TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011

Authors

  • Luiz Henrique Herling UFSC
  • Marcus Vinicius Andrade de Lima Universidade Federal de Santa Catarina
  • Gilberto de Oliveira Moritz Universidade Federal de Santa Catarina
  • Pedro Henrique Marangoni Universidade Federal de Santa Catarina

DOI:

https://doi.org/10.24023/FutureJournal/2175-5825/2012.v4i2.103

Abstract

Fuel market is facing political, economic, social and environmental problems that are fuzzing the future of fossil energy sources and in face of these facts, countries are looking for hybrid and electric vehicles as part of solution in transportation sector due to the fact of electric vehicles use few or no fossil fuel. The objective in this article was to identify options until 2020 to introduce electric vehicle in the urban traffic of São Paulo city and to develop this study the method of literature review in secondary sources was used to present electric vehicle technologies and to identify parameters that were assessed through morphological analysis technique. In morphological analysis, sets of values were defined by the author for these parameters, possible combinations were structured, clearly impractical deployment options before 2020 were discarded and some viable solutions were analyzed in details. These analyses concluded that there are viable options for actual days in São Paulo city, but important requirements regarding technology, politic, market, infrastructure and innovation in products and services still need to be addressed and it is the main reason of electric vehicle remain unnoticed by consumers as an viable option. The challenges are great and the actors who are willing to solve them will find a promising market to explore.

Downloads

Download data is not yet available.

Author Biography

Luiz Henrique Herling, UFSC

Professor de Finanças na Universidade Federal de Santa Catarina. Doutorando em Finanças e Desenvolvimento Econômico.

Downloads

Published

2012-12-11

How to Cite

Herling, L. H., Andrade de Lima, M. V., Moritz, G. de O., & Marangoni, P. H. (2012). TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011. Future Studies Research Journal: Trends and Strategies, 4(2), 164–186. https://doi.org/10.24023/FutureJournal/2175-5825/2012.v4i2.103

Issue

Vol. 4 No. 2 (2012): Future Studies Research Journal

Section

Artigos / Articles

License

Authors who publish with this journal agree to the following terms:

1. Authors who publish in this journal agree to the following terms: the author(s) authorize(s) the publication of the text in the journal;

2. The author(s) ensure(s) that the contribution is original and unpublished and that it is not in the process of evaluation by another journal;

3. The journal is not responsible for the views, ideas and concepts presented in articles, and these are the sole responsibility of the author(s);

4. The publishers reserve the right to make textual adjustments and adapt texts to meet with publication standards.

5. Authors retain copyright and grant the journal the right to first publication, with the work simultaneously licensed under the Creative Commons Atribuição NãoComercial 4.0 internacional, which allows the work to be shared with recognized authorship and initial publication in this journal.

6. Authors are allowed to assume additional contracts separately, for non-exclusive distribution of the version of the work published in this journal (e.g. publish in institutional repository or as a book chapter), with recognition of authorship and initial publication in this journal.

7. Authors are allowed and are encouraged to publish and distribute their work online (e.g. in institutional repositories or on a personal web page) at any point before or during the editorial process, as this can generate positive effects, as well as increase the impact and citations of the published work (see the effect of Free Access) at http://opcit.eprints.org/oacitation-biblio.html

• 8. Authors  are able to use ORCID is a system of identification for authors. An ORCID identifier is unique to an individual and acts as a persistent digital identifier to ensure that authors (particularly those with relatively common names) can be distinguished and their work properly attributed.