使用 EGARCH、TGARCH 和 APARCH 方法预测印尼盾兑美元汇率的波动性

Made Nonik, Pramesti Karana, Wayan Sumarjaya, Kartika Sari
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引用次数: 0

摘要

汇率在宏观经济变量中发挥着至关重要的作用,对一个国家的经济格局产生着重大影响。这些汇率的波动会影响一个国家的稳定和经济活动。因此,进行预测,尤其是预测印尼盾对外币(重点是美元)的汇率就变得至关重要。金融数据中的某些实例揭示了非对称波动反应,通常被称为杠杆效应。为了应对这一挑战,非对称 GARCH 模型(包括 EGARCH、TGARCH 和 APARCH)被证明是非常有用的。本研究利用 2020 年 3 月 2 日至 2022 年 6 月 2 日印尼盾兑美元汇率的相关数据,努力在 EGARCH、TGARCH 和 APARCH 中找出最有效的模型。研究结果表明,APARCH (1,2) 模型是预测波动性的最佳选择,与同类模型相比,其 AIC 值最小。根据研究结果,波动率从第一天到第十四天呈下降趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PERAMALAN VOLATILITAS RETURN NILAI TUKAR RUPIAH TERHADAP US DOLLAR MENGGUNAKAN METODE EGARCH, TGARCH, DAN APARCH
Exchange rates play a crucial role among macroeconomic variables, exerting a significant influence on a country's economic landscape. Fluctuations in these rates can impact a nation's stability and economic activities. Consequently, it becomes essential to engage in forecasting endeavors, particularly in predicting the exchange rate of the rupiah against foreign currencies, with a focus on the US dollar. Certain instances in financial data reveal an asymmetric volatility response, often referred to as the leverage effect. To address this challenge, asymmetric GARCH models, including EGARCH, TGARCH, and APARCH, prove instrumental. This research endeavors to identify the most effective model among EGARCH, TGARCH, and APARCH using data pertaining to the rupiah's exchange rate against the US Dollar from March 2, 2020, to June 2, 2022. The findings indicate that the APARCH (1,2) model stands out as the optimal choice for predicting volatility, boasting the smallest AIC value in comparison to its counterparts. As per the research outcomes, volatility witnessed a decline from the initial day to the fourteenth day.
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