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Guilherme Valle Moura

Personal Details

First Name:Guilherme
Middle Name:Valle
Last Name:Moura
Suffix:
RePEc Short-ID:pmo897
https://sites.google.com/site/guilhermevallemoura/

Affiliation

Centro Sócio-Econômico
Universidade Federal de Santa Catarina

Florianópolis, Brazil
http://www.cse.ufsc.br/

: (048) 231-9560
(048) 231-9585
Campus Universitário s/n. - Trindade, Trindade, CP 476, CEP: 88010-970 Florianópolis - SC
RePEc:edi:csufsbr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Fabricio Tourrucôo & João F. Caldeira & Guilherme V. Moura & André A. P. Santos, 2016. "Forecasting The Yield Curve With The Arbitrage-Free Dynamic Nelson-Siegel Model: Brazilian Evidence," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 028, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  2. Sidney Martins Caetano & Guilherme Valle Moura, 2014. "Um Modelo Macroeconômico Híbrido Para O Brasil: Um Mix De Modelos Dsge E Var," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 059, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  3. Janine Pessanha De Carvalho & Guilherme Valle Moura, 2014. "Modelo De Fatores Dinâmicos: Estimação E Previsão Da Curva Real De Juros," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 043, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  4. Guilherme Valle Moura & João Frois Caldeira & André Santos, 2014. "Seleção De Carteiras Utilizando O Modelofama-French-Carhart," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 117, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  5. Joao Frois Caldeira & Guilherme Valle Moura & Marcelo Savino Portugal, 2011. "Efficient Interest Ratecurve Estimation And Forecasting In Brazil," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 133, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  6. Sidney Martins Caetano & Guilherme Valle Moura, 2011. "Reajuste Informacionalno Brasil: uma aplicação da curva de Phillips sobrigidez de informação," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 54, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  7. Morales-Arias, Leonardo & Moura, Guilherme V., 2010. "A conditionally heteroskedastic global inflation model," Kiel Working Papers 1666, Kiel Institute for the World Economy (IfW).
  8. DeJong, David Neil & Dharmarajan, Hariharan & Liesenfeld, Roman & Moura, Guilherme V. & Richard, Jean-François, 2009. "Efficient likelihood evaluation of state-space representations," Economics Working Papers 2009-02, Christian-Albrechts-University of Kiel, Department of Economics.
  9. Liesenfeld, Roman & Moura, Guilherme V. & Richard, Jean-François, 2009. "Determinants and dynamics of current account reversals: an empirical analysis," Economics Working Papers 2009-04, Christian-Albrechts-University of Kiel, Department of Economics.
  10. Moura, Guilherme V. & Richard, Jean-François & Liesenfeld, Roman, 2007. "Dynamic Panel Probit Models for Current Account Reversals and their Efficient Estimation," Economics Working Papers 2007-11, Christian-Albrechts-University of Kiel, Department of Economics.
  11. De Lima, Gabrielle & Moura, Guilherme & Meurer, Roberto & Da Silva, Sergio, 2007. "US Current Account Deficit and Exchange Rate Tax," MPRA Paper 3908, University Library of Munich, Germany.
  12. Guilherme, Moura & Sergio, Da Silva, 2006. "Testing the Equilibrium Exchange Rate Model - Updated," MPRA Paper 1871, University Library of Munich, Germany.
  13. Guilherme Moura & Sergio Da Silva, 2005. "Is There a Brazilian J-Curve?," International Finance 0505001, University Library of Munich, Germany.
  14. Roberto Meurer & Guilherme Moura & Sergio Da Silva, 2005. "Travel Hysteresis in the US Current Account After the Mid-1980s," Economic History 0511002, University Library of Munich, Germany.
  15. Guilherme Moura & Sergio Da Silva, 2005. "Testing the Equilibrium Exchange Rate Model," International Finance 0505018, University Library of Munich, Germany.
  16. Roberto Meurer & Guilherme Moura & Sergio Da Silva, 2005. "Travel Hysteresis in the Brazilian Current Account," International Trade 0509007, University Library of Munich, Germany.
  17. Sidney Caetano & Guilherme Moura & Sergio Da Silva, 2004. "Big Mac Parity, Income, and Trade," International Finance 0407011, University Library of Munich, Germany.

