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Andre Alves Portela Santos

Personal Details

First Name:Andre
Middle Name:Alves Portela
Last Name:Santos
Suffix:
RePEc Short-ID:psa341

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. Perlin, Marcelo & Santos, André & Imasato, Takeyoshi & Borenstein, Denis & Da Silva, Sergio, 2017. "The Brazilian scientific output published in journals: A study based on a large CV database," MPRA Paper 79662, University Library of Munich, Germany.
  2. 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].
  3. R. Ferreira, Alexandre & A. P. Santos, Andre, 2016. "On the choice of covariance specifications for portfolio selection problems," MPRA Paper 73259, University Library of Munich, Germany.
  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. Goulart, Marco & Da Costa Jr, Newton & Santos, Andre & Takase, Emilio & Da Silva, Sergio, 2013. "Psychophysiological correlates of the disposition effect," MPRA Paper 48227, University Library of Munich, Germany.
  6. Santos, André A. P. & Nogales, Francisco J. & Ruiz, Esther, 2009. "Comparing univariate and multivariate models to forecast portfolio value-at-risk," DES - Working Papers. Statistics and Econometrics. WS ws097222, Universidad Carlos III de Madrid. Departamento de Estadística.
  7. Ruiz-Verdú, Pablo & Gil-Bazo, Javier & Santos, André A. P., 2008. "The performance of socially responsible mutual funds: the role of fees and management companies," DEE - Working Papers. Business Economics. WB wb083409, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
  8. Andre Santos & Joao Tusi & Newton Da Costa Jr & Sergio Da Silva, 2005. "Evaluating Brazilian Stock Mutual Funds with Stochastic Frontiers," Finance 0510030, EconWPA.

Articles

  1. Marcelo S. Perlin & João F. Caldeira & André A. P. Santos & Martin Pontuschka, 2017. "Can We Predict the Financial Markets Based on Google's Search Queries?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(4), pages 454-467, July.
  2. Perlin, Marcelo S. & Santos, André A.P. & Imasato, Takeyoshi & Borenstein, Denis & Da Silva, Sergio, 2017. "The Brazilian scientific output published in journals: A study based on a large CV database," Journal of Informetrics, Elsevier, vol. 11(1), pages 18-31.
  3. 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.
  4. Santos, André Alves Portela & Ferreira, Alexandre R., 2017. "On the choice of covariance specifications for portfolio selection problems," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(1), May.
  5. Guilherme Fernandes Sanches & André Alves Portela Santos, 2016. "Validation of loss given default in the advanced IRB approach," Brazilian Review of Finance, Brazilian Society of Finance, vol. 14(2), pages 299-321.
  6. 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.
  7. 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.
  8. 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.
  9. 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, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 69(4), December.
  10. Roberto Meurer & André A.P. Santos & Douglas E. Turatti, 2015. "Monetary policy surprises and jumps in interest rates: evidence from Brazil," Journal of Economic Studies, Emerald Group Publishing, vol. 42(5), pages 893-907, October.
  11. Goulart, Marco & da Costa, Newton C.A. & Andrade, Eduardo B. & Santos, André A.P., 2015. "Hedging against embarrassment," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 310-318.
  12. André A.P. Santos, 2015. "Beating the market with small portfolios: Evidence from Brazil," Economia, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 16(1), pages 22-31.
  13. Wlademir Ribeiro Prates & André Alves Portela Santos & Newton Carneiro Affonso da Costa Jr., 2014. "Overconfidence, turnover, and return: evidence from the Brazilian market," Brazilian Review of Finance, Brazilian Society of Finance, vol. 12(3), pages 351-383.
  14. Santos, André A.P. & Moura, Guilherme V., 2014. "Dynamic factor multivariate GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 606-617.
  15. André A P Santos & Luciano N Junkes & Floriano C M Pires Jr, 2014. "Forecasting period charter rates of VLCC tankers through neural networks: A comparison of alternative approaches," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(1), pages 72-91, March.
  16. 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, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 67(1), April.
  17. Rodrigo P. Dill & Newton Da Costa Jr. & André A. P. Santos, 2013. "Paraconsistent and fuzzy logic applied to company profitability analysis," Economics Bulletin, AccessEcon, vol. 33(2), pages 1348-1360.
  18. André A. P. Santos & Francisco J. Nogales & Esther Ruiz, 2013. "Comparing Univariate and Multivariate Models to Forecast Portfolio Value-at-Risk," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 11(2), pages 400-441, March.
  19. Felipe Wolk Teixeira & Roberto Meurer & André Alves Portela Santos, 2013. "What drives forex interventions? Evidence from the Brazilian Central Bank interventions on the BRL/USD market," Brazilian Review of Finance, Brazilian Society of Finance, vol. 11(2), pages 215-248.
  20. 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.
  21. Anna Buchholz & Cesar Cupertino & Roberto Meurer & Andre Portela Santos & Newton Da Costa, 2012. "The market reaction to changes in the Brazilian official interest rate," Applied Economics Letters, Taylor & Francis Journals, vol. 19(14), pages 1359-1364, September.
  22. André Alves Portela Santos & Cristina Tessari, 2012. "Quantitative Portfolio Optimization Techniques Applied to the Brazilian Stock Market," Brazilian Review of Finance, Brazilian Society of Finance, vol. 10(3), pages 369-393.
  23. Santos, André A.P. & Nogales, Francisco J. & Ruiz, Esther & Dijk, Dick Van, 2012. "Optimal portfolios with minimum capital requirements," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1928-1942.
  24. André Alves Portela Santos, 2010. "The Out-of-Sample Performance of Robust Portfolio Optimization," Brazilian Review of Finance, Brazilian Society of Finance, vol. 8(2), pages 141-166.
  25. Javier Gil-Bazo & Pablo Ruiz-Verdú & André Santos, 2010. "The Performance of Socially Responsible Mutual Funds: The Role of Fees and Management Companies," Journal of Business Ethics, Springer, vol. 94(2), pages 243-263, June.
  26. Sergio Da Silva & Newton Da Costa, Jr & Joao Tusi & Andre Santos, 2005. "Evaluating Brazilian mutual funds with stochastic frontiers," Economics Bulletin, AccessEcon, vol. 13(2), pages 1-6.

