Publications

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The relationship between climate risk, climate policy uncertainty, and CO2 emissions: Empirical evidence from the US

Khaled GUESMI, Spyros Spyrou, Panagiota Makrychoriti

This paper examines the relationship between climate risk and climate policy uncertainty, and CO2 emissions in the US over the 2000–2022 period using a structural Factor- Augmented Vector AutoRegression (FAVAR) model with a two-step principal component analysis based on monthly observations.

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Cold time, cool time? Weather-induced moods and financial risk tolerance: Evidence from a real-world banking context

Francis OSEI-TUTU, Marie-Hélène Broihanne , Hava Orkut
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Color effectiveness. Influence of color and typography of commercial websites on surfurs’ reactions: An experimental study of their interaction effects

Demba Ousmane DIOUF, Jean-François Lemoine
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Cryptocurrency markets, macroeconomic news announcements and energy consumption

Samir SAADI, Waid Ben Omrane, Qianru Qi

Motivated by recent evidence showing that shocks in cryptocurrencies’ trade volume increase their energy consumption and carbon footprint, this study seeks to identify the news-based determinants of the volume and number of trades of Bitcoin and Ethereum.

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Does adhering to the principles of green finance matter for stock valuation? Evidence from testing for (co-) explosiveness

Hatem RJIBA, Tobias Basse, Majdi Karmani, Christoph Wegener

We use a test for co-explosiveness to improve our understanding of the effects of green finance on the valuation of stocks.

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Individualism reduces borrower discouragement

Francis OSEI-TUTU, Laurent Weill
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Patients’ behavioral intentions toward robotic adoption in healthcare: An approach on apprehension of embedding robotics

David KALISZ, Elham KAMANI, Agata SZYRAN-RESIAK

The ubiquitous healthcare sector requires a variegated set of emerging innovations and advanced technologies in the healthcare sector.

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PGP for portfolio optimization: application to ESG index family

Christian UROM, Ilyes Abid

The conventional portfolio design approach assumes Gaussian return distributions, but this is not accurate in practice. Asymmetric and heavy-tailed return distributions necessitate consideration of higher-order moments such as skewness and kurtosis, in addition to mean and variance.

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Sommes-nous plus stressés dans certains types de bureaux ?

Gisele DE CAMPOS RIBEIRO, Delphine Minchella

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