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  1. Information diffusion and spillover dynamics in renewable energy markets
    Author: Cedic, Samir; Mahmoud, Alwan; Manera, Matteo; Uddin, Mohammed Gazi Salah
    Published: April 2021
    Publisher:  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... more

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

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 125
    Inter-library loan:
    No inter-library loan

     

    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.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/233095
    Series: Working paper / Fondazione Eni Enrico Mattei ; 2021, 010
    Subjects: Electricity Access; Energy Demand; Rural Development; Bottom-up Modelling; Sub-Saharan Africa; Multi-sectoral Approach; Water-Energy-Food-Environment Nexus
    Scope: 1 Online-Ressource (circa 39 Seiten), Illustrationen
  2. Uncertainty and stock returns in energy markets: a quantile regression approach
    Author: Cedic, Samir; Mahmoud, Alwan; Manera, Matteo; Uddin, Mohammed Gazi Salah
    Published: April 2021
    Publisher:  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... more

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

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 125
    Inter-library loan:
    No inter-library loan

     

    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 to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/233096
    Series: Working paper / Fondazione Eni Enrico Mattei ; 2021, 011
    Subjects: Uncertainty; Macroeconomic Conditions; Renewable Energy; Stock Returns; Quantile Regression
    Scope: 1 Online-Ressource (circa 27 Seiten), Illustrationen