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An analysis of us clean energy indexes risk factors

Authors: Luís, Pedro Manuel Duarte Antunes;

An analysis of us clean energy indexes risk factors

Abstract

Preocupações ambientais juntamente com a crescente importância das energias alternativas na economia mundial estão a mudar os hábitos de consumo energéticos do petróleo, em direção a fontes mais ecológicas. Enquanto é conhecido que, um aumento no preço do petróleo tem um impacto financeiro positivo no preço das ações das energias alternativas, os trabalhos que analisam os fatores de risco das energias alternativas são escassos. Esta tese analisa os fatores de risco de investir em energias alternativas, usando para este propósito, uma regressão com quatro variáveis onde os fatores de risco são preços do petróleo, preços de ações de empresas tecnológicas, S&P 500 e taxas de juro. Devido à sua crescente importância nos mercados, é portanto do interesse dos investidores, empresários e políticos saber quais os riscos deste tipo de investimentos. A matriz de correlação indica que as empresas de energias alternativas são mais influenciadas pelo retorno de empresas tecnológicas do que pelas alterações dos preços do petróleo. A análise da regressão estatística demonstra que os preços do petróleo, as cotações das ações das empresas de tecnologia, as taxas de juro e o S&P 500 tem algum poder relativo na explicação das alterações das cotações das ações das empresas de energia alternativa. A regressão mostra ainda que, as alterações do preço das ações das empresas tecnológicas têm maior importância na explicação dos movimentos dos preços das ações das empresas de energia alternativa do que as oscilações do preço do petróleo, devido à forma como os investidores poderão ver as empresas de energia alternativa semelhantes às empresas tecnológicas.

Environmental concerns coupled with the increasingly importance of the alternative energies in the world economy are moving the energy consumption from oil, towards more environmental friendly sources. Whereas it is commonly known that, an increase oil price has a good financial impact on alternative energy stock prices, the works that analyzes the alternative energy risk factors are scarce. This thesis analyzes the risk factors of investing in alternative energies, using for this purpose, a four variable regression where the factors are oil prices, technology stock prices, S&P 500 and interest rates. Due to their growing importance in markets, it is of interest of investors, managers and policy makers to know the risks of this kind of investments. The correlation matrix show that clean energy companies are more influenced by technology companies returns than with oil prices movements. The regression analysis show that oil prices, technology stock prices, risk free rate and the S&P 500 have some relative strength in explaining clean energy stock price movements. In addition, it also demonstrates that technology stock price movements are more important to explain alternative energy stock price movements than oil price movements because investors may see alternative energy companies similar to technology companies.

Country
Portugal
Keywords

Preço do petróleo, Oil prices, Domínio/Área Científica::Ciências Sociais::Economia e Gestão, Q42, Risk factors, Fatores de risco, Q43, Preço das ações, Energia alternativa, Clean energy, Stock prices, Q Agricultural and natural resource economics - Environmental and ecological economics, :Ciências Sociais::Economia e Gestão [Domínio/Área Científica]

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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