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Pedro L. Valls Pereira

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. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Escribano, Alvaro & Peña, Daniel & Ruiz, Esther, 2021. "30 years of cointegration and dynamic factor models forecasting and its future with big data: Editorial," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1333-1337.
    2. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.
    3. Bae, Juhee, 2024. "Factor-augmented forecasting in big data," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1660-1688.
    4. Hallin, Marc & Trucíos, Carlos, 2023. "Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach," Econometrics and Statistics, Elsevier, vol. 27(C), pages 1-15.
    5. Boudt, Kris & Heyndels, Ewoud, 2024. "Robust interactive fixed effects," Econometrics and Statistics, Elsevier, vol. 29(C), pages 206-223.

  2. Marc Hallin & Luis K. Hotta & João H. G Mazzeu & Carlos Cesar Trucios-Maza & Pedro L. Valls Pereira & Mauricio Zevallos, 2019. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: a General Dynamic Factor Approach," Working Papers ECARES 2019-14, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    2. Matteo Barigozzi & Marc Hallin & Matteo Luciani & Paolo Zaffaroni, 2021. "Inferential Theory for Generalized Dynamic Factor Models," Working Papers ECARES 2021-20, ULB -- Universite Libre de Bruxelles.
    3. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    4. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.

  3. Trucíos Maza, Carlos César & Hotta, Luiz Koodi & Pereira, Pedro L. Valls, 2018. "On the robustness of the principal volatility components," Textos para discussão 474, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    2. Carlos Trucíos & João H. G. Mazzeu & Marc Hallin & Luiz K. Hotta & Pedro L. Valls Pereira & Mauricio Zevallos, 2022. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 40-52, December.
    3. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    4. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Working Papers ECARES 2023-15, ULB -- Universite Libre de Bruxelles.
    5. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.
    6. Trucíos, Carlos, 2019. "Forecasting Bitcoin risk measures: A robust approach," International Journal of Forecasting, Elsevier, vol. 35(3), pages 836-847.
    7. Hallin, Marc & Trucíos, Carlos, 2023. "Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach," Econometrics and Statistics, Elsevier, vol. 27(C), pages 1-15.
    8. Fiszeder, Piotr & Małecka, Marta & Molnár, Peter, 2024. "Robust estimation of the range-based GARCH model: Forecasting volatility, value at risk and expected shortfall of cryptocurrencies," Economic Modelling, Elsevier, vol. 141(C).

  4. Kohn, Maximilian-Benedikt Herwarth Detlef & Pereira, Pedro L. Valls, 2016. "Speculative bubbles and contagion: analysis of volatility's clusters during the DotCom bubble based on the dynamic conditional correlation model," Textos para discussão 418, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Jean-Louis Bago & Koffi Akakpo & Imad Rherrad & Ernest Ouédraogo, 2021. "Volatility Spillover and International Contagion of Housing Bubbles," JRFM, MDPI, vol. 14(7), pages 1-14, June.
    2. Waithaka, Douglas Mwangi & Kendzia, Michael Jan, 2024. "Impact of Stock Market Manias and Panics on the U.S. Labor Market," IZA Discussion Papers 17276, Institute of Labor Economics (IZA).
    3. Genoni, Giulia & Quatto, Piero & Vacca, Gianmarco, 2023. "Dating financial bubbles via online multiple testing procedures," Finance Research Letters, Elsevier, vol. 58(PA).
    4. Ana Escribano & Cristina Íñiguez, 2021. "The contagion phenomena of the Brexit process on main stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4462-4481, July.

  5. Tófoli, Paula Virgínia & Ziegelmann, Flávio Augusto & Silva Filho, Osvaldo Candido & Pereira, Pedro L. Valls, 2016. "Dynamic D-Vine copula model with applications to Value-at-Risk (VaR)," Textos para discussão 424, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Sabino da Silva, Fernando A.B. & Ziegelmann, Flavio A. & Caldeira, João F., 2023. "A pairs trading strategy based on mixed copulas," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 16-34.

  6. Fonseca, Marcelo Gonçalves da Silva & Pereira, Pedro L. Valls, 2014. "Credit shocks and monetary policy in Brazil: a structural FAVAR approach," Textos para discussão 358, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Gabriel Rodríguez & Carlos Guevara, 2018. "The Role of Loan Supply Shocks in Pacific Alliance Countries: A TVP-VAR-SV Approach," Documentos de Trabajo / Working Papers 2018-467, Departamento de Economía - Pontificia Universidad Católica del Perú.
    2. Guevara, Carlos & Rodríguez, Gabriel, 2020. "The role of credit supply shocks in pacific alliance countries: A TVP-VAR-SV approach," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).

  7. Wink Junior, Marcos Vinício & Pereira, Pedro L. Valls, 2012. "Realized volatility: evidence from Brazil," Textos para discussão 320, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Arnerić Josip & Poklepović Tea & Teai Juin Wen, 2018. "Neural Network Approach in Forecasting Realized Variance Using High-Frequency Data," Business Systems Research, Sciendo, vol. 9(2), pages 18-34, July.
    2. Ziegelmann, Flávio Augusto & Borges, Bruna & Caldeira, João F., 2015. "Selection of Minimum Variance Portfolio Using Intraday Data: An Empirical Comparison Among Different Realized Measures for BM&FBovespa Data," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 35(1), October.

  8. Wink Junior, Marcos Vinício & Pereira, Pedro L. Valls, 2012. "Modelagem e previsão de volatilidade realizada: evidências para o Brasil," Textos para discussão 313, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Márcio Gomes Pinto Garcia & Marcelo Cunha Medeiros & Francisco Eduardo de Luna e Almeida Santos, 2014. "Economic gains of realized volatility in the Brazilian stock market," Brazilian Review of Finance, Brazilian Society of Finance, vol. 12(3), pages 319-349.

  9. Santos, Ricardo Pires de Souza & Pereira, Pedro L. Valls, 2011. "Modelando contágio financeiro através de cópulas," Textos para discussão 292, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Rotta, Pedro Nielsen & Pereira, Pedro L. Valls, 2013. "Analysis of contagion from the constant conditional correlation model with Markov regime switching," Textos para discussão 340, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

  10. Ribeiro, Priscila Fernandes & Pereira, Pedro L. Valls, 2010. "Economic cycles and term structure: application to Brazil," Textos para discussão 259, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Mr. Rodrigo Cabral & Mr. Richard Munclinger & Mr. Luiz Alves & Mr. Marco Rodriguez Waldo, 2011. "On Brazil’s Term Structure: Stylized Facts and Analysis of Macroeconomic Interactions," IMF Working Papers 2011/113, International Monetary Fund.
    2. Bilgili, Faik, 2012. "Linear and nonlinear TAR panel unit root analyses for solid biomass energy supply of European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6775-6781.
    3. Bilgili, Faik & Tülüce, Nadide Sevil Halıcı & Doğan, İbrahim, 2012. "The determinants of FDI in Turkey: A Markov Regime-Switching approach," Economic Modelling, Elsevier, vol. 29(4), pages 1161-1169.
    4. Marçal, Emerson Fernandes & Pereira, Pedro L. Valls, 2012. "Evaluating the existence of structural change in the brazilian term structure of interest: evidence based on cointegration models with structural break," Textos para discussão 314, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

  11. Baptista, Ricardo Fuscaldi de Figueiredo & Pereira, Pedro L. Valls, 2009. "Análise do desempenho de regras da análise técnica aplicada ao mercado intradiário do contrato futuro do índice Ibovespa," Textos para discussão 173, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Pereira, Pedro L. Valls, 2009. "Predictability of equity models," Textos para discussão 176, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    2. Pereira, Pedro L. Valls, 2009. "Ombro-cabeça-ombro: testando a lucratividade do padrão gráfico de análise técnica no mercado de ações brasileiro," Textos para discussão 181, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