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Santos, André A. P. & Nogales, Francisco J. & Ruiz, Esther, 2009. "Comparing univariate and multivariate models to forecast portfolio value-at-risk," DES - Working Papers. Statistics and Econometrics. WS ws097222, Universidad Carlos III de Madrid. Departamento de Estadística.

    Mentioned in:

    1. Multivariate Versus Univariate Forecasts – Which is Best for Forecasting?
      by Clive Jones in Business Forecasting on 2013-06-10 20:57:40

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. Goulart, Marco & Da Costa Jr, Newton & Santos, Andre & Takase, Emilio & Da Silva, Sergio, 2013. "Psychophysiological correlates of the disposition effect," MPRA Paper 48227, University Library of Munich, Germany.

    Cited by:

    1. Rau, Holger A., 2015. "The disposition effect in team investment decisions: Experimental evidence," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 272-282.
    2. Dorow, Anderson & Da Costa Jr, Newton & Takase, Emilio & Prates, Wlademir & Da Silva, Sergio, 2017. "On the neural substrates of the disposition effect and return performance," MPRA Paper 83354, University Library of Munich, Germany.
    3. Marco Pleßner, 2017. "The disposition effect: a survey," Management Review Quarterly, Springer;Vienna University of Economics and Business, vol. 67(1), pages 1-30, February.
    4. Rau, Holger A., 2015. "The disposition effect in team investment decisions: Experimental evidence," Center for European, Governance and Economic Development Research Discussion Papers 256, University of Goettingen, Department of Economics.
    5. Rau, Holger A., 2014. "The disposition effect and loss aversion: Do gender differences matter?," Economics Letters, Elsevier, vol. 123(1), pages 33-36.

