Počet záznamů: 1  

Time-Frequency Dynamics of Biofuel-Fuel-Food System

  1. 1.
    SYSNO ASEP0393321
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevTime-Frequency Dynamics of Biofuel-Fuel-Food System
    Tvůrce(i) Vácha, Lukáš (UTIA-B) RID
    Janda, K. (CZ)
    Krištoufek, Ladislav (UTIA-B) RID, ORCID
    Zilberman, D. (CZ)
    Celkový počet autorů4
    Zdroj.dok.Energy Economics. - : Elsevier - ISSN 0140-9883
    Roč. 40, č. 1 (2013), s. 233-241
    Poč.str.16 s.
    Forma vydáníTištěná - P
    Jazyk dok.eng - angličtina
    Země vyd.NL - Nizozemsko
    Klíč. slovabiofuels ; correlations ; wavelet coherence
    Vědní obor RIVAH - Ekonomie
    CEPGBP402/12/G097 GA ČR - Grantová agentura ČR
    Institucionální podporaUTIA-B - RVO:67985556
    UT WOS000329081300022
    DOI10.1016/j.eneco.2013.06.015
    AnotaceFor the first time, we apply the wavelet coherence methodology on biofuels (ethanol and biodiesel) and a wide range of related commodities (gasoline, diesel, crude oil, corn, wheat, soybeans, sugarcane and rapeseed oil). This way, we are able to investigate dynamics of correlations in time and across scales (frequencies) with a model-free approach. We show that correlations indeed vary in time and across frequencies. We find two highly correlated pairs which are strongly connected at low frequencies – ethanol with corn and biodiesel with German diesel – during almost the whole analyzed period (2003-2011). Structure of correlations remarkably changes during the food crisis – higher frequencies become important for both mentioned pairs. This implies that during stable periods, ethanol is correlated with corn and biodiesel is correlated with German diesel mainly at low frequencies so that they follow a common long-term trend. However, in the crisis periods, ethanol (biodiesel) is led by corn (German diesel) even at high frequencies (low scales), which implies that the biofuels prices react more rapidly to the changes in their producing factors.
    PracovištěÚstav teorie informace a automatizace
    KontaktMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Rok sběru2014
Počet záznamů: 1  

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