用原油波动指数分散原油价格风险:波动率的作用

IF 3.7 4区 经济学 Q1 BUSINESS, FINANCE Journal of Commodity Markets Pub Date : 2024-08-23 DOI:10.1016/j.jcomm.2024.100425
Leon Li , Peter Miu
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引用次数: 0

摘要

为了了解原油波动性的多样化优势,我们研究了原油市场中波动率(VOL)和波动性的波动率(VOV)相互作用下的收益率-波动率关系。我们为原油价格和原油波动率指数(OVX)收益率建立了一个新的实证模型,该模型包含了时变和状态依赖的方差和相关性,从而使我们能够识别出 VOL 和 VOV 的不同市场制度。我们发现,收益率-波动率关系的行为取决于当前的 VOV 体系。具体而言,在低(高)VOV 体系中,随着 VOL 的增加,这种关系会变得更小(更大)。因此,这些实证结果表明,原油波动带来的多样化收益在不同的市场状态下并不一致。最后,利用我们提出的实证模型,我们证明了在投资组合风险预测和构建中认识到时变和状态相关方差/相关性的经济意义。
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Diversifying crude oil price risk with crude oil volatility index: The role of volatility-of-volatility

To understand the diversification benefit of crude oil volatility, we examine the return-volatility relation in the crude oil market, given the interaction of the volatility (VOL) and the volatility-of-volatility (VOV). We develop a novel empirical model of the crude oil price and crude oil volatility index (OVX) returns incorporating both time-varying and state-dependent variances and correlations, thus allowing us to identify distinct market regimes of VOL and VOV. We find that the behavior of the return-volatility relation is contingent on the prevailing VOV regimes. Specifically, in a low (high) VOV regime, the relation becomes less (more) negative as VOL increases. These empirical results therefore imply that the diversification benefit of crude oil volatility is far from uniform across the different market states. Finally, using our proposed empirical model, we demonstrate the economic significance of recognizing both the time-varying and state-dependent variances/correlations in portfolio risk forecasting and construction.

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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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