  12. Pereira, Pedro L. Valls, 2009. "Testing the hypothesis of contagion using multivariate volatility models," Textos para discussão 174, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Diego Ferreira & Andreza A. Palma, 2022. "On the subprime crisis and the Latin American financial markets: A regime switching skew‐normal approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3300-3314, July.
    2. Rafał SIEDLECKI & Daniel PAPLA, 2016. "Conditional Correlation Coefficient As A Tool For Analysis Of Contagion In Financial Markets And Real Economy Indexes Based On The Synthetic Ratio," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(4), pages 287-299.
    3. Carvalho, João Vinícius de França & Chiann, Chang, 2013. "Redes Bayesianas: Um método para avaliação de interdependência e contágio em séries temporais multivariadas," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(2), June.
    4. de Oliveira, Felipe A. & Maia, Sinézio F. & de Jesus, Diego P. & Besarria, Cássio da N., 2018. "Which information matters to market risk spreading in Brazil? Volatility transmission modelling using MGARCH-BEKK, DCC, t-Copulas," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 83-100.
    5. Boubaker, Heni & Raza, Syed Ali, 2016. "On the dynamic dependence and asymmetric co-movement between the US and Central and Eastern European transition markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 459(C), pages 9-23.

  13. Pereira, Pedro L. Valls & Marçal, Emerson Fernandes & Martin, Diógenes Manoel Leiva & Nakamura, Wilson Toshiro, 2009. "Evaluation of contagion or interdependence in the financial crises of Asia and Latin America, considering the macroeconomic fundamentals," Textos para discussão 177, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Rotta, Pedro Nielsen & Pereira, Pedro L. Valls, 2013. "Analysis of contagion from the constant conditional correlation model with Markov regime switching," Textos para discussão 340, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    2. Ribeiro, André L.P. & Hotta, Luiz K., 2013. "An analysis of contagion among Asian countries using the canonical model of contagion," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 62-69.
    3. Ahmad, Wasim & Sehgal, Sanjay & Bhanumurthy, N.R., 2013. "Eurozone crisis and BRIICKS stock markets: Contagion or market interdependence?," Economic Modelling, Elsevier, vol. 33(C), pages 209-225.
    4. Wasim Ahmad & N.R. Bhanumurthy & Sanjay Sehgal, 2014. "The Eurozone crisis and its contagion effects on the European stock markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 31(3), pages 325-352, July.
    5. Neha Seth & Monica Sighania, 2017. "Financial market contagion: selective review of reviews," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 9(4), pages 391-408, November.
    6. Maximilian-Benedikt Herwarth Kohn & Pedro L. Valls Pereira, 2017. "Speculative bubbles and contagion: Analysis of volatility’s clusters during the DotCom bubble based on the dynamic conditional correlation model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1411453-141, January.
    7. Nistor, Costel & Dumitriu, Ramona & Stefanescu, Razvan, 2012. "Impact of the global crisis on the linkages between CAC 40 and indexes from CEE countries," MPRA Paper 42511, University Library of Munich, Germany, revised 18 Sep 2012.
    8. A. Maghyereh & B. Awartani, 2012. "Return and volatility spillovers between Dubai financial market and Abu Dhabi Stock Exchange in the UAE," Applied Financial Economics, Taylor & Francis Journals, vol. 22(10), pages 837-848, May.
    9. Boubaker, Heni & Raza, Syed Ali, 2016. "On the dynamic dependence and asymmetric co-movement between the US and Central and Eastern European transition markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 459(C), pages 9-23.
    10. Shegorika Rajwani & Dilip Kumar, 2019. "Measuring Dependence Between the USA and the Asian Economies: A Time-varying Copula Approach," Global Business Review, International Management Institute, vol. 20(4), pages 962-980, August.
    11. Gkillas, Konstantinos & Tsagkanos, Athanasios & Vortelinos, Dimitrios I., 2019. "Integration and risk contagion in financial crises: Evidence from international stock markets," Journal of Business Research, Elsevier, vol. 104(C), pages 350-365.
    12. Woon Sau Leung & Nicholas Taylor, 2013. "Testing for contagion: the impact of US structured markets on international financial markets," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 11, pages 256-284, Edward Elgar Publishing.

  14. Pereira, Pedro L. Valls, 2009. "Ombro-cabeça-ombro: testando a lucratividade do padrão gráfico de análise técnica no mercado de ações brasileiro," Textos para discussão 181, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    Cited by:

    1. Pereira, Pedro L. Valls, 2009. "Predictability of equity models," Textos para discussão 176, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

  15. Marçal, Emerson F. & Valls Pereira, Pedro L., 2008. "Testando A Hipótese De Contágio A Partir De Modelos Multivariados De Volatilidade [Testing the contagion hypotheses using multivariate volatility models]," MPRA Paper 10356, University Library of Munich, Germany.

    Cited by:

    1. Pereira, Pedro L. Valls & Marçal, Emerson Fernandes & Martin, Diógenes Manoel Leiva & Nakamura, Wilson Toshiro, 2009. "Evaluation of contagion or interdependence in the financial crises of Asia and Latin America, considering the macroeconomic fundamentals," Textos para discussão 177, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

  16. Laurini, Márcio P. & Valls Pereira, Pedro L., 2007. "Conditional Stochastic Kernel Estimation by Nonparametric Methods," Insper Working Papers wpe_90, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.

    Cited by:

    1. Márcio Poletti Laurini, 2017. "A spatial error model with continuous random effects and an application to growth convergence," Journal of Geographical Systems, Springer, vol. 19(4), pages 371-398, October.
    2. Lin, Yi-Chen, 2016. "The global distribution of the burden of road traffic injuries: Evolution and intra-distribution mobility," Journal of Transport Geography, Elsevier, vol. 56(C), pages 77-91.
    3. Peiró-Palomino, Jesús & Picazo-Tadeo, Andrés J. & Tortosa-Ausina, Emili, 2021. "Measuring well-being in Colombian departments. The role of geography and demography," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    4. Serge Rey & Olivier Peron, 2012. "Trade and Convergence of Per Capita Income in the Indian Ocean Zone, 1950-2008," Post-Print hal-01885296, HAL.
    5. Jesús Peiró-Palomino, 2016. "European regional convergence revisited: the role of intangible assets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(1), pages 165-194, July.
    6. Halkos, George & Tzeremes, Nickolaos, 2011. "Regional environmental efficiency and economic growth: NUTS2 evidence from Germany, France and the UK," MPRA Paper 33698, University Library of Munich, Germany.
    7. Jesús Peiró-Palomino, 2019. "Regional well-being in the OECD," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 195-218, June.
    8. Halkos, George & Tzeremes, Nickolaos, 2011. "Measuring regional environmental efficiency: A directional distance function approach," MPRA Paper 32934, University Library of Munich, Germany.
    9. George Halkos & Nickolaos Tzeremes, 2012. "Measuring German regions’ environmental efficiency: a directional distance function approach," Letters in Spatial and Resource Sciences, Springer, vol. 5(1), pages 7-16, March.
    10. José Villaverde & Adolfo Maza & María Hierro, 2014. "Health care expenditure disparities in the European Union and underlying factors: a distribution dynamics approach," International Journal of Health Economics and Management, Springer, vol. 14(3), pages 251-268, September.
    11. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo & Emili Tortosa-Ausina, 2020. "The Geography of Well-being in Colombia," Working Papers 2020/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Jesús Peiró-Palomino, 2013. "European regional convergence revisited: The role of space and the intangible assets," Working Papers 2013/11, Economics Department, Universitat Jaume I, Castellón (Spain).

