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M. Teresa Sorrosal Forradellas

Personal Details

First Name:M. Teresa
Middle Name:
Last Name:Sorrosal Forradellas
Suffix:
RePEc Short-ID:pso422
[This author has chosen not to make the email address public]

Affiliation

Departamento de Gestión de Empresas
Facultat de Ciències Econòmiques i Empresarials
Universitat Rovira I Virgili Tarragona

Reus, Spain
http://www.dge.urv.es/
RePEc:edi:dgurves (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Bariviera, Aurelio F. & Font-Ferrer, Alejandro & Sorrosal-Forradellas, M. Teresa & Rosso, Osvaldo A., 2019. "An information theory perspective on the informational efficiency of gold price," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
  2. Càmara-Turull, X. & Fernández Izquierdo, M.A. & Sorrosal Forradellas, M.T., 2015. "How Do Different Time Spans Affect The Prediction Accuracy Of Business Failure?," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(1), pages 71-89, May.
  3. Sorrosal Forradellas, M. T. & Barberà-Mariné, M. G. & Fernández Bariviera, Aurelio & Garbajosa-Cabello, M. J., 2012. "Advantages Of Using Self-Organizing Maps To Analyse Student Evaluations Of Teaching," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(1), pages 53-71, May.
  4. Sorrosal Forradellas, M.T. & Ramírez Sarrió, D., 2009. "An Analysis Of Monthly Effects In The Spanish Stock Market Using Artificial Neural Networks," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(1), pages 31-40, May.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Bariviera, Aurelio F. & Font-Ferrer, Alejandro & Sorrosal-Forradellas, M. Teresa & Rosso, Osvaldo A., 2019. "An information theory perspective on the informational efficiency of gold price," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).

    Cited by:

    1. Fernandes, Leonardo H.S. & de Araujo, Fernando H.A. & Silva, José W.L. & Tabak, Benjamin Miranda, 2022. "Booms in commodities price: Assessing disorder and similarity over economic cycles," Resources Policy, Elsevier, vol. 79(C).
    2. de Araujo, Fernando Henrique Antunes & Bejan, Lucian & Stosic, Borko & Stosic, Tatijana, 2020. "An analysis of Brazilian agricultural commodities using permutation – information theory quantifiers: The influence of food crisis," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    3. Fernandes, Leonardo H.S. & Bouri, Elie & Silva, José W.L. & Bejan, Lucian & de Araujo, Fernando H.A., 2022. "The resilience of cryptocurrency market efficiency to COVID-19 shock," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    4. Zhang, Guangyong & Jiang, Le & Tian, Lixin & Fu, Min, 2021. "Analysis of the gold fixing price fluctuation in different times based on the directed weighted networks," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    5. Mensi, Walid & Sensoy, Ahmet & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Impact of COVID-19 outbreak on asymmetric multifractality of gold and oil prices," Resources Policy, Elsevier, vol. 69(C).
    6. Lavín, Jaime F. & Valle, Mauricio A. & Magner, Nicolás S., 2024. "Stock market pattern recognition using symbol entropy analysis," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    7. Olivares, Felipe & Zunino, Luciano, 2020. "Multiscale dynamics under the lens of permutation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    8. Chirwa, Themba G & Odhiambo, Nicholas M, 2020. "Determinants of gold price movements:An empirical investigation in the presence of mutliple structural breaks," Working Papers 26643, University of South Africa, Department of Economics.
    9. Bhatia, Madhur, 2023. "On the efficiency of the gold returns: An econometric exploration for India, USA and Brazil," Resources Policy, Elsevier, vol. 82(C).
    10. Brouty, Xavier & Garcin, Matthieu, 2024. "Fractal properties, information theory, and market efficiency," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).

  2. Sorrosal Forradellas, M. T. & Barberà-Mariné, M. G. & Fernández Bariviera, Aurelio & Garbajosa-Cabello, M. J., 2012. "Advantages Of Using Self-Organizing Maps To Analyse Student Evaluations Of Teaching," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(1), pages 53-71, May.

    Cited by:

    1. Marco Aurélio de Oliveira & Antonio Schalata Pacheco & André Hideto Futami & Luiz Veriano Oliveira Dalla Valentina & Carlos Alberto Flesch, 2023. "Self‐organizing maps and Bayesian networks in organizational modelling: A case study in innovation projects management," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 61-87, January.

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