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

Dea Avega Editya
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引用次数: 0

摘要

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