  3. Santos, André A. P. & Nogales, Francisco J. & Ruiz, Esther, 2009. "Comparing univariate and multivariate models to forecast portfolio value-at-risk," DES - Working Papers. Statistics and Econometrics. WS ws097222, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Santos, André A.P. & Nogales, Francisco J. & Ruiz, Esther & Dijk, Dick Van, 2012. "Optimal portfolios with minimum capital requirements," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1928-1942.
    2. Berens, Tobias & Weiß, Gregor N.F. & Wied, Dominik, 2015. "Testing for structural breaks in correlations: Does it improve Value-at-Risk forecasting?," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 135-152.
    3. 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.
    4. Fuertes, Ana-Maria & Olmo, Jose, 2013. "Optimally harnessing inter-day and intra-day information for daily value-at-risk prediction," International Journal of Forecasting, Elsevier, vol. 29(1), pages 28-42.
    5. Francq, Christian & Zakoian, Jean-Michel, 2015. "Joint inference on market and estimation risks in dynamic portfolios," MPRA Paper 68100, University Library of Munich, Germany.
    6. Opschoor, Anne & van Dijk, Dick & van der Wel, Michel, 2014. "Predicting volatility and correlations with Financial Conditions Indexes," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 435-447.
    7. Erik Kole & Thijs Markwat & Anne Opschoor & Dick van Dijk, 2017. "Forecasting Value-at-Risk under Temporal and Portfolio Aggregation," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 15(4), pages 649-677.
    8. Kris Boudt & Sébastien Laurent & Asger Lunde & Rogier Quaedvlieg & Orimar Sauri, 2017. "Positive semidefinite integrated covariance estimation, factorizations and asynchronicity," Post-Print hal-01505775, HAL.
    9. Degiannakis, Stavros & Kiohos, Apostolos, 2014. "Multivariate modelling of 10-day-ahead VaR and dynamic correlation for worldwide real estate and stock indices," MPRA Paper 80438, University Library of Munich, Germany.
    10. Bonga-Bonga, Lumengo & Nleya, Lebogang, 2016. "Assessing portfolio market risk in the BRICS economies: use of multivariate GARCH models," MPRA Paper 75809, University Library of Munich, Germany.
    11. Carole Bernard & Ludger Rüschendorf & Steven Vanduffel & Ruodu Wang, 2017. "Risk bounds for factor models," Finance and Stochastics, Springer, vol. 21(3), pages 631-659, July.
    12. Anne Opschoor & Dick van Dijk & Michel van der Wel, 2013. "Predicting Covariance Matrices with Financial Conditions Indexes," Tinbergen Institute Discussion Papers 13-113/III, Tinbergen Institute.
    13. Jochen Krause & Marc S. Paolella, 2014. "A Fast, Accurate Method for Value-at-Risk and Expected Shortfall," Econometrics, MDPI, Open Access Journal, vol. 2(2), pages 1-25, June.
    14. 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.
    15. 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.
    16. Marc S. Paolella, 2017. "The Univariate Collapsing Method for Portfolio Optimization," Econometrics, MDPI, Open Access Journal, vol. 5(2), pages 1-33, May.
    17. Manuela Braione & Nicolas K. Scholtes, 2016. "Forecasting Value-at-Risk under Different Distributional Assumptions," Econometrics, MDPI, Open Access Journal, vol. 4(1), pages 1-27, January.
    18. Shang, Han Lin, 2017. "Functional time series forecasting with dynamic updating: An application to intraday particulate matter concentration," Econometrics and Statistics, Elsevier, vol. 1(C), pages 184-200.
    19. 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.
    20. Bams, Dennis & Blanchard, Gildas & Lehnert, Thorsten, 2017. "Volatility measures and Value-at-Risk," International Journal of Forecasting, Elsevier, vol. 33(4), pages 848-863.
    21. Slim, Skander & Koubaa, Yosra & BenSaïda, Ahmed, 2017. "Value-at-Risk under Lévy GARCH models: Evidence from global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 30-53.
    22. Rainer Jobst & Daniel Rösch & Harald Scheule & Martin Schmelzle, 2015. "A Simple Econometric Approach for Modeling Stress Event Intensities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 300-320, April.
    23. Thilo A. Schmitt & Rudi Schäfer & Dominik Wied & Thomas Guhr, 2016. "Spatial dependence in stock returns: local normalization and VaR forecasts," Empirical Economics, Springer, vol. 50(3), pages 1091-1109, May.