Articles

  1. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(2), pages 247-285.
  2. Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016. "Predicting the yield curve using forecast combinations," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 79-98.
  3. Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016. "Bond portfolio optimization using dynamic factor models," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 128-158.
  4. Geoffrey M. Steeves & Francis Carlo Petterini & Guilherme V. Moura, 2015. "The interiorization of Brazilian violence, policing, and economic growth," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 16(3), pages 359-375.
  5. Caldeira, João F. & Moura, Guilherme V. & Santos, André A. P., 2015. "Previsões Macroeconômicas Baseadas em Modelos TVP-VAR: Evidências Para o Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(4), December.
  6. Guilherme Demos & Thomas Pires & Guilherme Valle Moura, 2015. "Portfolio Optimisation and Endogenous Rebalancing Methods," Brazilian Review of Finance, Brazilian Society of Finance, vol. 13(4), pages 544-570.
  7. João Caldeira & Guilherme Moura & André Santos, 2015. "Measuring Risk in Fixed Income Portfolios using Yield Curve Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 65-82, June.
  8. Moura, Guilherme Valle, 2015. "Multiplicadores Fiscais e Investimento em Infraestrutura," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(1), March.
  9. Moura, Guilherme V. & Turatti, Douglas Eduardo, 2014. "Efficient estimation of conditionally linear and Gaussian state space models," Economics Letters, Elsevier, vol. 124(3), pages 494-499.
  10. Santos, André A.P. & Moura, Guilherme V., 2014. "Dynamic factor multivariate GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 606-617.
  11. Roman Liesenfeld & Guilherme V. Moura & Jean-François Richard & Hariharan Dharmarajan, 2013. "Efficient Likelihood Evaluation of State-Space Representations," Review of Economic Studies, Oxford University Press, vol. 80(2), pages 538-567.
  12. Morales-Arias, Leonardo & Moura, Guilherme V., 2013. "Adaptive forecasting of exchange rates with panel data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 493-509.
  13. Caldeira, João F & Moura, Guilherme Valle & Santos, André Alves Portela, 2013. "Seleção de carteiras utilizando o modelo Fama-French-Carhart," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
  14. João Caldeira & Guilherme Moura & André A.P. Santos, 2012. "Portfolio optimization using a parsimonious multivariate GARCH model: application to the Brazilian stock market," Economics Bulletin, AccessEcon, vol. 32(3), pages 1848-1857.
  15. Gijsbert Suren & Guilherme Moura, 2012. "Heteroskedastic Dynamic Factor Models: A Monte Carlo Study," Economics Bulletin, AccessEcon, vol. 32(4), pages 2884-2898.
  16. Roman Liesenfeld & Guilherme Valle Moura & Jean‐François Richard, 2010. "Determinants and Dynamics of Current Account Reversals: An Empirical Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 486-517, August.
  17. Ricardo Azevedo Araujo & Guilherme V. Moura & Marcelo S. Portugal, 2010. "Efficient Yield Curve Estimation and Forecasting in Brazil," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 11(1), pages 27-51.
  18. Sergio Da Silva & Guilherme Moura, 2005. "Is There a Brazilian J-Curve?," Economics Bulletin, AccessEcon, vol. 6(10), pages 1-17.
  19. Sergio Da Silva & Guilherme Moura & Roberto Meurer, 2005. "Travel hysteresis in the US current account after the mid-1980s," Economics Bulletin, AccessEcon, vol. 14(2), pages 1-10.
  20. Sergio Da Silva & Guilherme Moura & Roberto Meurer, 2005. "Travel hysteresis in the Brazilian current account," Economics Bulletin, AccessEcon, vol. 6(24), pages 1-17.
  21. Sergio Da Silva & Guilherme Moura & Sidney Caetano, 2004. "Big Mac parity, income, and trade," Economics Bulletin, AccessEcon, vol. 6(12), pages 1-8.

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. Guilherme Valle Moura & João Frois Caldeira & André Santos, 2014. "Seleção De Carteiras Utilizando O Modelofama-French-Carhart," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 117, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    Cited by:

    1. Paulo Ferreira Naibert & João F. Caldeira, 2016. "Seleção De Carteiras Com Restrição Das Normas Das Posições: Uma Comparação Empírica Entre Diferentes Níveis De Restrição De Exposição Para Dados Da Bm&Fbovespa," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 132, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    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.