  17. Soosung Hwang & Steve E. Satchell & Pedro L. Valls Pereira, 2004. "How Persistent is Volatility? An Answer with Stochastic Volatility Models with Markov Regime Switching State Equations," Econometric Society 2004 Latin American Meetings 198, Econometric Society.

    Cited by:

    1. Gilles Dufrenot & Dominique Guegan & Anne Peguin-Feissolle, 2008. "Changing-regime volatility: A fractionally integrated SETAR model," Post-Print halshs-00185369, HAL.
    2. Łukasz Kwiatkowski, 2010. "Markov Switching In-Mean Effect. Bayesian Analysis in Stochastic Volatility Framework," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(1), pages 59-94, January.
    3. He, Xin-Jiang & Zhu, Song-Ping, 2016. "An analytical approximation formula for European option pricing under a new stochastic volatility model with regime-switching," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 77-85.

  18. Galvão, Ana Beatriz C., 2003. "Structural Break Threshold VARs for Predicting US Recessions using the Spread," Insper Working Papers wpe_39, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.

    Cited by:

    1. Duarte, Agustin & Venetis, Ioannis A. & Paya, Ivan, 2005. "Predicting real growth and the probability of recession in the Euro area using the yield spread," International Journal of Forecasting, Elsevier, vol. 21(2), pages 261-277.

  19. Laurini, Márcio & Andrade, Eduardo & Pedro L. Valls Pereira, 2003. "Clubes de Convergência de Renda para os Municípios Brasileiros: Uma Análise Não-Paramétrica," Insper Working Papers wpe_41, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.

    Cited by:

    1. Maria Alice Móz Christofoletti & Humberto Francisco Silva Spolador, 2011. "Income convergence among Brazilian states after the economic openness in the 1990s," ERSA conference papers ersa10p172, European Regional Science Association.
    2. João Luis Brasil Gondim & Flávio Ataliba Barreto, 2004. "O Uso Do Núcleo Estocástico Para Identificação De Clubes De Convergência Entre Estados E Municípios Brasileiros," Anais do XXXII Encontro Nacional de Economia [Proceedings of the 32nd Brazilian Economics Meeting] 053, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    3. Penna, Christiano Modesto & Linhares, Fabricio Carneiro, 2013. "Há controvérsia entre análises de beta e sigma-convergência no Brasil?," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    4. Da Silva Catela, Eva Yamila & Gonçalves, Flávio & Porcile, Gabriel, 2010. "Brazilian municipalities: agglomeration economies and development levels in 1997 and 2007," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.

  20. Hwang. S. & Pedro L. Valls Pereira, 2003. "Small Sample Properties of GARCH Estimates and Persistence," Finance Lab Working Papers flwp_48, Finance Lab, Insper Instituto de Ensino e Pesquisa.

    Cited by:

