moneter dan Perbankan","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Buletin Ekonomi Moneter dan Perbankan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21098/bemp.v25i4.2417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

Abstract

We study repo haircut determinants and develop the haircut calculation model. Collateral securities are government and corporate fixed-incomes, and we examine the determinants in Indonesia, Malaysia, Thailand, and Hong Kong. Implementing the Generalized AutoRegressive-Conditional Heteroskedasticity (GARCH) process, we find that the changes in long-memory returns, liquidities, and currency influence haircuts. Then, we introduce the haircut model using the historical and parametric Value-at-Risk (VaR), burdening the borrower as much as the α-percentile collateral loss. When borrowers default, lenders get the collaterals and haircuts to compensate for the collateral-price change.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
分析亚洲国家抵押品回购折价情况
研究了回购削价的决定因素,建立了回购削价的计算模型。担保证券是政府和企业的固定收益,我们考察了印度尼西亚、马来西亚、泰国和香港的决定因素。运用广义自回归-条件异方差(GARCH)过程,我们发现长期记忆收益、流动性和货币的变化会影响减记。然后,我们引入了使用历史和参数风险价值(VaR)的理发模型,使借款人的负担与α-百分位抵押损失相同。当借款人违约时,贷款人获得抵押品和折价,以补偿抵押品价格的变化。
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 去求助
来源期刊
Buletin Ekonomi Moneter dan Perbankan
Buletin Ekonomi Moneter dan Perbankan Economics, Econometrics and Finance-Finance
CiteScore
2.20
自引率
0.00%
发文量
1
审稿时长
5 weeks
期刊最新文献
AN ESTIMATED OPEN-ECONOMY DSGE MODEL FOR THE EVALUATION OF CENTRAL BANK POLICY MIX Optimizing Library Donation Book Display: SMART and WASPAS Comparison RFM Analysis for Customer Lifetime Value with PARETO/NBD Model in Online Retail Dataset Analysis Of Change Rate And Interest Rate Changes To Indonesia’s Trade Balance How Global Value Chains Affect Economic Output and Unemployment: An Empirical Evidence from ASEAN Countries, 1999-2018
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1