  2. Sidney Martins Caetano & Guilherme Valle Moura, 2011. "Reajuste Informacionalno Brasil: uma aplicação da curva de Phillips sobrigidez de informação," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 54, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    Cited by:

    1. Machado, Vicente da Gama & Portugal, Marcelo Savino, 2014. "Measuring inflation persistence in Brazil using a multivariate model," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(2), June.

  3. Morales-Arias, Leonardo & Moura, Guilherme V., 2010. "A conditionally heteroskedastic global inflation model," Kiel Working Papers 1666, Kiel Institute for the World Economy (IfW).

    Cited by:

    1. Gijsbert Suren & Guilherme Moura, 2012. "Heteroskedastic Dynamic Factor Models: A Monte Carlo Study," Economics Bulletin, AccessEcon, vol. 32(4), pages 2884-2898.
    2. Pincheira, Pablo, 2017. "A Power Booster Factor for Out-of-Sample Tests of Predictability," MPRA Paper 77027, University Library of Munich, Germany.

  4. DeJong, David Neil & Dharmarajan, Hariharan & Liesenfeld, Roman & Moura, Guilherme V. & Richard, Jean-François, 2009. "Efficient likelihood evaluation of state-space representations," Economics Working Papers 2009-02, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

    1. Jean-François Richard, 2015. "Likelihood Evaluation of High-Dimensional Spatial Latent Gaussian Models with Non-Gaussian Response Variables," Working Paper 5778, Department of Economics, University of Pittsburgh.
    2. Henzel, Steffen R. & Rengel, Malte, 2017. "Dimensions of macroeconomic uncertainty: a common factor analysis," Munich Reprints in Economics 49932, University of Munich, Department of Economics.
    3. Moura, Guilherme V. & Turatti, Douglas Eduardo, 2014. "Efficient estimation of conditionally linear and Gaussian state space models," Economics Letters, Elsevier, vol. 124(3), pages 494-499.
    4. Hall, Jamie & Pitt, Michael K. & Kohn, Robert, 2014. "Bayesian inference for nonlinear structural time series models," Journal of Econometrics, Elsevier, vol. 179(2), pages 99-111.
    5. Ozturk, Serda Selin & Richard, Jean-Francois, 2015. "Stochastic volatility and leverage: Application to a panel of S&P500 stocks," Finance Research Letters, Elsevier, vol. 12(C), pages 67-76.
    6. Andreasen, Martin M., 2011. "Non-linear DSGE models and the optimized central difference particle filter," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1671-1695, October.
    7. Kleppe, Tore Selland & Oglend, Atle, 2017. "Estimating the competitive storage model: A simulated likelihood approach," Econometrics and Statistics, Elsevier, vol. 4(C), pages 39-56.

  5. Liesenfeld, Roman & Moura, Guilherme V. & Richard, Jean-François, 2009. "Determinants and dynamics of current account reversals: an empirical analysis," Economics Working Papers 2009-04, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

    1. Yin-Wong Cheung & Sven Steinkamp & Frank Westermann, 2019. "A tale of two surplus countries: China and Germany," CESifo Working Paper Series 7669, CESifo Group Munich.
    2. Theofilakou, Nancy & Stournaras, Yannis, 2012. "Current account adjustments in OECD countries revisited: The role of the fiscal stance," Journal of Policy Modeling, Elsevier, vol. 34(5), pages 719-734.
    3. Jean-François Richard, 2015. "Likelihood Evaluation of High-Dimensional Spatial Latent Gaussian Models with Non-Gaussian Response Variables," Working Paper 5778, Department of Economics, University of Pittsburgh.
    4. Geert Mesters & Siem Jan Koopman, 2012. "Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time," Tinbergen Institute Discussion Papers 12-009/4, Tinbergen Institute, revised 18 Mar 2014.
    5. Martin Bijsterbosch & Tatjana Dahlhaus, 2015. "Key features and determinants of credit-less recoveries," Empirical Economics, Springer, vol. 49(4), pages 1245-1269, December.
    6. Bijsterbosch, Martin & Dahlhaus, Tatjana, 2011. "Determinants of credit-less recoveries," Working Paper Series 1358, European Central Bank.
    7. Yin-Wong Cheung & Sven Steinkamp & Frank Westermann, 2019. "A Tale of Two Surplus Countries: China and Germany," GRU Working Paper Series GRU_2019_010, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.