    1. Fantazzini, Dean, 2022. "Crypto Coins and Credit Risk: Modelling and Forecasting their Probability of Death," MPRA Paper 113744, University Library of Munich, Germany.
    2. Geoff Willcocks, 2009. "UK Housing Market: Time Series Processes with Independent and Identically Distributed Residuals," The Journal of Real Estate Finance and Economics, Springer, vol. 39(4), pages 403-414, November.
    3. Fantazzini, Dean, 2024. "Adaptive Conformal Inference for computing Market Risk Measures: an Analysis with Four Thousands Crypto-Assets," MPRA Paper 121214, University Library of Munich, Germany.
    4. Essaddam, Naceur & Karagianis, John M., 2014. "Terrorism, country attributes, and the volatility of stock returns," Research in International Business and Finance, Elsevier, vol. 31(C), pages 87-100.
    5. Peter Hans Matthews, 2004. "Paradise Lost and Found? The Econometric Contributions of Clive W.J. Granger and Robert F. Engle," Middlebury College Working Paper Series 0416, Middlebury College, Department of Economics.
    6. David E. Rapach & Jack K. Strauss, 2008. "Structural breaks and GARCH models of exchange rate volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 65-90.
    7. Phantratanamongkol, Supanan & Casalin, Fabrizio & Pang, Gu & Sanderson, Joseph, 2018. "The price-volume relationship for new and remanufactured smartphones," International Journal of Production Economics, Elsevier, vol. 199(C), pages 78-94.
    8. Jie Zhu, 2008. "Testing for Expected Return and Market Price of Risk in Chinese A-B Share Market: A Geometric Brownian Motion and Multivariate GARCH Model Approach," CREATES Research Papers 2008-15, Department of Economics and Business Economics, Aarhus University.
    9. Stanislav Bozhkov & Habin Lee & Uthayasankar Sivarajah & Stella Despoudi & Monomita Nandy, 2020. "Idiosyncratic risk and the cross-section of stock returns: the role of mean-reverting idiosyncratic volatility," Annals of Operations Research, Springer, vol. 294(1), pages 419-452, November.
    10. Elie Bouri & Naji Jalkh & Peter Molnár & David Roubaud, 2017. "Bitcoin for energy commodities before and after the December 2013 crash: diversifier, hedge or safe haven?," Applied Economics, Taylor & Francis Journals, vol. 49(50), pages 5063-5073, October.
    11. Benjamin R. Auer & Benjamin Mögel, 2016. "How Accurate are Modern Value-at-Risk Estimators Derived from Extreme Value Theory?," CESifo Working Paper Series 6288, CESifo.
    12. Sang‐Kuck Chung, 2009. "Out‐of‐sample Hedge Performances for Risk Management in China Commodity Futures Markets," Asian Economic Journal, East Asian Economic Association, vol. 23(3), pages 349-372, September.
    13. Hartmann, Matthias & Herwartz, Helmut, 2012. "Causal relations between inflation and inflation uncertainty—Cross sectional evidence in favour of the Friedman–Ball hypothesis," Economics Letters, Elsevier, vol. 115(2), pages 144-147.
    14. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," Post-Print hal-01943883, HAL.
    15. Anastasiou, Dimitris & Ballis, Antonis & Drakos, Konstantinos, 2022. "Constructing a positive sentiment index for COVID-19: Evidence from G20 stock markets," International Review of Financial Analysis, Elsevier, vol. 81(C).
    16. Lee, Seohyun, 2017. "Three essays on uncertainty: real and financial effects of uncertainty shocks," MPRA Paper 83617, University Library of Munich, Germany.
    17. Julia S. Mehlitz & Benjamin R. Auer, 2021. "Time‐varying dynamics of expected shortfall in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 895-925, June.
    18. Fantazzini, Dean & Zimin, Stephan, 2019. "A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies," MPRA Paper 95988, University Library of Munich, Germany.
    19. Mnasri, Ayman & Nechi, Salem, 2016. "Impact of terrorist attacks on stock market volatility in emerging markets," Emerging Markets Review, Elsevier, vol. 28(C), pages 184-202.
    20. Charles, Amélie & Darné, Olivier, 2019. "The accuracy of asymmetric GARCH model estimation," International Economics, Elsevier, vol. 157(C), pages 179-202.
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    22. Esparcia, Carlos & Jareño, Francisco & Umar, Zaghum, 2022. "Revisiting the safe haven role of Gold across time and frequencies during the COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    23. Nektarios A. Michail, 2019. "Examining The Stability Of Okun'S Coefficient," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 240-256, July.
    24. Anthony N. Rezitis & Shaikh Mostak Ahammad, 2016. "Investigating The Interdependency Of Agricultural Production Volatility Spillovers Between Bangladesh, India, And Pakistan," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 28(1), pages 32-54, March.
    25. Bialkowski, Jedrzej & Gottschalk, Katrin & Wisniewski, Tomasz, 2006. "Stock market volatiltity around national elections," MPRA Paper 302, University Library of Munich, Germany, revised Nov 2006.
    26. Jozef Barunik & Zdenek Drabek & Matej Nevrla, 2020. "Investment Disputes and Abnormal Volatility of Stocks," Papers 2006.10505, arXiv.org.
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    28. Fan, John Hua & Todorova, Neda, 2017. "Dynamics of China’s carbon prices in the pilot trading phase," Applied Energy, Elsevier, vol. 208(C), pages 1452-1467.
    29. Jie Zhu, 2009. "Pricing volatility of stock returns with volatile and persistent components," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 23(3), pages 243-269, September.
    30. Fantazzini, Dean, 2009. "The effects of misspecified marginals and copulas on computing the value at risk: A Monte Carlo study," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2168-2188, April.
    31. Gürkan Bozma & Murat Akadg & Rahman Aydin, 2021. "Dynamic Relationships between Oil Price, Inflation and Economic Growth: A VARMA, GARCH-in-mean, asymmetric BEKK Model for Turkey," Economics Bulletin, AccessEcon, vol. 41(3), pages 1266-1281.
    32. Kazım Berk Küçüklerli & Veysel Ulusoy, 2023. "The time-varying correlation between popular narratives and TRY/USD FX rate: Evidence from a DCC-GARCH model," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(4), pages 1-3.
    33. Jie Zhu, 2008. "FIEGARCH-M and and International Crises: A Cross-Country Analysis," CREATES Research Papers 2008-16, Department of Economics and Business Economics, Aarhus University.
    34. Saji Thazhungal Govindan Nair, 2021. "On extreme value theory in the presence of technical trend: pre and post Covid-19 analysis of cryptocurrency markets," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 14(4), pages 533-561, December.
    35. Lisa Crosato & Luigi Grossi, 2019. "Correcting outliers in GARCH models: a weighted forward approach," Statistical Papers, Springer, vol. 60(6), pages 1939-1970, December.
    36. Chau, Frankie & Deesomsak, Rataporn & Wang, Jun, 2014. "Political uncertainty and stock market volatility in the Middle East and North African (MENA) countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 1-19.
    37. Demirer, Riza & Gupta, Rangan & Salisu, Afees A. & van Eyden, Reneé, 2023. "Firm-level business uncertainty and the predictability of the aggregate U.S. stock market volatility during the COVID-19 pandemic," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 295-302.
    38. Fantazzini, Dean & Shangina, Tamara, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
    39. Sen, Chitrakalpa & Chakrabarti, Gagari & Sarkar, Amitava, 1981. "Asymmetric Response in Foreign Exchange Volatility under Structural Break," MPRA Paper 26817, University Library of Munich, Germany.
    40. Stefan Bruder, 2018. "Inference for structural impulse responses in SVAR-GARCH models," ECON - Working Papers 281, Department of Economics - University of Zurich.
    41. Soosung Hwang & Steve Satchell, 2005. "GARCH model with cross-sectional volatility: GARCHX models," Applied Financial Economics, Taylor & Francis Journals, vol. 15(3), pages 203-216.
    42. Kliber, Agata, 2022. "Looking for a safe haven against American stocks during COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    43. Rodrigo Alfaro & Carmen Gloria Silva, 2008. "Measuring Equity Volatility: the case of Chilean Stock Index," Working Papers Central Bank of Chile 462, Central Bank of Chile.
    44. Bouri, Elie & Chen, Qian & Lien, Donald & Lv, Xin, 2017. "Causality between oil prices and the stock market in China: The relevance of the reformed oil product pricing mechanism," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 34-48.
    45. Emil Kraft & Dogan Keles & Wolf Fichtner, 2020. "Modeling of frequency containment reserve prices with econometrics and artificial intelligence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1179-1197, December.
    46. Benjamin Mögel & Benjamin R. Auer, 2018. "How accurate are modern Value-at-Risk estimators derived from extreme value theory?," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 979-1030, May.
    47. Bouri, Elie & de Boyrie, Maria E. & Pavlova, Ivelina, 2017. "Volatility transmission from commodity markets to sovereign CDS spreads in emerging and frontier countries," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 155-165.
    48. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    49. Fernanda Maria Müller & Marcelo Brutti Righi, 2018. "Numerical comparison of multivariate models to forecasting risk measures," Risk Management, Palgrave Macmillan, vol. 20(1), pages 29-50, February.
    50. Díaz, Antonio & Esparcia, Carlos & Huélamo, Diego, 2023. "Stablecoins as a tool to mitigate the downside risk of cryptocurrency portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    51. Narayan, S. & Le, T.-H. & Sriananthakumar, S., 2018. "The influence of terrorism risk on stock market integration: Evidence from eight OECD countries," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 247-259.
    52. Perera, Devmali & Białkowski, Jędrzej & Bohl, Martin T., 2020. "Does the tea market require a futures contract? Evidence from the Sri Lankan tea market," Research in International Business and Finance, Elsevier, vol. 54(C).
    53. Liang, Chao & Wang, Lu & Duong, Duy, 2024. "More attention and better volatility forecast accuracy: How does war attention affect stock volatility predictability?," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 1-19.
    54. Bruce Burton & Satish Kumar & Nitesh Pandey, 2020. "Twenty-five years of The European Journal of Finance (EJF): a retrospective analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 26(18), pages 1817-1841, December.
    55. Fernanda Maria Müller & Thalles Weber Gössling & Samuel Solgon Santos & Marcelo Brutti Righi, 2024. "A comparison of Range Value at Risk (RVaR) forecasting models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 509-543, April.
    56. Esparcia, Carlos & Diaz, Antonio & Alonso, Daniel, 2023. "How important is green awareness in energy investment decisions? An environmentally-based rebalancing portfolio study," Energy Economics, Elsevier, vol. 128(C).
    57. González-Pla, Francisco & Lovreta, Lidija, 2022. "Modeling and forecasting firm-specific volatility: The role of asymmetry and long-memory," Finance Research Letters, Elsevier, vol. 48(C).
    58. Rodrigo A. Alfaro & Carmen Gloria Silva, 2008. "Volatilidad de Indices Accionarios: El caso del IPSA," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 45(132), pages 217-233.
    59. Lin, Tsai-Yu & Chen, Cathy W.S. & Syu, Fong-Yi, 2021. "Multi-asset pair-trading strategy: A statistical learning approach," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    60. Michail Karoglou & Panicos Demetriades & Siong Law, 2011. "One date, one break?," Empirical Economics, Springer, vol. 41(1), pages 7-24, August.
    61. Díaz, Antonio & Esparcia, Carlos & López, Raquel, 2022. "The diversifying role of socially responsible investments during the COVID-19 crisis: A risk management and portfolio performance analysis," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 39-60.
    62. Jie Zhu, 2008. "Pricing Volatility of Stock Returns with Volatile and Persistent Components," CREATES Research Papers 2008-14, Department of Economics and Business Economics, Aarhus University.
    63. Krzysztof DRACHAL, 2017. "Volatility Clustering, Leverage Effects and Risk-Return Tradeoff in the Selected Stock Markets in the CEE Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 37-53, September.
    64. Umberto Triacca, 2009. "Volatility Persistence and Predictability of Squared Returns in GARCH(1,1) Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(3), pages 285-291, November.
    65. Sriananthakumar, Sivagowry & Narayan, Seema, 2015. "Are prolonged conflict and tension deterrents for stock market integration? The case of Sri Lanka," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 504-520.
    66. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2019. "Quantifying Risk in Traditional Energy and Sustainable Investments," Sustainability, MDPI, vol. 11(3), pages 1-22, January.
    67. Bales, Stephan & Burghof, Hans-Peter, 2021. "Policy uncertainty, interest rate environment and the dynamic correlation between sovereign and bank default risk," Economics Letters, Elsevier, vol. 206(C).

