Signs of Fluctuations in Energy Prices and Energy Stock-Market Volatility in Brazil and in the US

IF 1.1 Q3 ECONOMICS
Gabriel Arquelau Pimenta Rodrigues, André Luiz Marques Serrano, Gabriela Mayumi Saiki, Matheus Noschang de Oliveira, Guilherme Fay Vergara, Pedro Augusto Giacomelli Fernandes, Vinícius Pereira Gonçalves, Clóvis Neumann
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Abstract

Volatility reflects the degree of variation in a time series, and a measurement of the stock performance in the energy sector can help one understand the pattern of fluctuations within this industry, as well as the factors that influence it. One of these factors could be the COVID-19 pandemic, which led to extreme volatility within the stock market in several economic sectors. It is essential to understand this regime of volatility so that robust financial strategies can be adopted to handle it. This study used stock data from the Yahoo! Finance API and data from the energy-price database from the US Energy Information Administration to conduct a comparative analysis of the volatility in the energy sector in Brazil and in the United States, as well as of the energy prices in California. The volatility in these time series were modeled using GARCH. The stock volatility regimes, both before and after COVID-19, were identified with a Markov switching model; the spillover index between the energy markets in the USA and in Brazil was evaluated with the Diebold–Yilmaz index; and the causality between the energy stock price and the energy prices was measured with the Granger causality test. The findings of this study show that (i) the volatility regime introduced by COVID-19 is still prevalent in Brazil and in the USA, (ii) the changes in the energy market in the US affect the Brazilian market significantly more than the reverse, and (iii) there is a causality relationship between the energy stock markets and the energy prices in California. These results may assist in the achievement of effective regulation and economic planning, while also supporting better market interventions. Also, acknowledging the persistent COVID-19-induced volatility can help with developing strategies for future crisis resilience.
巴西和美国能源价格波动和能源股票市场波动的迹象
波动性反映了时间序列的变化程度,对能源行业股票表现的衡量有助于了解该行业的波动模式以及影响因素。其中一个因素可能是 COVID-19 大流行,它导致了多个经济部门股票市场的剧烈波动。了解这种波动机制至关重要,这样才能采取稳健的金融策略来应对这种波动。本研究利用雅虎财经 API 中的股票数据和美国能源信息管理局能源价格数据库中的数据,对巴西和美国能源行业的波动性以及加利福尼亚州的能源价格进行了比较分析。这些时间序列的波动性是用 GARCH 模型计算的。利用马尔可夫转换模型确定了 COVID-19 前后的股票波动机制;利用 Diebold-Yilmaz 指数评估了美国和巴西能源市场之间的溢出指数;利用格兰杰因果检验衡量了能源股票价格和能源价格之间的因果关系。研究结果表明:(i) COVID-19 引入的波动机制在巴西和美国仍然普遍存在;(ii) 美国能源市场的变化对巴西市场的影响明显大于反向影响;(iii) 加利福尼亚州的能源股票市场与能源价格之间存在因果关系。这些结果可能有助于实现有效的监管和经济规划,同时也支持更好的市场干预。此外,认识到 COVID-19 引发的持续波动有助于制定未来的危机抵御战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Econometrics
Econometrics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
2.40
自引率
20.00%
发文量
30
审稿时长
11 weeks
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