加密货币的不确定性和贵金属期货市场的波动预测

IF 3.7 4区 经济学 Q1 BUSINESS, FINANCE
Yu Wei , Yizhi Wang , Brian M. Lucey , Samuel A. Vigne
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引用次数: 0

摘要

自2008年比特币诞生以来,加密货币和贵金属共有的一些共同财产,如避险、对冲和风险资产多元化,已被广泛讨论。然而,没有研究探讨加密货币市场的不确定性是否有助于解释和预测贵金属市场的波动。通过使用包含加密货币政策和价格不确定性的GARCH-MIDAS模型,以及其他几种常用的不确定性指标,比较了这些不确定性对COMEX金银期货市场波动性预测的样本内影响和样本外预测能力。样本内结果证明了加密货币的不确定性对贵金属期货市场波动性的重大影响,样本外证据进一步证实了加密货币不确定性对贵重金属市场波动性预测的卓越预测能力。通过各种模型评估方法,我们的结论是稳健的,这些方法不仅基于预测误差,还基于不同预测时间范围内的预测方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cryptocurrency uncertainty and volatility forecasting of precious metal futures markets

Several common properties shared by cryptocurrencies and precious metals, such as safe haven, hedge and diversification for risk assets, have been widely discussed since Bitcoin was created in 2008. However, no studies have explored whether cryptocurrency market uncertainties can help to explain and forecast volatilities in precious metal markets. By using the GARCH-MIDAS model incorporating cryptocurrency policy and price uncertainty, as well as several other commonly used uncertainty measures, this paper compares the in-sample impacts and out-of-sample predictive abilities of these uncertainties on volatility forecasts of COMEX gold and silver futures markets. The in-sample results demonstrate the significant impacts of cryptocurrency uncertainty on the volatilities of precious metal futures markets, and the out-of-sample evidence further confirms the superior predictive power of cryptocurrency uncertainty on volatility forecasting of the precious metal market. Our conclusions are robust through various model evaluation approaches based not only on predicting errors but also on forecasting directions across different forecasting time horizons.

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来源期刊
CiteScore
5.70
自引率
2.40%
发文量
53
期刊介绍: The purpose of the journal is also to stimulate international dialog among academics, industry participants, traders, investors, and policymakers with mutual interests in commodity markets. The mandate for the journal is to present ongoing work within commodity economics and finance. Topics can be related to financialization of commodity markets; pricing, hedging, and risk analysis of commodity derivatives; risk premia in commodity markets; real option analysis for commodity project investment and production; portfolio allocation including commodities; forecasting in commodity markets; corporate finance for commodity-exposed corporations; econometric/statistical analysis of commodity markets; organization of commodity markets; regulation of commodity markets; local and global commodity trading; and commodity supply chains. Commodity markets in this context are energy markets (including renewables), metal markets, mineral markets, agricultural markets, livestock and fish markets, markets for weather derivatives, emission markets, shipping markets, water, and related markets. This interdisciplinary and trans-disciplinary journal will cover all commodity markets and is thus relevant for a broad audience. Commodity markets are not only of academic interest but also highly relevant for many practitioners, including asset managers, industrial managers, investment bankers, risk managers, and also policymakers in governments, central banks, and supranational institutions.
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