  21. Andrade, Eduardo. & Laurini, Márcio & Pedro L. Valls Pereira & Madalozzo, Regina., 2003. "Convergence Clubs Among Brazilian Municipalities," Insper Working Papers wpe_36, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.

    Cited by:

    1. Márcio Poletti Laurini, 2017. "A spatial error model with continuous random effects and an application to growth convergence," Journal of Geographical Systems, Springer, vol. 19(4), pages 371-398, October.
    2. Bird, Julia & Straub, Stephane, 2014. "The Brasilia experiment : road access and the spatial pattern of long-term local development in Brazil," Policy Research Working Paper Series 6964, The World Bank.
    3. Guilherme Mendes Resende & Alexandre Xavier Ywata de Carvalho & Patrícia Alessandra Morita Sakowski, 2013. "Evaluating Multiple Spatial Dimensions of Economic Growth in Brazil Using Spatial Panel Data Models (1970 - 2000)," Discussion Papers 1830a, Instituto de Pesquisa Econômica Aplicada - IPEA.
    4. Juessen Falko, 2005. "A distribution dynamics approach to regional GDP convergence in reunified Germany," Urban/Regional 0506008, University Library of Munich, Germany.
    5. Túlio Cravo & Guilherme Resende, 2013. "Economic growth in Brazil: a spatial filtering approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(2), pages 555-575, April.
    6. Kounetas, Konstantinos Elias, 2018. "Energy consumption and CO2 emissions convergence in European Union member countries. A tonneau des Danaides?," Energy Economics, Elsevier, vol. 69(C), pages 111-127.
    7. Guilherme Mendes Resende & Alexandre Xavier Ywata Carvalho & Patrícia Alessandra Morita Sakowski & Túlio Antonio Cravo, 2016. "Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 1-31, January.
    8. Falko Juessen, 2005. "A distribution dynamics approach to regional income convergence in reunified Germany," ERSA conference papers ersa05p411, European Regional Science Association.
    9. Bandyopadhyay, Sanghamitra, 2012. "Convergence clubs in incomes across Indian states: Is there evidence of a neighbours’ effect?," Economics Letters, Elsevier, vol. 116(3), pages 565-570.
    10. Sarah J. Carrington & Pablo Jiménez‐Ayora, 2021. "Shedding light on the convergence debate: Using luminosity data to investigate economic convergence in Ecuador," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 200-227, February.
    11. , Aisdl, 2021. "Factors Determining the Development of Minimum Comparable Areas and Spatial Interaction," OSF Preprints 9e7xz, Center for Open Science.
    12. Laurini, Márcio P., 2007. "A note on the use of quantile regression in beta convergence analysis," Insper Working Papers wpe_95, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    13. Christiano M. Penna & Fabricio Linhares, 2011. "Convergênciae Formação de Clubes no Brasil sob aHipótese de Heterogeneidade no DesenvolvimentoTecnológico," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 87, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    14. Manso, Carlos Alberto & Barreto, Flávio Ataliba & de França, João Mário, 2010. "Retornos da Educação e o Desequilíbrio Regional no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 64(2), June.
    15. Tulio Antonio Cravo & Elias Soukiazis, 2009. "Educational Thresholds and Economic Growth: Empirical Evidence from Brazilian States," Working Papers 2009.1, International Network for Economic Research - INFER.
    16. Philippe De Vreyer & Gilles Spielvogel, 2005. "Spatial externalities between Brazilian municipios and their neighbours," Working Papers DT/2005/11, DIAL (Développement, Institutions et Mondialisation).
    17. Keunkwan Ryu & Yong Yoon, 2020. "Convergence or confusion? A study of world economic growth," Economics Bulletin, AccessEcon, vol. 40(4), pages 2819-2827.
    18. Eckey, Hans-Friedrich & Kosfeld, Reinhold & Türck, Matthias, 2004. "Regionale Produktionsfunktionen mit Spillover-Effekten für Deutschland," Volkswirtschaftliche Diskussionsbeiträge 64, University of Kassel, Faculty of Economics and Management.
    19. Eduardo de Carvalho Andrade & Márcio Laurini, 2010. "New Evidence on the Role of Cognitive Skill in Economic Development," IBMEC RJ Economics Discussion Papers 2010-01, Economics Research Group, IBMEC Business School - Rio de Janeiro.
    20. Sabyasachi Kar & Debajit Jha & Alpana Kateja, 2011. "Club‐convergence and polarization of states," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 4(1), pages 53-72, April.
    21. Mendez-Guerra, Carlos, 2017. "Heterogeneous Growth and Regional (Di)Convergence in Bolivia: A Distribution Dynamics Approach," MPRA Paper 81060, University Library of Munich, Germany.
    22. Philippe De Vreyer & Sandrine Mesplé-Somps & Gilles Spielvogel, 2005. "Spatial externalities between Brazilian municipios and their neighbours," ERSA conference papers ersa05p573, European Regional Science Association.
    23. Fotopoulos, Georgios, 2006. "Nonparametric analysis of regional income dynamics: The case of Greece," Economics Letters, Elsevier, vol. 91(3), pages 450-457, June.

  22. Andrade, Eduardo & Laurini, Márcio & Madalozzo, Regina & Pedro L. Valls Pereira, 2002. "Testing Convergence Across Municipalities in Brazil Using Quantile Regression," Insper Working Papers wpe_25, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.

    Cited by:

    1. Tamas Dusek, 2006. "Regional Income Differences in Hungary - A Multi-Level Spatio-Temporal Analysis," ERSA conference papers ersa06p284, European Regional Science Association.
    2. Laurini, Márcio P., 2007. "A note on the use of quantile regression in beta convergence analysis," Insper Working Papers wpe_95, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    3. Guilherme Mendes Resende & Lízia de Figueiredo, 2008. "Economic Growth Of Minas Gerais: A Quantile Regression Approach Between 1980 And 2000," Anais do XIII Semin·rio sobre a Economia Mineira [Proceedings of the 13th Seminar on the Economy of Minas Gerais], in: Anais do XIII Seminário sobre a Economia Mineira [Proceedings of the 13th Seminar on the Economy of Minas Gerais], Cedeplar, Universidade Federal de Minas Gerais.

  23. Almeida, N. & Pedro L. Valls Pereira, 2000. "Switching Regimes Models for financial time series: an empirical study for trading rules," Finance Lab Working Papers flwp_21, Finance Lab, Insper Instituto de Ensino e Pesquisa.

    Cited by:

    1. Fernando Henrique De Paula E Silva Mendes & Guilherme Valle Mour, 2014. "Evidências De Bull E Bear Market No Índice Bovespa: Uma Aplicação De Modelos De Regime Markoviano E Duration Dependence," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 138, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

  24. Viera Neto, C.A. & Pedro L. Valls Pereira, 2000. "Options on the One Day Interfinancial Deposits Index: Derivation of a Formula for the Calculation of the Arbitrage Free Price," Finance Lab Working Papers flwp_22, Finance Lab, Insper Instituto de Ensino e Pesquisa.

    Cited by:

    1. Claudio Henrique Barbedo & Octávio Bessada Lion & Jose Valentim Machado Vicente, 2010. "Pricing Asian Interest Rate Options with a Three-Factor HJM Model," Brazilian Review of Finance, Brazilian Society of Finance, vol. 8(1), pages 9-23.