  6. Moura, Guilherme V. & Richard, Jean-François & Liesenfeld, Roman, 2007. "Dynamic Panel Probit Models for Current Account Reversals and their Efficient Estimation," Economics Working Papers 2007-11, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

    1. Rodrigo Zeidan, 2014. "Voluntary corporate governance with an empirical application," Applied Financial Economics, Taylor & Francis Journals, vol. 24(12), pages 837-851, June.
    2. Luiz de Mello & Pier Carlo Padoan & Linda Rousová, 2012. "Are Global Imbalances Sustainable? Shedding Further Light on the Causes of Current Account Reversals," Review of International Economics, Wiley Blackwell, vol. 20(3), pages 489-516, August.

  7. Guilherme Moura & Sergio Da Silva, 2005. "Is There a Brazilian J-Curve?," International Finance 0505001, University Library of Munich, Germany.

    Cited by:

    1. Peguero, Anadel G. & Cruz-Rodríguez, Alexis, 2016. "Condición Marshall-Lerner y el efecto Curva J: Evidencias para la República Dominicana
      [Marshall-Lerner Condition and J-Curve Effect: Evidence for the Dominican Republic]
      ," MPRA Paper 71535, University Library of Munich, Germany.
    2. Raifu, Isiaka Akande & Aminu, Alarudeen & Adeniyi, Oluwatosin Ademola, 2019. "What nexus exists between exchange rate and trade balance? The case of Nigeria vis-à-vis UK, US and Hong Kong," MPRA Paper 92976, University Library of Munich, Germany.
    3. Bustamante, Rafael & Morales, Fedor, 2009. "Probando la condición de Marshall-Lerner y el efecto Curva-J: Evidencia empírica para el caso peruano," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 16, pages 103-126.
    4. Guttler, Caio & Meurer, Roberto & Da Silva, Sergio, 2006. "Informational inefficiency of the Brazilian stockmarket," MPRA Paper 1980, University Library of Munich, Germany.
    5. Rustam Jamilov, 2013. "J-Curve Dynamics and the Marshall–Lerner Condition: Evidence from Azerbaijan," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(3), pages 313-323, February.
    6. Reis, Luciana & Meurer, Roberto & Da Silva, Sergio, 2008. "Stock returns and foreign investment in Brazil," MPRA Paper 23028, University Library of Munich, Germany.
    7. Sergio Da Silva & Annibal Figueiredo & Iram Gleria & Raul Matsushita, 2007. "Hurst exponents, power laws, and efficiency in the Brazilian foreign exchange market," Economics Bulletin, AccessEcon, vol. 7(1), pages 1-11.
    8. Jamilov, Rustam, 2011. "J-Curve Dynamics and the Marshall-Lerner Condition: Evidence from Azerbaijan," MPRA Paper 36799, University Library of Munich, Germany, revised Feb 2012.
    9. Halicioglu, Ferda, 2007. "The Bilateral J-curve: Turkey versus her 13 Trading Partners," MPRA Paper 3564, University Library of Munich, Germany.
    10. Mohsen Bahmani-Oskooee & Muhammad Aftab, 2017. "Malaysia–Korea Commodity Trade: Are there Asymmetric Responses to Exchange Rate Changes?," Economic Papers, The Economic Society of Australia, vol. 36(2), pages 198-222, June.
    11. Mohsen Bahmani-Oskooee & Niloy Bose & Yun Zhang, 2018. "Asymmetric Cointegration, Nonlinear ARDL, and the J-Curve: A Bilateral Analysis of China and Its 21 Trading Partners," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(13), pages 3131-3151, October.
    12. Bahmani-Oskooee, Mohsen & Aftab, Muhammad & Harvey, Hanafiah, 2016. "Asymmetry cointegration and the J-curve: New evidence from Malaysia-Singapore commodity trade," The Journal of Economic Asymmetries, Elsevier, vol. 14(PB), pages 211-226.
    13. Mohsen Bahmani-Oskooee & Muhammad Aftab, 2017. "Asymmetric Effects of Exchange Rate Changes and the J-curve: New Evidence from 61 Malaysia–Thailand Industries," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 30-46, November.

