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Asymmetric pass-through between oil prices and the stock prices of clean energy firms: New evidence from a nonlinear analysis

机译:石油价格与清洁能源公司的股价之间的不对称传递:来自非线性分析的新证据

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摘要

There is an ongoing debate on how oil prices affect the stock prices of clean energy companies. We contribute to this debate by questioning the possibility of asymmetric linkages between oil prices, interest rates, and the stock prices of clean energy and technology firms. Using a recently developed approach (nonlinear auto-regressive distributed lag (NARDL) model), we document that ignoring the presence of nonlinearities leads to misleading results. The analyses reveal significant asymmetric effects among the variables of interest. Our findings suggest that the impacts of positive and negative changes in the oil prices, interest rates and technology stock prices on clean energy stock prices substantially vary in the short-and long-run. More specifically, our results point out that the increased investments in clean energy stocks appear to be due to speculative attacks along with an increase in oil prices in the short-run. But, in the long-run, the increased oil price has a negative impact on clean energy stock prices and this impact is asymmetric. Last but not least, the results also emphasize the importance of business cycle fluctuations for the clean energy stock performance in the long-run. The implications of this paper are noteworthy for energy economists, policymakers, and investors in the energy and financial markets.
机译:关于油价如何影响清洁能源公司股价的争论一直在进行。通过质疑石油价格,利率以及清洁能源和技术公司的股票价格之间的不对称联系的可能性,我们为这场辩论做出了贡献。使用最近开发的方法(非线性自回归分布滞后(NARDL)模型),我们记录了忽略非线性的存在会导致误导的结果。分析表明,感兴趣的变量之间存在明显的不对称效应。我们的发现表明,短期和长期内,石油价格,利率和技术股票价格的正负变化对清洁能源股票价格的影响都存在很大差异。更具体地说,我们的结果指出,清洁能源股票投资的增加似乎是由于投机性攻击以及短期内石油价格上涨所致。但是,从长期来看,石油价格上涨对清洁能源股票价格产生负面影响,而且这种影响是不对称的。最后但并非最不重要的一点是,结果还强调了商业周期波动对长期清洁能源存量绩效的重要性。对于能源经济学家,政策制定者以及能源和金融市场的投资者而言,本文的意义是值得注意的。

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