  25. Pedro L. Valls Pereira & Hotta, L.K. & Souza, L.A.R., 1999. "Alternative Models to extract asset volatility: a comparative study," Finance Lab Working Papers flwp_14, Finance Lab, Insper Instituto de Ensino e Pesquisa.

    Cited by:

    1. Marçal, Emerson Fernandes & Pereira, Pedro L. Valls, 2008. "Testing the Hypothesis of Contagion Using Multivariate Volatility Models," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 28(2), November.
    2. José Fajardo & Aquiles Farias, 2002. "Generalized Hyperbolic Distributions and Brazilian Data," Working Papers Series 52, Central Bank of Brazil, Research Department.
    3. Fajardo, J. & Cajueiro, D. O., 2003. "Volatility Estimation and Option Pricing with Fractional Brownian Motion," Finance Lab Working Papers flwp_53, Finance Lab, Insper Instituto de Ensino e Pesquisa.
    4. Marçal, Emerson F. & Valls Pereira, Pedro L., 2008. "Testando A Hipótese De Contágio A Partir De Modelos Multivariados De Volatilidade [Testing the contagion hypotheses using multivariate volatility models]," MPRA Paper 10356, University Library of Munich, Germany.
    5. Douglas Gomes dos Santos & Flávio Augusto Ziegelmann, 2008. "Estimação de volatilidade em períodos de crise: Modelos aditivos semi-paramétricos versus modelos versus modelo Garch," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807201932370, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    6. Maurício Yoshinori Une & Marcelo Savino Portugal, 2005. "Fear of disruption: a model of Markov-switching regimes for the Brazilian country risk conditional volatility," Econometrics 0509005, University Library of Munich, Germany.
    7. Oliveira, André Barbosa & Pereira, Pedro L. Valls, 2018. "Uncertainty times for portfolio selection at financial market," Textos para discussão 473, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    8. Barbachan, José Fajardo & Schuschny, Andrés Ricardo & Silva, André de Castro, 2001. "Lévy processes and the Brazilian market," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 21(2), November.

  26. Viera Neto, C. A. & Pedro L. Valls Pereira, 1999. "Closed Form Formula for the Arbitrage Free Price of an Option for the One Day Interfinancial Deposits Index," Finance Lab Working Papers flwp_8, Finance Lab, Insper Instituto de Ensino e Pesquisa.

    Cited by:

    1. Caio Ibsen R. Almeida & José Valentim M. Vicente, 2006. "Term Structure Movements Implicit in Option Prices," Working Papers Series 128, Central Bank of Brazil, Research Department.
    2. Claudio Henrique Barbedo & Octávio Bessada Lion & Jose Valentim Machado Vicente, 2010. "Pricing Asian Interest Rate Options with a Three-Factor HJM Model," Brazilian Review of Finance, Brazilian Society of Finance, vol. 8(1), pages 9-23.

  27. Sallum, Elvia Mureb & Barbosa, Fernando de Holanda & Pereira, Pedro L. Valls, 1993. "A substituição de moeda no Brasil: a moeda indexada," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 224, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Cited by:

    1. Fernandez, Brena Paula Magno & Silveira, Antonio Maria da, 1994. "The economist Machiavelli," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 250, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    2. Cardoso, Renato Fragelli, 1995. "Entrepreneurial risk and labour's share in output," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 252, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    3. Ferreira, Pedro Cavalcanti, 1997. "A note on growth, welfare and public policy," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 298, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    4. Sandroni, Alvaro & Werlang, Sérgio Ribeiro da Costa, 1995. "A comment on 'Rational learning lead to nash equilibrium' by professors Ehud Kalai and Ehud Lehrer," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 256, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    5. Ferreira, Pedro Cavalcanti, 1995. "Welfare and fiscal policy with public goods and infrastructure," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 264, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    6. Ohana, Eduardo Felipe, 1997. "The Brazilian 1994 stabilization plan: an analytical view," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 307, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    7. Silveira, Antonio Maria da, 1994. "Pure economic theories:the temporary half-thuth," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 244, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    8. Ferreira, Pedro Cavalcanti, 1996. "Sustained growth, government expenditure and inflation," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 278, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    9. Ferreira, Pedro Cavalcanti, 1994. "Public expenditures taxation and welfare measurement," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 239, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    10. Ferreira, Pedro Cavalcanti, 1994. "A note on policy, the composition of public expenditures and economic growth," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 240, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

  28. Barbosa, Fernando de Holanda & Pereira, Pedro L. Valls, 1987. "Insucesso do plano cruzado : a evidência empírica da inflação 100% inércia para o Brasil," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 98, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Cited by:

    1. Werlang, Sérgio Ribeiro da Costa, 1988. "Common knowledge," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 118, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    2. Rocha, Roberto de Rezende, 1991. "Inflation and stabilization in Yugoslavia," Policy Research Working Paper Series 752, The World Bank.
    3. Francis A. Lees & James M. Botts & Rubens Penha Cysne, 1990. "Income and Demand Policies in Brazil," Palgrave Macmillan Books, in: Banking and Financial Deepening in Brazil, chapter 3, pages 55-87, Palgrave Macmillan.
    4. Cysne, Rubens Penha, 1988. "Brazilian economy in the eighties and the debt crisis," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 130, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    5. Tullio, Giuseppe & Ronci, Marcio Valerio, 1994. "Macroeconomic policy and credibility: a comparative study of the factors affecting brazilian and italian inflation after 1970," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 247, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

Articles

  1. Carlos Trucíos & João H. G. Mazzeu & Marc Hallin & Luiz K. Hotta & Pedro L. Valls Pereira & Mauricio Zevallos, 2022. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 40-52, December.
    See citations under working paper version above.
  2. Trucíos, Carlos & Mazzeu, João H.G. & Hotta, Luiz K. & Valls Pereira, Pedro L. & Hallin, Marc, 2021. "Robustness and the general dynamic factor model with infinite-dimensional space: Identification, estimation, and forecasting," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1520-1534.
    See citations under working paper version above.
  3. Trucíos, Carlos & Hotta, Luiz K. & Valls Pereira, Pedro L., 2019. "On the robustness of the principal volatility components," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 201-219.
    See citations under working paper version above.
  4. Tófoli Paula V. & Ziegelmann Flávio A. & Candido Osvaldo & Valls Pereira Pedro L., 2019. "Dynamic D-Vine Copula Model with Applications to Value-at-Risk (VaR)," Journal of Time Series Econometrics, De Gruyter, vol. 11(2), pages 1-34, July.
    See citations under working paper version above.
  5. Maximilian-Benedikt Herwarth Kohn & Pedro L. Valls Pereira, 2017. "Speculative bubbles and contagion: Analysis of volatility’s clusters during the DotCom bubble based on the dynamic conditional correlation model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1411453-141, January.
    See citations under working paper version above.
  6. Pedro Nielsen Rotta & Pedro L. Valls Pereira, 2016. "Analysis of contagion from the dynamic conditional correlation model with Markov Regime switching," Applied Economics, Taylor & Francis Journals, vol. 48(25), pages 2367-2382, May.