  8. Guilherme Moura & Sergio Da Silva, 2005. "Testing the Equilibrium Exchange Rate Model," International Finance 0505018, University Library of Munich, Germany.

    Cited by:

    1. Guilherme, Moura & Sergio, Da Silva, 2006. "Testing the Equilibrium Exchange Rate Model - Updated," MPRA Paper 1871, University Library of Munich, Germany.

  9. Roberto Meurer & Guilherme Moura & Sergio Da Silva, 2005. "Travel Hysteresis in the Brazilian Current Account," International Trade 0509007, University Library of Munich, Germany.

    Cited by:

    1. Sergio Da Silva & Guilherme Moura & Roberto Meurer, 2005. "Travel hysteresis in the US current account after the mid-1980s," Economics Bulletin, AccessEcon, vol. 14(2), pages 1-10.

  10. Sidney Caetano & Guilherme Moura & Sergio Da Silva, 2004. "Big Mac Parity, Income, and Trade," International Finance 0407011, University Library of Munich, Germany.

    Cited by:

    1. Duc Hong Vo & Anh The Vo, 2017. "Currency evaluation using a big mac index for Thailand – lessons for Vietnam," Economics Bulletin, AccessEcon, vol. 37(2), pages 999-1011.

Articles

  1. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(2), pages 247-285.

    Cited by:

    1. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    2. 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).
    3. A Clements & M Doolan, 2018. "Combining Multivariate Volatility Forecasts using Weighted Losses," NCER Working Paper Series 119, National Centre for Econometric Research.
    4. Ma, Feng & Zhang, Yaojie & Huang, Dengshi & Lai, Xiaodong, 2018. "Forecasting oil futures price volatility: New evidence from realized range-based volatility," Energy Economics, Elsevier, vol. 75(C), pages 400-409.

  2. Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016. "Predicting the yield curve using forecast combinations," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 79-98.

    Cited by:

    1. Almaguer, F-Javier & Amezcua, Omar González & Morales-Castillo, Javier & Soto-Villalobos, Roberto, 2018. "Riemann and Weierstrass walks revisited," Applied Mathematics and Computation, Elsevier, vol. 319(C), pages 518-526.
    2. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    3. Marcel Ausloos & Roy Cerqueti & Francesca Bartolacci & Nicola G. Castellano, 2018. "SME investment best strategies. Outliers for assessing how to optimize performance," Papers 1807.09583, arXiv.org.
    4. Wang, Ce & Li, Bing-Bing & Liang, Qiao-Mei & Wang, Jin-Cheng, 2018. "Has China’s coal consumption already peaked? A demand-side analysis based on hybrid prediction models," Energy, Elsevier, vol. 162(C), pages 272-281.
    5. Stona, Filipe & Caldeira, João F., 2019. "Do U.S. factors impact the Brazilian yield curve? Evidence from a dynamic factor model," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 76-89.
    6. Joao F. Caldeira & Rangan Gupta & Tahir Suleman & Hudson S. Torrent, 2019. "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Working Papers 201911, University of Pretoria, Department of Economics.
    7. Wali ULLAH & Khadija Malik BARI, 2018. "The Term Structure of Government Bond Yields in an Emerging Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-28, September.

  3. Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016. "Bond portfolio optimization using dynamic factor models," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 128-158.

    Cited by:

    1. Tu, Anthony H. & Chen, Cathy Yi-Hsuan, 2018. "A factor-based approach of bond portfolio value-at-risk: The informational roles of macroeconomic and financial stress factors," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 243-268.
    2. George Kapetanios & Laura Serlenga & Yongcheol Shin, 2019. "Estimation and Inference for Multi-dimensional Heterogeneous Panel Datasets with Hierarchical Multi-factor Error Structure," SERIES 03-2019, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Jun 2019.
    3. Joao F. Caldeira & Rangan Gupta & Tahir Suleman & Hudson S. Torrent, 2019. "Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis," Working Papers 201911, University of Pretoria, Department of Economics.
    4. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson‐Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    5. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    6. Caro Navarro, Ángela & Peña Sánchez de Rivera, Daniel, 2018. "Estimation of the common component in Dynamic Factor Models," DES - Working Papers. Statistics and Econometrics. WS 27047, Universidad Carlos III de Madrid. Departamento de Estadística.

