比特币与金融压力指数之间的波动溢出效应

Nur Tuğba, Turhan Korkmaz
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引用次数: 1

摘要

目的:本文旨在检验比特币(BTC)和金融压力指数(FSI)的波动率模型,并检验它们之间的波动率溢出效应。通过获取2011年1月7日至2021年12月24日的每周数据,实现了这一目标。方法:首先,提供了该系列的波动率模型,确定了BTC系列的GARCH(1,1)和FSI系列的IGARC(1,2)为最合适的波动率模型。然后,在IGARCH(1,2)和GARCH(1,1)模型上为每个变量创建剩余波动率序列,用于序列之间的波动率差。用对角VECH GARCH方法检验了序列间的波动差。结果表明,金融服务指数变量对比特币价格存在正的波动溢出效应。然后,对每个变量创建的波动率残差序列进行脉冲响应分析。脉冲响应分析的实证结果支持BTC和FSI系列之间的风险转移。结果与发现:BTC收益序列和FSI序列的变化主要是由自身引起的,且受其冲击影响最大。通过波动性序列的方差分解与分析结果的比较,可以说波动性序列的变化主要是由彼此引起的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Volatility spillover between Bitcoin and financial stress index
Purpose: This paper aims to test the volatility models for Bitcoin (BTC) and the financial stress index (FSI) and examine the volatility spillover among them. This aim was reached by obtaining weekly data from the 7th of January 2011 and the 24th of December 2021.Methodology: First, volatility modelling for the series is provided, and GARCH (1,1) for the BTC series and IGARC (1,2) for the FSI series are determined as the most appropriate volatility models. Then, residual volatility series are created for each variable over the IGARCH (1,2) and GARCH (1,1) models for the volatility spread between the series. The volatility spread between the series is examined with the diagonal VECH GARCH method. It is concluded that there is a positive volatility spillover effect from the FSI variable to the BTC variable. Then, impulse-response analysis is performed on the volatility residual series created for each variable. The empirical findings from impulse response analysis support a risk transfer between BTC and FSI series.Results and Findings: Changes in the BTC return series and FSI series are caused mainly by themselves, and the series are most affected by their shocks. By comparing the variance decomposition of the volatility series with the analysis results, it can be said that the changes in the volatility series are caused mainly by each other.
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