欧洲央行加息对匈牙利银行间同业拆借利率和欧元/匈牙利福林汇率有溢出效应吗?使用 Diebold-Yilmaz 溢出表的五变量 VAR 模型方法

IF 0.9 Q3 BUSINESS, FINANCE
Molnar Albert, Csiszárik-Kocsír Ágnes
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引用次数: 0

摘要

我们打算展示欧洲短期银行间拆借利率(3 个月欧元银行间拆借利率[EURIBOR]和欧元短期利率[ESTR])与匈牙利布达佩斯银行间拆借利率(BUBOR)和欧元-匈牙利福林汇率之间的定向波动溢出效应。为了确定这些变量对彼此波动率的影响程度,我们建立了一个五变量向量自回归(VAR),并像 Diebold-Yilmaz 2012 年的研究一样确定了溢出表。这种方法优于简单的脉冲响应函数(IRF),因为我们可以通过广义预测误差方差分解框架来避免非正交创新的问题。因此,不存在变量排序问题。我们重点关注匈牙利和欧洲短期利率波动加剧的三个事件:2019 年第三季度至第四季度、2020 年第一季度和 2022 年第三季度。这些事件与欧盟市场的波动高峰相对应,在一定程度上对匈牙利银行间利率产生了可衡量的溢出效应。我们发现,在整个 957 个观测样本中,欧洲和匈牙利所有五个变量的波动预测误差方差平均约有 6.3% 来自溢出效应。整个样本的总溢出效应和定向溢出效应都非常低。我们的结论是,欧洲中央银行的意外政策决定对匈牙利银行间利率的影响微乎其微。我们还发现 BUBOR 主要是 MAX 短期政府债券基准溢出效应的净接收者,而不是 EURIBOR--这推翻了我们最初的想法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Do ECB's rate hikes have spillover effects on the Hungarian BUBOR and the EUR/HUF exchange rate? A five-variable VAR model approach using the Diebold-Yilmaz spillover table

Do ECB's rate hikes have spillover effects on the Hungarian BUBOR and the EUR/HUF exchange rate? A five-variable VAR model approach using the Diebold-Yilmaz spillover table

We intend to show the directional volatility spillovers between the European short term interbank lending rates (3-month Euro Interbank Offered Rate [EURIBOR] and Euro Short-Term Rate [ESTR]) and the Hungarian Budapest Interbank Offered Rate (BUBOR) and Euro-Hungarian Forint exchange rate. To determine the extent to which the variables affect each other's volatilities we build a five-variable vector autoregression (VAR) and determine the spillover table like in Diebold-Yilmaz's 2012 work. This methodology is preferred to a simple impulse response function (IRF) because we manage to avoid the problem of non-orthogonal innovations via the generalized forecast error variance decomposition framework. The issue of variable ordering, therefore, does not arise. We focus on three episodes of increased volatility in Hungarian and European short-term interest rates: Q3–Q4 of 2019, Q1 of 2020 and Q3 of 2022. These episodes correspond to volatility spikes in EU markets that to some extent had a measurable spillover effect on Hungarian interbank rates. We find that on average, across the entire sample of 957 observations, about 6.3% of the volatility forecast error variance in all five European and Hungarian variables comes from spillovers. The total and directional spillovers over the sample are extremely low. We conclude that the European Central Bank's surprise policy decisions have a marginal impact on Hungarian interbank rates. We also find that BUBOR is primarily a net receiver of spillovers from the MAX short-term government bond benchmark rather than the EURIBOR—this disproved our initial considerations.

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来源期刊
CiteScore
2.30
自引率
7.10%
发文量
69
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