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Fernando Antonio Lucena Aiube

Personal Details

First Name:Fernando Antonio
Middle Name:Lucena
Last Name:Aiube
Suffix:
RePEc Short-ID:pai41
[This author has chosen not to make the email address public]
http://blogdolivro-aiube.blogspot.com.br/

Affiliation

Faculdade de Ciências Econômicas
Universidade do Estado do Rio de Janeiro

Rio de Janeiro, Brazil
http://www.fce.uerj.br/
RePEc:edi:fcerjbr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Márcio Poletti Laurini & Roberto Baltieri Mauad & Fernando Antonio Lucena Aiube, 2016. "Multivariate Stochastic Volatility-Double Jump Model: an application for oil assets," Working Papers Series 415, Central Bank of Brazil, Research Department.

Articles

  1. Fernando Antonio Lucena Aiube & Carlos Patricio Samanez & Tara Keshar Nanda Baidya & Larissa de Oliveira Resende, 2017. "Evaluating the risk premium in the U.S.A. natural gas market: evidence from low-price regime," Applied Economics, Taylor & Francis Journals, vol. 49(9), pages 860-871, February.
  2. Fernando Antonio Lucena Aiube & Tara Keshar Nanda Baidya, 2014. "Analysis of the Behavior of Volatility in Crude Oil Price," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 2(1), pages 64-72, February.
  3. Frances Fischberg Blank & Carlos Patricio Samanez & Tara Keshar Nanda Baidya & Fernando Antonio Lucena Aiube, 2014. "Conditional CAPM: Time-varying Betas in the Brazilian Market," Brazilian Review of Finance, Brazilian Society of Finance, vol. 12(2), pages 163-199.
  4. Fernando Antonio Lucena Aiube & Carlos Patricio Samanez, 2014. "On the comparison of Schwartz and Smith's two- and three-factor models on commodity prices," Applied Economics, Taylor & Francis Journals, vol. 46(30), pages 3736-3749, October.
  5. Fernando Antonio Lucena Aiube & Edison Americo Huarsaya Tito, 2009. "Evaluating cash benefits as real options for a commodity producer in an emerging market," Brazilian Review of Finance, Brazilian Society of Finance, vol. 7(3), pages 361-375.
  6. Aiube, Fernando Antonio Lucena & Baidya, Tara Keshar Nanda & Tito, Edison Americo Huarsaya, 2008. "Analysis of commodity prices with the particle filter," Energy Economics, Elsevier, vol. 30(2), pages 597-605, March.
  7. Aiube, Fernando Antonio Lucena & Baidya, Tara Keshar Nanda & Tito, Edison Americo Huarsaya, 2006. "Processos estocásticos dos preços das commodities: uma abordagem através do filtro de partículas," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 60(3), February.
  8. Baídya, Tara Keshar Nanda & Aiube, Fernando Antônio L., 1997. "Avaliação econômica de concessões na indústria de produção de petróleo," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 51(1), January.

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.

Working papers

  1. Márcio Poletti Laurini & Roberto Baltieri Mauad & Fernando Antonio Lucena Aiube, 2016. "Multivariate Stochastic Volatility-Double Jump Model: an application for oil assets," Working Papers Series 415, Central Bank of Brazil, Research Department.

    Cited by:

    1. Rodolfo C. Moura & Márcio P. Laurini, 2021. "Spillovers and jumps in global markets: A comparative analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5997-6013, October.
    2. Chaim, Pedro & Laurini, Márcio P., 2018. "Volatility and return jumps in bitcoin," Economics Letters, Elsevier, vol. 173(C), pages 158-163.
    3. Aurelio F. Bariviera & Ignasi Merediz-Sol`a, 2020. "Where do we stand in cryptocurrencies economic research? A survey based on hybrid analysis," Papers 2003.09723, arXiv.org.
    4. Chaim, Pedro & Laurini, Márcio P., 2019. "Nonlinear dependence in cryptocurrency markets," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 32-47.
    5. Nikolaos A. Kyriazis, 2019. "A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets," JRFM, MDPI, vol. 12(2), pages 1-17, April.

Articles

  1. Fernando Antonio Lucena Aiube & Carlos Patricio Samanez, 2014. "On the comparison of Schwartz and Smith's two- and three-factor models on commodity prices," Applied Economics, Taylor & Francis Journals, vol. 46(30), pages 3736-3749, October.

    Cited by:

    1. Carolina Effio Saldivar & José Herskovits & Juan Pablo Luna & Claudia Sagastizábal, 2019. "Multidimensional Calibration Of Crude Oil And Refined Products Via Semidefinite Programming Techniques," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-31, February.
    2. Fernando Antonio Lucena Aiube & Ariel Levy, 2019. "Recent movement of oil prices and future scenarios [Movimentos recentes dos preços do petróleo e os cenários futuros]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 29(1), pages 223-248, January-A.

  2. Aiube, Fernando Antonio Lucena & Baidya, Tara Keshar Nanda & Tito, Edison Americo Huarsaya, 2008. "Analysis of commodity prices with the particle filter," Energy Economics, Elsevier, vol. 30(2), pages 597-605, March.

    Cited by:

    1. Date, Paresh & Mamon, Rogemar & Tenyakov, Anton, 2013. "Filtering and forecasting commodity futures prices under an HMM framework," Energy Economics, Elsevier, vol. 40(C), pages 1001-1013.
    2. Chris Brooks & Marcel Prokopczuk, 2013. "The dynamics of commodity prices," Quantitative Finance, Taylor & Francis Journals, vol. 13(4), pages 527-542, March.
    3. V. Guigues & C. Sagastizábal & J. P. Zubelli, 2014. "Robust Management and Pricing of Liquefied Natural Gas Contracts with Cancelation Options," Journal of Optimization Theory and Applications, Springer, vol. 161(1), pages 179-198, April.
    4. Heydari, Somayeh & Siddiqui, Afzal, 2010. "Valuing a gas-fired power plant: A comparison of ordinary linear models, regime-switching approaches, and models with stochastic volatility," Energy Economics, Elsevier, vol. 32(3), pages 709-725, May.
    5. Manuel Moreno & Alfonso Novales & Federico Platania, 2019. "Long-term swings and seasonality in energy markets," Documentos de Trabajo del ICAE 2019-29, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    6. Taylor-de-Lima, Reynaldo L.N. & Gerbasi da Silva, Arthur José & Legey, Luiz F.L. & Szklo, Alexandre, 2018. "Evaluation of economic feasibility under uncertainty of a thermochemical route for ethanol production in Brazil," Energy, Elsevier, vol. 150(C), pages 363-376.
    7. Fernando Antonio Lucena Aiube & Ariel Levy, 2019. "Recent movement of oil prices and future scenarios [Movimentos recentes dos preços do petróleo e os cenários futuros]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 29(1), pages 223-248, January-A.
    8. Aiube, Fernando Antonio Lucena & Faquieri, Winicius Botelho, 2019. "Can Gaussian factor models of commodity prices capture the financialization phenomenon?," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    9. Islyaev, Suren & Date, Paresh, 2015. "Electricity futures price models: Calibration and forecasting," European Journal of Operational Research, Elsevier, vol. 247(1), pages 144-154.

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