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Long memory analysis of agricultural commodities: Application of Hurst Exponent using Lévy Process

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F17%3A75568" target="_blank" >RIV/60460709:41110/17:75568 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Long memory analysis of agricultural commodities: Application of Hurst Exponent using Lévy Process

  • Original language description

    Nowadays, the trend of many economists and financial practitioners is to use the wavelet techniques or Hurts exponent methodology. Agricultural commodity market is characterized by volatile environment, shock or breaks. The aim of this paper is to investigate the dynamics of the main agricultural commodities corn and wheat using stochastic Lévy process. The selected commodities are the most tradeable among financial institution. The prices of agricultural commodities are influenced by different events or factors, i.e. changes in production, weather or processing. The concept of long memory deals with persistency of time series over 2011 2015 period. For analysis of commodities the rescaled range method is used. Results show that there is an existence of long memory among corn and wheat prices. The H statistics of Hurst exponent indicates the strong form of memory with values above 0,75 under Lévy stochastic process distribution. Findings support the persistent behavior among commodities. The implicat

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Tvrdon, M. (ed.). Proceedings of 10th International Scientific Conference “Karviná Ph.D. Conference on Business and Economics”

  • ISBN

    978-80-7510-265-2

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    31-37

  • Publisher name

    Karviná: Silesian University

  • Place of publication

    Karviná

  • Event location

    Karviná

  • Event date

    Nov 1, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article