D
David Roubaud
Researcher at University of Montpellier
Publications - 154
Citations - 14389
David Roubaud is an academic researcher from University of Montpellier. The author has contributed to research in topics: Volatility (finance) & Granger causality. The author has an hindex of 46, co-authored 142 publications receiving 8068 citations.
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On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?
TL;DR: This paper used a dynamic conditional correlation model to examine whether Bitcoin can act as a hedge and safe haven for major world stock indices, bonds, oil, gold, the general commodity index and the US dollar index.
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How economic growth, renewable electricity and natural resources contribute to CO2 emissions?
TL;DR: This article explored the relationship between economic growth and CO2 emissions in the so-called European Union 5 (EU-5) countries (Germany, France, Italy, Spain, and the United Kingdom) for the 1985-2016 period.
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Environmental Degradation in France: The Effects of FDI, Financial Development, and Energy Innovations
TL;DR: This article explored the determinants of carbon emissions in France by accounting for the significant role played by foreign direct investment (FDI), financial development, economic growth, energy consumption and energy research innovations in influencing CO2 emissions function.
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Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations
Ana Beatriz Lopes de Sousa Jabbour,Charbel José Chiappetta Jabbour,Moacir Godinho Filho,David Roubaud +3 more
TL;DR: The paper extends the state-of-the-art literature by proposing a pioneering roadmap to enhance the application of CE principles in organisations by means of Industry 4.0 and CE principles based on the most relevant management theories.
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Can volume predict Bitcoin returns and volatility? A quantiles-based approach
TL;DR: In this article, a non-parametric causality-in-quantiles test was employed to analyse the causal relation between trading volume and Bitcoin returns and volatility, over the whole of their respective conditional distributions.