DETERMINING FACTORS FOR 10-YEAR LOCAL CURRENCY SOVEREIGN BONDS YIELD WITH DYNAMIC REGRESSION MODEL

Dea Avega Editya
{"title":"DETERMINING FACTORS FOR 10-YEAR LOCAL CURRENCY SOVEREIGN BONDS YIELD WITH DYNAMIC REGRESSION MODEL","authors":"Dea Avega Editya","doi":"10.48108/jurnalbppk.v15i1.715","DOIUrl":null,"url":null,"abstract":"Sovereign bonds, particularly Local Currency Bonds (LCB) of 10-year tenure, had a strategic role in economy, thus understanding factors affecting its yield’s movement would help government to maintain economic stability. \nThis paper empirically study Indonesia’s 10-year LCB and its relationship with several factors; US Treasury (UST) yield, credit default swap (CDS), foreign ownership, central bank's policy rate (policy rate), exchange rate, volatility index (VIX) and primary dealers' trading behavior. The relationship was modelled using Dynamic Regression Model (DRM), with ARIMA errors to absorb the dynamics. Evaluation on the model's performance was conducted by making prediction on the real LCB yield’s movement during 2021. \nThe best model containing 10y-UST yield and its lag-1, 5y-CDS and its lag-1, exchange rate, policy rate and ARIMA errors of AR(1) and AR(2) could perform well in predicting the real yield. This study confirmed that 10y-UST and its lag-1 are the main drivers for the LCB yield’s movement, along with compelling influence of the exchange rate.","PeriodicalId":441780,"journal":{"name":"Jurnal BPPK : Badan Pendidikan dan Pelatihan Keuangan","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal BPPK : Badan Pendidikan dan Pelatihan Keuangan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48108/jurnalbppk.v15i1.715","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

Sovereign bonds, particularly Local Currency Bonds (LCB) of 10-year tenure, had a strategic role in economy, thus understanding factors affecting its yield’s movement would help government to maintain economic stability. This paper empirically study Indonesia’s 10-year LCB and its relationship with several factors; US Treasury (UST) yield, credit default swap (CDS), foreign ownership, central bank's policy rate (policy rate), exchange rate, volatility index (VIX) and primary dealers' trading behavior. The relationship was modelled using Dynamic Regression Model (DRM), with ARIMA errors to absorb the dynamics. Evaluation on the model's performance was conducted by making prediction on the real LCB yield’s movement during 2021. The best model containing 10y-UST yield and its lag-1, 5y-CDS and its lag-1, exchange rate, policy rate and ARIMA errors of AR(1) and AR(2) could perform well in predicting the real yield. This study confirmed that 10y-UST and its lag-1 are the main drivers for the LCB yield’s movement, along with compelling influence of the exchange rate.
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
用动态回归模型研究10年期本币主权债券收益率的决定因素
主权债券特别是10年期本币债券在经济中具有战略性作用,了解其收益率变动的影响因素有助于政府维护经济稳定。本文对印尼10年期LCB及其与若干因素的关系进行了实证研究;美国国债(UST)收益率、信用违约互换(CDS)、外资持股、央行政策利率(policy rate)、汇率、波动率指数(VIX)和一级交易商的交易行为。采用动态回归模型(Dynamic Regression Model, DRM)对二者的关系进行建模,并利用ARIMA误差来吸收动态影响。通过对2021年LCB实际收益率变动进行预测,对模型的性能进行评价。最佳模型包含10y-UST收益率及其lag-1、5y-CDS及其lag-1、汇率、政策利率以及AR(1)和AR(2)的ARIMA误差,能够较好地预测实际收益率。本研究证实,10y-UST及其lag-1是LCB收益率变动的主要驱动因素,此外还有汇率的显著影响。
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
自引率
0.00%
发文量
0
期刊最新文献
SKEMA PENGALIHAN KEGIATAN PENGUSAHAAN PERTAMBANGAN BATUBARA DARI PEMEGANG “IUP” KEPADA PIHAK KETIGA PENGGUNAAN KONSEP AVAILABLE TIME, ALLOCATED TIME, DAN ENGAGED TIME UNTUK MENGEVALUASI DESAIN PEMBELAJARAN PERAN PEMANFAATAN DANA BAGI HASIL CUKAI HASIL TEMBAKAU DALAM MENCAPAI TUJUAN PENGENAAN CUKAI DETERMINING FACTORS FOR 10-YEAR LOCAL CURRENCY SOVEREIGN BONDS YIELD WITH DYNAMIC REGRESSION MODEL IMPLEMENTASI COMPLIANCE RISK MANAGEMENT DALAM PENGAWASAN WAJIB PAJAK, STUDI KASUS KPP MADYA MAKASSAR
×
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