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MODELLING THE DYNAMIC CONDITIONAL CORRELATIONS: THE CASE OF COBALT AND LITHIUM PRICE INCREASE AND VOLATILITY OF TESLA MOTORS INC. SHARES

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10240856" target="_blank" >RIV/61989100:27510/18:10240856 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.aauni.edu/data/files/sbornik-ifrs-verze2.pdf" target="_blank" >https://www.aauni.edu/data/files/sbornik-ifrs-verze2.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    MODELLING THE DYNAMIC CONDITIONAL CORRELATIONS: THE CASE OF COBALT AND LITHIUM PRICE INCREASE AND VOLATILITY OF TESLA MOTORS INC. SHARES

  • Original language description

    In recent years, a significant increase of demand for lithium and cobalt has led to a high increase of the price of these commodities due to their reduced availability. Cobalt and lithium are source of power batteries that are utilized in electric cars. Tesla Motors Inc. company became a key player on electric vehicles market. The stability of production of electric vehicles and their subsequent commercialization is affected by many risk factors. The shortage of renewal of cobalt and lithium, limited resources and the instability of some supplier countries like D. R. of Congo are some of them. The dependence of Tesla Motors Inc. on these two metals is evident. In addition to this, the profit of Tesla Motors Inc. reached negative values despite of annual revenue growth. Operating costs including raw materials for batteries (lithium cobalt included) grew proportionately. The aim of this paper is to model prices shocks of cobalt and lithium on Tesla Motors Inc. volatility. In this paper, the Dynamic Conditional Correlations model has been estimated to examine potential effects of cobalt and lithium price fluctuations on volatility of Tesla shares. The results of estimated models suggested that changes in lithium price have statistically significant impact on volatility of Tesla Motors Inc. shares during testing period of 2013-2017. In the case of cobalt prices fluctuations, the hypothesis of significant impact on Tesla Motors Inc. volatility can be rejected.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IFRS: Global Rules &amp; Local Use : proceedings of the 6th international scientific conference : Prague, October 11-12, 2018

  • ISBN

    978-80-906585-7-8

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    172-181

  • Publisher name

    Anglo-Americká vysoká škola

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Oct 11, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000461826900016