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Regime-dependent topological properties of biofuels networks

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  • Ladislav Kristoufek

    ()

  • Karel Janda
  • David Zilberman

Abstract

In this paper, we analyze the relationships between biodiesel, ethanol and related fuels and agricultural commodities with a use of minimal spanning trees and hierarchical trees. To distinguish between short term and long term effects, we construct the trees for different frequencies (weekly, monthly and quarterly). At lower frequencies, the system splits into two well separated branches – a fuels part and a food part. Biodiesel tends to the fuels branch and ethanol to the food branch. We especially concentrate on the links and comovements between the commodities for different stages of the market based on the level of prices of important commodities or groups of commodities. Such approach uncovers some more interesting results and, in general, confirms the separation of network into fuels and food for majority of analyzed cases. Copyright EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg 2013

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Bibliographic Info

Article provided by Springer in its journal The European Physical Journal B.

Volume (Year): 86 (2013)
Issue (Month): 2 (February)
Pages: 1-12

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Handle: RePEc:spr:eurphb:v:86:y:2013:i:2:p:1-12:10.1140/epjb/e2012-30871-9

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Keywords: Statistical and Nonlinear Physics;

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Cited by:
  1. Lukas Vacha & Karel Janda & Ladislav Kristoufek & David Zilberman, 2012. "Time-Frequency Dynamics of Biofuels-Fuels-Food System," Papers 1209.0900, arXiv.org.
  2. Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2014. "Causality and predictability in distribution: The ethanol–food price relation revisited," Energy Economics, Elsevier, vol. 42(C), pages 152-160.

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