  4. João Caldeira & Guilherme Moura & André Santos, 2015. "Measuring Risk in Fixed Income Portfolios using Yield Curve Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 65-82, June.

    Cited by:

    1. Tu, Anthony H. & Chen, Cathy Yi-Hsuan, 2018. "A factor-based approach of bond portfolio value-at-risk: The informational roles of macroeconomic and financial stress factors," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 243-268.
    2. Anthony H. Tu & Cathy Yi-Hsuan Chen, 2016. "What Derives the Bond Portfolio Value-at-Risk: Information Roles of Macroeconomic and Financial Stress Factors," SFB 649 Discussion Papers SFB649DP2016-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson‐Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    4. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Schlütter, Sebastian, 2017. "Scenario-based capital requirements for the interest rate risk of insurance companies," ICIR Working Paper Series 28/17, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).

  5. Moura, Guilherme Valle, 2015. "Multiplicadores Fiscais e Investimento em Infraestrutura," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(1), March.

    Cited by:

    1. Alejandro C. Garcia-Cintado & Celso Jose Costa Junior (celso.costa@fgv.br) & Armando Vaz Sampaio (avsampaio@ufpr.br), 2016. "Post-2008 Brazilian Fiscal Policy: an Interpretation through the Analysis of Fiscal Multipliers," EcoMod2016 9528, EcoMod.
    2. Mora, Jose U Mora & Acevedo, Rafael A, 2019. "Fiscal Policy Effects and Capital Mobility in Latin American Countries," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 34(1), pages 159-188.
    3. Grudter, Vanessa & Aragon, Edilean Kleber, 2017. "Multiplicador dos gastos do governo em períodos de expansão e recessão: evidências empíricas para o Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 71(3), September.

  6. Moura, Guilherme V. & Turatti, Douglas Eduardo, 2014. "Efficient estimation of conditionally linear and Gaussian state space models," Economics Letters, Elsevier, vol. 124(3), pages 494-499.

    Cited by:

    1. Joshua C.C. Chan, 2015. "Specification tests for time-varying parameter models with stochastic volatility," CAMA Working Papers 2015-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

  7. Santos, André A.P. & Moura, Guilherme V., 2014. "Dynamic factor multivariate GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 606-617.

    Cited by:

    1. Francq, Christian & Sucarrat, Genaro, 2017. "An equation-by-equation estimator of a multivariate log-GARCH-X model of financial returns," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 16-32.
    2. Trucíos, Carlos & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz K. & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    3. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(1), pages 1-34, March.
    4. Mengheng Li & Marcel Scharth, 2018. "Leverage, asymmetry and heavy tails in the high-dimensional factor stochastic volatility model," Working Paper Series 49, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    5. João Caldeira & Guilherme Moura & André Santos, 2015. "Measuring Risk in Fixed Income Portfolios using Yield Curve Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 65-82, June.
    6. João Caldeira & Guilherme Moura & André A.P. Santos, 2012. "Portfolio optimization using a parsimonious multivariate GARCH model: application to the Brazilian stock market," Economics Bulletin, AccessEcon, vol. 32(3), pages 1848-1857.
    7. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(2), pages 247-285.
    8. Gijsbert Suren & Guilherme Moura, 2012. "Heteroskedastic Dynamic Factor Models: A Monte Carlo Study," Economics Bulletin, AccessEcon, vol. 32(4), pages 2884-2898.
    9. Guilherme Valle Moura & João Frois Caldeira & André Santos, 2014. "Seleção De Carteiras Utilizando O Modelofama-French-Carhart," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 117, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    10. Abdul Aziz, Nor Syahilla & Vrontos, Spyridon & M. Hasim, Haslifah, 2019. "Evaluation of multivariate GARCH models in an optimal asset allocation framework," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 568-596.
    11. 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).

  8. Roman Liesenfeld & Guilherme V. Moura & Jean-François Richard & Hariharan Dharmarajan, 2013. "Efficient Likelihood Evaluation of State-Space Representations," Review of Economic Studies, Oxford University Press, vol. 80(2), pages 538-567.
    See citations under working paper version above.
  9. Morales-Arias, Leonardo & Moura, Guilherme V., 2013. "Adaptive forecasting of exchange rates with panel data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 493-509.