    Cited by:

    1. Oscar V. De la Torre-Torres & José Álvarez-García & María de la Cruz del Río-Rama, 2024. "An EM/MCMC Markov-Switching GARCH Behavioral Algorithm for Random-Length Lumber Futures Trading," Mathematics, MDPI, vol. 12(3), pages 1-20, February.
    2. Diego Ferreira & Andreza A. Palma, 2022. "On the subprime crisis and the Latin American financial markets: A regime switching skew‐normal approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3300-3314, July.
    3. Renée Fry-McKibbin & Cody Yu-Ling Hsiao & Vance L. Martin, 2017. "Joint tests of contagion with applications to financial crises," CAMA Working Papers 2017-65, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Mpoha, Salifya & Bonga-Bonga, Lumengo, 2021. "Spillover effects from China and the US to global emerging markets: a dynamic analysis," MPRA Paper 109349, University Library of Munich, Germany.
    5. Gu, Huaying & Liu, Zhixue & Weng, Yingliang, 2017. "Time-varying correlations in global real estate markets: A multivariate GARCH with spatial effects approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 460-472.
    6. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2020. "Markov-Switching Stochastic Processes in an Active Trading Algorithm in the Main Latin-American Stock Markets," Mathematics, MDPI, vol. 8(6), pages 1-23, June.
    7. Maximilian-Benedikt Herwarth Kohn & Pedro L. Valls Pereira, 2017. "Speculative bubbles and contagion: Analysis of volatility’s clusters during the DotCom bubble based on the dynamic conditional correlation model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1411453-141, January.
    8. Oscar V. De la Torre-Torres & Dora Aguilasocho-Montoya & María de la Cruz del Río-Rama, 2020. "A Two-Regime Markov-Switching GARCH Active Trading Algorithm for Coffee, Cocoa, and Sugar Futures," Mathematics, MDPI, vol. 8(6), pages 1-19, June.
    9. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2019. "A Test of Using Markov-Switching GARCH Models in Oil and Natural Gas Trading," Energies, MDPI, vol. 13(1), pages 1-24, December.
    10. Oussama Kchaou & Makram Bellalah & Sofiane Tahi, 2022. "Transmission of the Greek crisis on the sovereign debt markets in the euro area," Annals of Operations Research, Springer, vol. 313(2), pages 1117-1139, June.
    11. Wu, Bei & Wei, Xiaohua & Zhang, Yamei & Bai, Sijun, 2023. "Modeling dynamic environment effects on dependent failure processes with varying failure thresholds," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    12. Wei, Xiaohua & Bai, Sijun & Wu, Bei, 2023. "A novel shock-dependent preventive maintenance policy for degraded systems subject to dynamic environments and N-critical shocks," Reliability Engineering and System Safety, Elsevier, vol. 239(C).

  7. Bruno P. Arruda & Pedro L. Valls Pereira, 2013. "Analysis of the volatility's dependency structure during the subprime crisis," Applied Economics, Taylor & Francis Journals, vol. 45(36), pages 5031-5045, December.

    Cited by:

    1. Ben Slimane, Faten & Boubaker, Sabri & Jouini, Jamel, 2020. "Does the Euro–Mediterranean Partnership contribute to regional integration?," Journal of Policy Modeling, Elsevier, vol. 42(2), pages 328-348.
    2. Maximilian-Benedikt Herwarth Kohn & Pedro L. Valls Pereira, 2017. "Speculative bubbles and contagion: Analysis of volatility’s clusters during the DotCom bubble based on the dynamic conditional correlation model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1411453-141, January.

  8. Valls Pereira, Pedro L. & da Silva Fonseca, Marcelo Gonçalves, 2012. "Credit Shocks and Monetary Policy in Brazil: A Structural Favar Approach," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(2), April.
    See citations under working paper version above.
  9. Pedro Luiz Valls Pereira & Ricardo Pires de Souza Santos, 2011. "Modeling Financial Contagion using Copula," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(3), pages 335-363.

    Cited by:

    1. Marcelo Brutti Righi & Paulo Sergio Ceretta, 2012. "Global Risk Evolution and Diversification: a Copula-DCC-GARCH Model Approach," Brazilian Review of Finance, Brazilian Society of Finance, vol. 10(4), pages 529-550.

  10. Emerson Fernandes Marcal & Pedro Valls Pereira & Diogenes Manoel Leiva Martin & Wilson Toshiro Nakamura, 2011. "Evaluation of contagion or interdependence in the financial crises of Asia and Latin America, considering the macroeconomic fundamentals," Applied Economics, Taylor & Francis Journals, vol. 43(19), pages 2365-2379.
    See citations under working paper version above.
  11. Poletti Laurini, Márcio & Valls Pereira, Pedro L., 2009. "Conditional stochastic kernel estimation by nonparametric methods," Economics Letters, Elsevier, vol. 105(3), pages 234-238, December.
    See citations under working paper version above.
  12. Marçal, Emerson Fernandes & Pereira, Pedro L. Valls, 2008. "Testing the Hypothesis of Contagion Using Multivariate Volatility Models," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 28(2), November.
    See citations under working paper version above.
  13. Ricardo Fuscaldi de Figueiredo Baptista & Pedro L. Valls Pereira, 2008. "Analysis of performance of technical trading rules applied to the market of intraday Ibovespa index futures contracts," Brazilian Review of Finance, Brazilian Society of Finance, vol. 6(2), pages 205-234.

    Cited by:

    1. Mendes, Fernando Henrique de Paula e Silva & Caldeira, João Frois & Moura, Guilherme Valle, 2018. "Evidence of Bull and Bear Markets in the Bovespa index: An application of Markovian regime-switching Models with Duration Dependence," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 38(1), May.

  14. Soosung Hwang & Steve E. Satchell & Pedro L. Valls Pereira, 2007. "How Persistent is Stock Return Volatility? An Answer with Markov Regime Switching Stochastic Volatility Models," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(5‐6), pages 1002-1024, June.

    Cited by:

    1. Massimo Guidolin, 2011. "Markov Switching Models in Empirical Finance," Working Papers 415, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Subbotin, Alexandre, 2009. "Volatility Models: from Conditional Heteroscedasticity to Cascades at Multiple Horizons," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 94-138.
    3. Gulten Mero & Serge Darolles & Gaëlle Le Fol, 2015. "Financial Market Liquidity: Who Is Acting Strategically?," THEMA Working Papers 2015-14, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    4. Alexander Subbotin & Thierry Chauveau & Kateryna Shapovalova, 2009. "Volatility Models: from GARCH to Multi-Horizon Cascades," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00390636, HAL.
    5. Korkmaz, Turhan & Cevik, Emrah Ismail & Birkan, Elif & Özataç, Nesrin, 2010. "Testing CAPM using Markov switching model: the case of coal firms," MPRA Paper 71479, University Library of Munich, Germany, revised 2010.
    6. Hotta, Luiz Koodi & Trucíos Maza, Carlos César & Pereira, Pedro L. Valls & Zevallos Herencia, Mauricio Henrique, 2024. "Forecasting VaR and ES through Markov-switching GARCH models: does the specication matter?," Textos para discussão 567, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    7. Laurini, Márcio Poletti & Mauad, Roberto Baltieri, 2015. "A common jump factor stochastic volatility model," Finance Research Letters, Elsevier, vol. 12(C), pages 2-10.
    8. Dendramis, Yiannis & Kapetanios, George & Tzavalis, Elias, 2015. "Shifts in volatility driven by large stock market shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 130-147.
    9. Pan, Qi & Li, Yong, 2013. "Testing volatility persistence on Markov switching stochastic volatility models," Economic Modelling, Elsevier, vol. 35(C), pages 45-50.
    10. Helena Isidro & José G. Dias, 2017. "Earnings quality and the heterogeneous relation between earnings and stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 1143-1165, November.
    11. Dima, Bogdan & Dima, Ştefana Maria, 2017. "Mutual information and persistence in the stochastic volatility of market returns: An emergent market example," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 36-59.

  15. Soosung Hwang & Pedro L. Valls Pereira, 2006. "Small sample properties of GARCH estimates and persistence," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 473-494.
    See citations under working paper version above.
  16. Marcio Laurini & Eduardo Andrade & Pedro L. Valls Pereira, 2005. "Income convergence clubs for Brazilian Municipalities: a non-parametric analysis," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2099-2118.

