🌙

量化大宗商品与加密货币间的溢出效应与关联性:基于分位数VAR分析的证据

Quantifying spillovers and connectedness among commodities and cryptocurrencies: Evidence from a Quantile-VAR analysis

Journal of Commodity Markets · 2024
被引 35 · 同刊同年前 5%
ABS 3

中文导读

使用分位数VAR方法研究贵金属、工业金属、石油、天然气与比特币在2015至2022年间的动态关联,发现极端分位数下关联性更强,铜是最大溢出源,而黄金、铝表现混合,石油、天然气和比特币为净接收者。

Abstract

This study examines dynamic connectedness linkages between precious metals, manufacturing metals, oil, natural gas, and Bitcoin. The Quantile-VAR methodology is utilised to identify causal spillovers from 2015 through 2022, where results demonstrate significantly stronger pairwise connectedness at extreme quantiles, where the gold-silver and copper-oil pairs exhibit the strongest linkages. Additionally, the overall dynamic connectedness is higher at the lowest and highest quantiles, particularly reinforced during inflationary periods. Copper is identified as the strongest generator of spillovers, followed by silver, nickel, and zinc. There are mixed findings when analysing gold and aluminium, whereas oil, natural gas, and Bitcoin are identified as net receivers. This study provides insight into commodities and cryptocurrency markets’ diversifying and hedging abilities during alternative economic and financial conditions.

金融经济学大宗商品加密货币分位数回归溢出效应