Articles producció científica> Economia

Long-memory and volatility spillovers across petroleum futures

  • Identification data

    Identifier: imarina:9243282
    Authors:
    Lovcha YPerez-Laborda A
    Abstract:
    Return volatility usually presents a degree of persistence, which, although still consistent with an essential stationary process, cannot be adequately captured by standard autoregressive specifications. In this study, we examine the transmission mechanism across petroleum volatilities accounting for this stylized fact. To do so, we compute both time and frequency domain measures of connectedness based on variance decompositions from a fractionally integrated VAR (FIVAR). Our main findings summarize: (1) there is strong evidence of long-memory in petroleum volatilities, but no evidence of infinite variances; (2) an adequate quantification of spillovers must consider long-memory persistence explicitly; (3) spillovers are relatively high, but considerably lower than predicted in the traditional short-memory framework, especially at low frequencies. Thus, accounting for long-memory has asymmetric implications for different market participants.
  • Others:

    Author, as appears in the article.: Lovcha Y; Perez-Laborda A
    Department: Economia
    URV's Author/s: Lovcha Lovcha, Yuliya / Perez Laborda, Alejandro
    Keywords: Stock markets evidence Persistence Oil Frequency domain Diebold-yilmaz Connectedness time-series range-based estimation price persistence oil natural-gas frequency dynamics frequency domain energy markets diebold-yilmaz crude-oil connectedness clean energy
    Abstract: Return volatility usually presents a degree of persistence, which, although still consistent with an essential stationary process, cannot be adequately captured by standard autoregressive specifications. In this study, we examine the transmission mechanism across petroleum volatilities accounting for this stylized fact. To do so, we compute both time and frequency domain measures of connectedness based on variance decompositions from a fractionally integrated VAR (FIVAR). Our main findings summarize: (1) there is strong evidence of long-memory in petroleum volatilities, but no evidence of infinite variances; (2) an adequate quantification of spillovers must consider long-memory persistence explicitly; (3) spillovers are relatively high, but considerably lower than predicted in the traditional short-memory framework, especially at low frequencies. Thus, accounting for long-memory has asymmetric implications for different market participants.
    Thematic Areas: Thermodynamics Renewable energy, sustainability and the environment Química Pollution Modeling and simulation Medicina iii Medicina ii Mechanical engineering Materiais Management, monitoring, policy and law Interdisciplinar Industrial and manufacturing engineering Geografía Geociências General energy Fuel technology Engineering, chemical Engenharias iv Engenharias iii Engenharias ii Engenharias i Energy engineering and power technology Energy (miscellaneous) Energy (all) Energy & fuels Electrical and electronic engineering Economia Civil and structural engineering Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Building and construction Biotecnología Biodiversidade Administração pública e de empresas, ciências contábeis e turismo
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: yuliya.lovcha@urv.cat alejandro.perez@urv.cat
    Author identifier: 0000-0002-0481-7785 0000-0003-4247-598X
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/pii/S0360544221031996
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Energy. 243
    APA: Lovcha Y; Perez-Laborda A (2022). Long-memory and volatility spillovers across petroleum futures. Energy, 243(), -. DOI: 10.1016/j.energy.2021.122950
    Article's DOI: 10.1016/j.energy.2021.122950
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Building and Construction,Civil and Structural Engineering,Electrical and Electronic Engineering,Energy & Fuels,Energy (Miscellaneous),Energy Engineering and Power Technology,Engineering, Chemical,Fuel Technology,Industrial and Manufacturing Engineering,Management, Monitoring, Policy and Law,Mechanical Engineering,Modeling and Simulation,P
    Stock markets evidence
    Persistence
    Oil
    Frequency domain
    Diebold-yilmaz
    Connectedness
    time-series
    range-based estimation
    price
    persistence
    oil
    natural-gas
    frequency dynamics
    frequency domain
    energy markets
    diebold-yilmaz
    crude-oil
    connectedness
    clean energy
    Thermodynamics
    Renewable energy, sustainability and the environment
    Química
    Pollution
    Modeling and simulation
    Medicina iii
    Medicina ii
    Mechanical engineering
    Materiais
    Management, monitoring, policy and law
    Interdisciplinar
    Industrial and manufacturing engineering
    Geografía
    Geociências
    General energy
    Fuel technology
    Engineering, chemical
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Energy engineering and power technology
    Energy (miscellaneous)
    Energy (all)
    Energy & fuels
    Electrical and electronic engineering
    Economia
    Civil and structural engineering
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Ciência da computação
    Building and construction
    Biotecnología
    Biodiversidade
    Administração pública e de empresas, ciências contábeis e turismo
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