    Cited by:

    1. Márcio Poletti Laurini, 2017. "A spatial error model with continuous random effects and an application to growth convergence," Journal of Geographical Systems, Springer, vol. 19(4), pages 371-398, October.
    2. Guilherme Mendes Resende & Alexandre Xavier Ywata de Carvalho & Patrícia Alessandra Morita Sakowski, 2013. "Evaluating Multiple Spatial Dimensions of Economic Growth in Brazil Using Spatial Panel Data Models (1970 - 2000)," Discussion Papers 1830a, Instituto de Pesquisa Econômica Aplicada - IPEA.
    3. Túlio Cravo & Guilherme Resende, 2013. "Economic growth in Brazil: a spatial filtering approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(2), pages 555-575, April.
    4. Cravo, Túlio A., 2011. "Are small employers more cyclically sensitive? Evidence from Brazil," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 754-769.
    5. Túlio Cravo, 2011. "Regional Economic Growth and SMEs in Brazil: a Spatial Analysis (Submission for the Refereed Y-session Papers)," ERSA conference papers ersa10p508, European Regional Science Association.
    6. Guilherme Mendes Resende & Alexandre Xavier Ywata Carvalho & Patrícia Alessandra Morita Sakowski & Túlio Antonio Cravo, 2016. "Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 1-31, January.
    7. Aparna Lolayekar & Pranab Mukhopadhyay, 2017. "Growth Convergence and Regional Inequality in India (1981–2012)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(2), pages 307-328, June.
    8. Thomas Gries & Manfred Kraft & Christina Pieck, 2011. "Interregional migration, self-selection and the returns to education in Brazil," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 707-732, June.
    9. Chhavi Tiwari & Sankalpa Bhattacharjee & Debkumar Chakrabarti, 2020. "Investigating Regional Inequalities in India: Are Indian Districts Converging?," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(5), pages 684-716, July.
    10. Eduardo A. Haddad & Jesús P. Mena-Chalco, Otavio J. G. Sidone, 2015. "Scholarly Collaboration in Regional Science in Developing Countries: The Case of the Brazilian REAL Network," Working Papers, Department of Economics 2015_12, University of São Paulo (FEA-USP).
    11. Laurini, Márcio P., 2007. "A note on the use of quantile regression in beta convergence analysis," Insper Working Papers wpe_95, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    12. Guillermo E. Perry & Omar S. Arias & J. Humberto López & William F. Maloney & Luis Servén, 2006. "Poverty Reduction and Growth : Virtuous and Vicious Circles," World Bank Publications - Books, The World Bank Group, number 6997.
    13. Aparna P Lolayekar & Pranab Mukhopadhyay, 2020. "“Understanding growth convergence in India (1981–2010): Looking beyond the usual suspects”," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-17, June.
    14. Chenglin Qin & Xinyue Ye & Yingxia Liu, 2017. "Spatial Club Convergence of Regional Economic Growth in Inland China," Sustainability, MDPI, vol. 9(7), pages 1-14, July.
    15. Răileanu-Szeles, Monica & Albu, Lucian, 2015. "Nonlinearities and divergences in the process of European financial integration," Economic Modelling, Elsevier, vol. 46(C), pages 416-425.
    16. Michael Funke & Roberta Colavecchio & Declan Curran, 2011. "Drifting together of falling apart? The empirics of regional economic growth in post-unification Germany," Quantitative Macroeconomics Working Papers 21102, Hamburg University, Department of Economics.
    17. Túlio Cravo, 2011. "Are Small Firms more cyclically Sensitive than Large Ones? National, Regional and Sectoral Evidence from Brazil," ERSA conference papers ersa10p507, European Regional Science Association.
    18. Omid Ranjbar & Tsangyao Chang & Chien-Chiang Lee & Zahra Mila Elmi, 2018. "Catching-up process in the transition countries," Economic Change and Restructuring, Springer, vol. 51(3), pages 249-278, August.
    19. Túlio A. Cravo, 2010. "SMEs and economic growth in the Brazilian micro‐regions," Papers in Regional Science, Wiley Blackwell, vol. 89(4), pages 711-734, November.
    20. Eduardo A. Haddad & Jesús P. Mena-Chalco & Otávio J. G. Sidone, 2017. "Scholarly Collaboration in Regional Science in Developing Countries," International Regional Science Review, , vol. 40(5), pages 500-529, September.

  17. Andrade, Eduardo & Laurini, Marcio & Madalozzo, Regina & Valls Pereira, Pedro L., 2004. "Convergence clubs among Brazilian municipalities," Economics Letters, Elsevier, vol. 83(2), pages 179-184, May.
    See citations under working paper version above.
  18. Luiz Hotta & Pedro Pereira & Rissa Ota, 2004. "Effect of outliers on forecasting temporally aggregated flow variables," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 13(2), pages 371-402, December.

    Cited by:

    1. Andrea, SILVESTRINI, 2005. "Temporal aggregaton of univariate linear time series models," Discussion Papers (ECON - Département des Sciences Economiques) 2005044, Université catholique de Louvain, Département des Sciences Economiques.

  19. Marçal, Emerson Fernandes & Pereira, Pedro Luiz Valls & Filho, Otaviano Canuto dos Santos, 2003. "Paridade do Poder de Compra: Testando Dados Brasileiros," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 57(1), January.

    Cited by:

    1. Simões, Oscar R. & Marçal, Emerson Fernandes, 2012. "Agregação temporal e não-linearidade afetam os testes da paridade do poder de compra: Evidência a partir de dados brasileiros," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 66(3), October.

  20. Neto, Cícero Augusto Vieira & Pereira, Pedro L. Valls, 2001. "Review of major results of Martingale theory applied to the valuation of contingent claims," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 21(2), November.

    Cited by:

    1. Laurini, Márcio Poletti & Mauad, Roberto Baltieri, 2012. "Non-Parametric Pricing of Interest Rates Options," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(2), April.
    2. Zimmer, Christian Johannes, 2003. "The Use of Martingale Theory for the Superreplication of Exotic Options in Incomplete Markets," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 23(2), November.

  21. Pereira, Pedro L. Valls & Holland, Márcio, 1999. "Taxa de Câmbio Real e Paridade de Poder de Compra no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 53(3), July.

    Cited by:

    1. Simões, Oscar R. & Marçal, Emerson Fernandes, 2012. "Agregação temporal e não-linearidade afetam os testes da paridade do poder de compra: Evidência a partir de dados brasileiros," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 66(3), October.

  22. Pereira, Pedro L. Valls & Hotta, Luiz K. & Souza, Luiz Alvares R. de & Almeida, Nuno Miguel C. G. de, 1999. "Alternative Models To Extract Asset Volatility: A Comparative Study," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 19(1), May.
    See citations under working paper version above.
  23. Hotta, Luiz K. & Morettin, Pedro A. & Pereira, Pedro L. Valls, 1992. "The Effect of Overlapping Aggregation on Time Series Models: An Application to the Unemployment Rate in Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 12(2), November.

    Cited by:

    1. Athanasopoulos, George & Hyndman, Rob J. & Kourentzes, Nikolaos & Panagiotelis, Anastasios, 2024. "Forecast reconciliation: A review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 430-456.

  24. Harvey, A. C. & Pereira, Pedro Luiz Valls, 1985. "The estimation of dynamic models with missing observations," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 5(2), November.

    Cited by:

    1. Ito, Nobuyasu, 1993. "Non-equilibrium relaxation and interface energy of the Ising model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 196(4), pages 591-614.

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