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  1. Information diffusion and spillover dynamics in renewable energy markets
    Autor*in: Cedic, Samir; Mahmoud, Alwan; Manera, Matteo; Uddin, Mohammed Gazi Salah
    Erschienen: April 2021
    Verlag:  Fondazione Eni Enrico Mattei, Milano, Italia

    This paper examines capacity-constrained oligopoly pricing with sellers who seek myopic improvements. We employ the Myopic Stable Set stability concept and establish the existence of a unique pure-strategy price solution for any given level of... mehr

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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 125
    Fernleihe:
    keine Fernleihe

     

    This paper examines capacity-constrained oligopoly pricing with sellers who seek myopic improvements. We employ the Myopic Stable Set stability concept and establish the existence of a unique pure-strategy price solution for any given level of capacity. This solution is shown to coincide with the set of pure-strategy Nash equilibria when capacities are large or small. For an intermediate range of capacities, it predicts a price interval that includes the mixed-strategy support. This stability concept thus encompasses all Nash equilibria and offers a pure-strategy solution when there is none in Nash terms. In particular, it provides a behavioral rationale for different types of pricing dynamics, including real-world economic phenomena such as Edgeworth-like price cycles, price dispersion and supply shortages.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/233095
    Schriftenreihe: Working paper / Fondazione Eni Enrico Mattei ; 2021, 010
    Schlagworte: Electricity Access; Energy Demand; Rural Development; Bottom-up Modelling; Sub-Saharan Africa; Multi-sectoral Approach; Water-Energy-Food-Environment Nexus
    Umfang: 1 Online-Ressource (circa 39 Seiten), Illustrationen
  2. Uncertainty and stock returns in energy markets: a quantile regression approach
    Autor*in: Cedic, Samir; Mahmoud, Alwan; Manera, Matteo; Uddin, Mohammed Gazi Salah
    Erschienen: April 2021
    Verlag:  Fondazione Eni Enrico Mattei, Milano, Italia

    The aim of this paper is to analyze the relationship between different types of uncertainty and stock returns of the renewable energy and the oil & gas sectors. We use the quantile regression approach developed by Koenker and d'Orey (1987; 1994) to... mehr

    Zugang:
    Verlag (kostenfrei)
    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 125
    Fernleihe:
    keine Fernleihe

     

    The aim of this paper is to analyze the relationship between different types of uncertainty and stock returns of the renewable energy and the oil & gas sectors. We use the quantile regression approach developed by Koenker and d'Orey (1987; 1994) to assess which uncertainties are the potential drivers of stock returns under different market conditions. We find that the bioenergy and the oil & gas sectors are most sensitive to uncertainties. Both sectors are affected by financial, euro currency, geopolitical and economic policy uncertainties. Our results have several policy implications. Climate policy makers can prioritize policies that support bioenergy in order to reduce the potentially negative effects of uncertainties on bioenergy investment. Investors aiming to diversify their portfolio should be aware that many uncertainties are common drivers of bioenergy and oil & gas returns, the connectedness between assets of these energy types could therefore increase when uncertainty increases.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/233096
    Schriftenreihe: Working paper / Fondazione Eni Enrico Mattei ; 2021, 011
    Schlagworte: Uncertainty; Macroeconomic Conditions; Renewable Energy; Stock Returns; Quantile Regression
    Umfang: 1 Online-Ressource (circa 27 Seiten), Illustrationen