    Cited by:

    1. Gaglianone, Wagner Piazza & Guillén, Osmani Teixeira de Carvalho & Figueiredo, Francisco Marcos Rodrigues, 2018. "Estimating inflation persistence by quantile autoregression with quantile-specific unit roots," Economic Modelling, Elsevier, vol. 73(C), pages 407-430.
    2. Kouwenberg, Roy & Markiewicz, Agnieszka & Verhoeks, Ralph & Zwinkels, Remco C. J., 2017. "Model Uncertainty and Exchange Rate Forecasting," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 341-363, February.
    3. Michał Chojnowski & Piotr Dybka, 2017. "Is Exchange Rate Moody? Forecasting Exchange Rate with Google Trends Data," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 2(1), pages 1-21, June.
    4. Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & Francisco Marcos Rodrigues Figueiredo, 2015. "Local Unit Root and Inflationary Inertia in Brazil," Working Papers Series 406, Central Bank of Brazil, Research Department.
    5. Wagner Piazza Gaglianone & Jaqueline Terra Moura Marins, 2014. "Risk Assessment of the Brazilian FX Rate," Working Papers Series 344, Central Bank of Brazil, Research Department.
    6. Gaglianone, Wagner Piazza & Marins, Jaqueline Terra Moura, 2017. "Evaluation of exchange rate point and density forecasts: An application to Brazil," International Journal of Forecasting, Elsevier, vol. 33(3), pages 707-728.
    7. Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016. "Predicting the yield curve using forecast combinations," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 79-98.
    8. He, Kaijian & Chen, Yanhui & Tso, Geoffrey K.F., 2018. "Forecasting exchange rate using Variational Mode Decomposition and entropy theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 15-25.

  10. Caldeira, João F & Moura, Guilherme Valle & Santos, André Alves Portela, 2013. "Seleção de carteiras utilizando o modelo Fama-French-Carhart," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    See citations under working paper version above.
  11. Roman Liesenfeld & Guilherme Valle Moura & Jean‐François Richard, 2010. "Determinants and Dynamics of Current Account Reversals: An Empirical Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 486-517, August.
    See citations under working paper version above.
  12. Ricardo Azevedo Araujo & Guilherme V. Moura & Marcelo S. Portugal, 2010. "Efficient Yield Curve Estimation and Forecasting in Brazil," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 11(1), pages 27-51.

    Cited by:

    1. Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016. "Predicting the yield curve using forecast combinations," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 79-98.
    2. Caldeira, João F. & Laurini, Márcio P. & Portugal, Marcelo S., 2010. "Bayesian Inference Applied to Dynamic Nelson-Siegel Model with Stochastic Volatility," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(1), October.

  13. Sergio Da Silva & Guilherme Moura, 2005. "Is There a Brazilian J-Curve?," Economics Bulletin, AccessEcon, vol. 6(10), pages 1-17.
    See citations under working paper version above.
  14. Sergio Da Silva & Guilherme Moura & Roberto Meurer, 2005. "Travel hysteresis in the Brazilian current account," Economics Bulletin, AccessEcon, vol. 6(24), pages 1-17.
    See citations under working paper version above.
  15. Sergio Da Silva & Guilherme Moura & Sidney Caetano, 2004. "Big Mac parity, income, and trade," Economics Bulletin, AccessEcon, vol. 6(12), pages 1-8.
    See citations under working paper version above.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-IFN: International Finance (3) 2007-02-24 2007-06-30 2007-07-13
  2. NEP-CBA: Central Banking (2) 2007-06-30 2009-09-19
  3. NEP-DCM: Discrete Choice Models (2) 2007-06-30 2009-09-19
  4. NEP-DGE: Dynamic General Equilibrium (2) 2009-09-19 2014-03-15
  5. NEP-ECM: Econometrics (2) 2007-06-30 2009-09-19
  6. NEP-ETS: Econometric Time Series (1) 2009-09-19
  7. NEP-FOR: Forecasting (1) 2011-11-07
  8. NEP-OPM: Open Economy Macroeconomics (1) 2009-09-19

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