  4. Ruiz-Verdú, Pablo & Gil-Bazo, Javier & Santos, André A. P., 2008. "The performance of socially responsible mutual funds: the role of fees and management companies," DEE - Working Papers. Business Economics. WB wb083409, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.

    Cited by:

    1. Slapikaite Indre & Tamosiuniene Rima, 2013. "Socially Responsible Mutual Funds – A Profitable Way of Investing," Scientific Annals of Economics and Business, De Gruyter Open, vol. 60(1), pages 202-214, July.
    2. In, Francis & Kim, Martin & Park, Raphael Jonghyeon & Kim, Sangbae & Kim, Tong Suk, 2014. "Competition of socially responsible and conventional mutual funds and its impact on fund performance," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 160-176.
    3. Graham McIntosh, 2016. "Socially Responsible Investment and Market Performance: The Case of Energy and Resource Firms," Cambridge Working Papers in Economics 1609, Faculty of Economics, University of Cambridge.
    4. Janusz Brzeszczyński & Graham McIntosh, 2014. "Performance of Portfolios Composed of British SRI Stocks," Journal of Business Ethics, Springer, vol. 120(3), pages 335-362, March.
    5. Mohamed A. Ayadi & Hatem Ben-Ameur & Lawrence Kryzanowski, 2016. "Typical and Tail Performance of Canadian Equity SRI Mutual Funds," Journal of Financial Services Research, Springer;Western Finance Association, vol. 50(1), pages 57-94, August.
    6. Bilbao-Terol, Amelia & Álvarez-Otero, Susana & Bilbao-Terol, Celia & Cañal-Fernández, Verónica, 2017. "Hedonic evaluation of the SRI label of mutual funds using matching methodology," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 213-227.
    7. Lean, Hooi Hooi & Ang, Wei Rong & Smyth, Russell, 2014. "Performance and Performance Persistence of Socially Responsible Investment Funds in Europe and North America," MPRA Paper 59119, University Library of Munich, Germany.
    8. Yuchao Xiao & Robert Faff & Philip Gharghori & Byoung-Kyu Min, 2017. "The Financial Performance of Socially Responsible Investments: Insights from the Intertemporal CAPM," Journal of Business Ethics, Springer, vol. 146(2), pages 353-364, December.
    9. Christos Kollias & Stephanos Papadamou, 2016. "Environmentally Responsible and Conventional Market Indices’ Reaction to Natural and Anthropogenic Adversity: A Comparative Analysis," Journal of Business Ethics, Springer, vol. 138(3), pages 493-505, October.
    10. Francisco Climent & Pilar Soriano, 2011. "Green and Good? The Investment Performance of US Environmental Mutual Funds," Journal of Business Ethics, Springer, vol. 103(2), pages 275-287, October.
    11. Barkó, Tamás & Cremers, M. & Renneboog, Luc, 2017. "Shareholder Engagement on Environmental, Social, and Governance Performance," Discussion Paper 2017-040, Tilburg University, Center for Economic Research.
    12. Juan Carlos Matallín-Sáez & Amparo Soler-Domínguez & Emili Tortosa-Ausina, 2016. "Does socially responsible mutual fund performance vary over the business cycle? New insights on the role of ethical strategy focus and green industry idiosyncratic risk," Working Papers 2016/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    13. Hooi Hooi Lean & Duc Khuong Nguyen, 2014. "Policy uncertainty and performance characteristics of sustainable investments across regions around the global financial crisis," Working Papers 2014-295, Department of Research, Ipag Business School.
    14. Miwa Nakai & Keiko Yamaguchi & Kenji Takeuchi, 2015. "Can SRI Funds Better Resist Global Financial Crisis? Evidence from Japan," Discussion Papers 1530, Graduate School of Economics, Kobe University.
    15. Greg Filbeck & Timothy A. Krause & Lauren Reis, 2016. "Socially responsible investing in hedge funds," Journal of Asset Management, Palgrave Macmillan, vol. 17(6), pages 408-421, October.
    16. Miwa Nakai & Tomonori Honda & Nariaki Nishino & Kenji Takeuchi, 2013. "An Experimental Study on Motivations for Socially Responsible Investment," Discussion Papers 1314, Graduate School of Economics, Kobe University.
    17. Mansor, F. & Bhatti, M.I. & Ariff, M., 2015. "New evidence on the impact of fees on mutual fund performance of two types of funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 102-115.
    18. El Ghoul, Sadok & Karoui, Aymen, 2017. "Does corporate social responsibility affect mutual fund performance and flows?," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 53-63.
    19. Iván Barreda-Tarrazona & Juan Matallín-Sáez & Mª Balaguer-Franch, 2011. "Measuring Investors’ Socially Responsible Preferences in Mutual Funds," Journal of Business Ethics, Springer, vol. 103(2), pages 305-330, October.
    20. Sebastian Rathner, 2013. "The Influence of Primary Study Characteristics on the Performance Differential Between Socially Responsible and Conventional Investment Funds: A Meta-Analysis," Journal of Business Ethics, Springer, vol. 118(2), pages 349-363, December.
    21. Reddy, Krishna & Mirza, Nawazish & Naqvi, Bushra & Fu, Mingli, 2017. "Comparative risk adjusted performance of Islamic, socially responsible and conventional funds: Evidence from United Kingdom," Economic Modelling, Elsevier, vol. 66(C), pages 233-243.
    22. Jacquelyn E. Humphrey & Geoffrey J. Warren & Junyan Boon, 2016. "What is Different about Socially Responsible Funds? A Holdings-Based Analysis," Journal of Business Ethics, Springer, vol. 138(2), pages 263-277, October.
    23. Gasser, Stephan M. & Rammerstorfer, Margarethe & Weinmayer, Karl, 2017. "Markowitz revisited: Social portfolio engineering," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1181-1190.
    24. Maria Cristina Rossi & Dario Sansone & Costanza Torricelli & Arthur van Soest, 2018. "Household Preferences for Socially Responsible Investments," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 18021, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    25. Rathner, Sebastian, 2013. "The Relative Performance of Socially Responsible Investment Funds. New Evidence from Austria," Working Papers in Economics 2013-1, University of Salzburg.

