Early market efficiency testing among hydrogen players
Date
2022-11-01Author
Estado
info:eu-repo/semantics/publishedVersionMetadata
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We study the stock price efficiency of companies with exposure to the hydrogen economy. As hydrogen, a pillar of the energy transition required for the global society to achieve the Sustainable Development Goals for 2030, does not trade as a commodity, we use the Solactive Hydrogen Index NTR as a proxy. Efficiency is assessed through a fractal methodology, with data from November 2018 to June 2021. Additionally, we run a time-varying approach that improves the robustness of the efficiency estimates. We find random price behavior consistent with the weak version of the market efficiency hypothesis, with only slight departures from efficiency in some companies with higher hydrogen exposure. There is also evidence of time-varying behavior of randomness during the acute pandemic period. The study validates the Solactive Hydrogen Index as an adequate proxy for the hydrogen economy. We study the stock price efficiency of companies with exposure to the hydrogen economy. As hydrogen, a pillar of the energy transition required for the global society to achieve the Sustainable Development Goals for 2030, does not trade as a commodity, we use the Solactive Hydrogen Index NTR as a proxy. Efficiency is assessed through a fractal methodology, with data from November 2018 to June 2021. Additionally, we run a time-varying approach that improves the robustness of the efficiency estimates. We find random price behavior consistent with the weak version of the market efficiency hypothesis, with only slight departures from efficiency in some companies with higher hydrogen exposure. There is also evidence of time-varying behavior of randomness during the acute pandemic period. The study validates the Solactive Hydrogen Index as an adequate proxy for the hydrogen economy.
Early market efficiency testing among hydrogen players
Tipo de Actividad
Artículos en revistasCréditos
3.0ISSN
1059-0560Materias/ categorías / ODS
Instituto de Investigación Tecnológica (IIT) - Innovación docente y Analytics (GIIDA)Palabras Clave
Hydrogen economy; ESG Investment; Efficient market hypothesis; Fractals; Long memory; Time series analysisHydrogen economy; ESG Investment; Efficient market hypothesis; Fractals; Long memory; Time series analysis