  5. Andre Santos & Joao Tusi & Newton Da Costa Jr & Sergio Da Silva, 2005. "Evaluating Brazilian Stock Mutual Funds with Stochastic Frontiers," Finance 0510030, EconWPA.

    Cited by:

    1. Babalos, Vassilios & Mamatzakis, Emmanuel C. & Matousek, Roman, 2015. "The performance of US equity mutual funds," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 217-229.
    2. Jin-Li Hu & Tzu-Pu Chang & Ray Chou, 2014. "Market conditions and the effect of diversification on mutual fund performance: should funds be more concentrative under crisis?," Journal of Productivity Analysis, Springer, vol. 41(1), pages 141-151, February.

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. 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.

  3. 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. 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).
    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.

  4. 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. 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.
    2. 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.
    3. 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].
    4. 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.
    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. Gijsbert Suren & Guilherme Moura, 2012. "Heteroskedastic Dynamic Factor Models: A Monte Carlo Study," Economics Bulletin, AccessEcon, vol. 32(4), pages 2884-2898.

  5. André A P Santos & Luciano N Junkes & Floriano C M Pires Jr, 2014. "Forecasting period charter rates of VLCC tankers through neural networks: A comparison of alternative approaches," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(1), pages 72-91, March.

    Cited by:

    1. Payman Eslami & Kihyo Jung & Daewon Lee & Amir Tjolleng, 2017. "Predicting tanker freight rates using parsimonious variables and a hybrid artificial neural network with an adaptive genetic algorithm," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(3), pages 538-550, August.

  6. 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, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 67(1), April.
    See citations under working paper version above.
  7. André A. P. Santos & Francisco J. Nogales & Esther Ruiz, 2013. "Comparing Univariate and Multivariate Models to Forecast Portfolio Value-at-Risk," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 11(2), pages 400-441, March.
    See citations under working paper version above.
  8. Anna Buchholz & Cesar Cupertino & Roberto Meurer & Andre Portela Santos & Newton Da Costa, 2012. "The market reaction to changes in the Brazilian official interest rate," Applied Economics Letters, Taylor & Francis Journals, vol. 19(14), pages 1359-1364, September.

    Cited by:

    1. 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.

  9. Santos, André A.P. & Nogales, Francisco J. & Ruiz, Esther & Dijk, Dick Van, 2012. "Optimal portfolios with minimum capital requirements," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1928-1942.

    Cited by:

    1. Cui, Xueting & Zhu, Shushang & Sun, Xiaoling & Li, Duan, 2013. "Nonlinear portfolio selection using approximate parametric Value-at-Risk," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 2124-2139.
    2. Miralles-Quirós, José Luis & Miralles-Quirós, María del Mar, 2017. "The Copula ADCC-GARCH model can help PIIGS to fly," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 1-12.
    3. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2014. "Bank regulation and international financial stability: A case against the 2006 Basel framework for controlling tail risk in trading books," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 107-130.
    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.
    5. 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.
    6. Vladimir Rankovic & Mikica Drenovak & Branko Uroševic & Ranko Jelic, 2016. "Mean Univariate-GARCH VaR Portfolio Optimization: Actual Portfolio Approach," CESifo Working Paper Series 5731, CESifo Group Munich.
    7. Ranković, Vladimir & Ivanović, Miloš & Urošević, Branko & Jelic, Ranko, 2017. "Market risk management in a post-Basel II regulatory environmentAuthor-Name: Drenovak, Mikica," European Journal of Operational Research, Elsevier, vol. 257(3), pages 1030-1044.
    8. Liu, Xiaochun, 2017. "An integrated macro-financial risk-based approach to the stressed capital requirement," Review of Financial Economics, Elsevier, vol. 34(C), pages 86-98.
    9. Lützenkirchen, Kristina & Rösch, Daniel & Scheule, Harald, 2013. "Ratings based capital adequacy for securitizations," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5236-5247.
    10. Branko Uroševic & Mikica Drenovak & Vladimir Rankovic & Ranko Jelic & Milos Ivanovic, 2016. "Market Risk Management in a Post-Basel II Regulatory Environment," CESifo Working Paper Series 6293, CESifo Group Munich.

  10. Javier Gil-Bazo & Pablo Ruiz-Verdú & André Santos, 2010. "The Performance of Socially Responsible Mutual Funds: The Role of Fees and Management Companies," Journal of Business Ethics, Springer, vol. 94(2), pages 243-263, June.
    See citations under working paper version above.
  11. Sergio Da Silva & Newton Da Costa, Jr & Joao Tusi & Andre Santos, 2005. "Evaluating Brazilian mutual funds with stochastic frontiers," Economics Bulletin, AccessEcon, vol. 13(2), pages 1-6.

    Cited by:

    1. Babalos, Vassilios & Mamatzakis, Emmanuel C. & Matousek, Roman, 2015. "The performance of US equity mutual funds," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 217-229.
    2. Jin-Li Hu & Tzu-Pu Chang & Ray Chou, 2014. "Market conditions and the effect of diversification on mutual fund performance: should funds be more concentrative under crisis?," Journal of Productivity Analysis, Springer, vol. 41(1), pages 141-151, February.

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Statistics

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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 8 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-BAN: Banking (1) 2009-12-11
  2. NEP-CFN: Corporate Finance (1) 2008-07-30
  3. NEP-ECM: Econometrics (1) 2009-12-11
  4. NEP-EXP: Experimental Economics (1) 2013-07-20
  5. NEP-FMK: Financial Markets (1) 2005-10-29
  6. NEP-FOR: Forecasting (1) 2009-12-11
  7. NEP-REG: Regulation (1) 2009-12-11
  8. NEP-RMG: Risk Management (1) 2009-12-11
  9. NEP-SOG: Sociology of Economics (1) 2017-06-18
  10. NEP-UPT: Utility Models & Prospect Theory (1) 2016-09-04

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