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Biografia

Professor de Finanças e Economia na NOVA IMS, Universidade Nova de Lisboa, e professor convidado na Université Paris-Dauphine PSL em Paris, França. Tem licenciatura e doutoramento em Economia pela Universidade de Évora e mestrado em Economia Monetária e Financeira pelo ISEG da Universidade Técnica de Lisboa. É Diretor dos programas de pós-graduação em Mercados Financeiros e Riscos, assim como em Data Science for Finance. É membro integrado do MagIC, centro de investigação e desenvolvimento da NOVA IMS, e também membro do Fórum de Especialistas Científicos do Instituto de Pensões do Banco Bilbao Vizcaya Argentaria (BBVA) em Madrid, Espanha, além de ser membro integrado do CEFAGE-UE. Coordena o ORBio, Observatório de Riscos Biométricos da População Segurada em Portugal, que pertence à APS, Associação Portuguesa de Seguradores. Os seus trabalhos são publicados em revistas académicas prestigiadas, como o Journal of Banking and Finance, Insurance: Mathematics and Economics, Journal of Pension Economics and Finance, Expert Systems with Applications, Risk Management, Risks, Statistical Journal of the IAOS, Journal of Finance and Economics, International Journal of Applied Decision Sciences, CESifo DICE Report - Journal for Institutional Comparisons, RISTI, MIT Press e livros do Banco Mundial. Trabalha como consultor científico para instituições públicas nacionais e internacionais, como o Statistics Portugal, Ministério das Finanças e Ministério do Trabalho e da Segurança Social, além de colaborar com instituições privadas, como companhias de seguros, Associação de Fundos de Pensões e Associação de Emitentes de Benefícios Sociais. As suas áreas de investigação incluem gestão de risco de longevidade, reforma e sustentabilidade de sistemas de proteção social e envelhecimento, regimes de aposentadoria e poupança, bem como gestão de risco de crédito. Além disso, participou como membro externo da Comissão Interministerial para a Reforma do Sistema de Segurança Social em Portugal.

Publicações Cientificas

Raimundo, B., & Bravo, J. M. (2024)

Credit Risk Scoring: A Stacking Generalization Approach. In Á. Rocha, H. Adeli, G. Dzemyda, F. Moreira, & V. Colla (Eds.), Information Systems and Technologies: WorldCIST 2023, Volume 1 (Vol. 1, pp. 382-396). (Lecture Notes in Networks and Systems; Vol. 799). Springer. https://doi.org/10.1007/978-3-031-45642-8_38

Bravo, J. M., Ayuso, M., Holzmann, R., & Palmer, E. (2023)

Intergenerational actuarial fairness when longevity increases: Amending the retirement age. Insurance: Mathematics and Economics. https://doi.org/10.1016/j.insmatheco.2023.08.007

Clemente, C., Guerreiro, G. R., & Bravo, J. M. (2023)

Modelling Motor Insurance Claim Frequency and Severity Using Gradient Boosting. Risks, 11(9), 1-20. [163]. https://doi.org/10.3390/risks11090163

Bravo, J. M., & Ashofteh, A. (2023)

Ensemble Methods for Consumer Price Inflation Forecasting. In CAPSI 2023 Proceedings (pp. 317-336). Article 25 (Atas da Conferência da Associação Portuguesa de Sistemas de Informação). Associação Portuguesa de Sistemas de Informação. https://doi.org/10.18803/capsi.v23.317-336

Clemente, C. D. M., Guerreiro, G. R. D., & Bravo, J. M. (2023)

Gradient Boosting in Motor Insurance Claim Frequency Modelling. In CAPSI 2023 Proceedings (pp. 53-69). Article 5 (Atas da Conferência da Associação Portuguesa de Sistemas de Informação). Associação Portuguesa de Sistemas de Informação. https://doi.org/10.18803/capsi.v23.53-69

Bravo, J. M., Ayuso, M., Herce, J. A., Palmer, E., & Dómenech, R. (2023)

Automatic Adjustment Mechanisms In Pension Systems: The case for inflation adjustment in Spain 2022-2023. (pp. 1-18). (Papers Mi Jubilación; No. 38). Instituto BBVA de Pensiones. https://www.jubilaciondefuturo.es/es/pensiones-en-cifras/fondo-documental/automatic-adjustment-mechanisms-in-pension-systems.html

Ashofteh, A., Bravo, J. M., & Ayuso, M. (2022)

An Ensemble Learning Strategy for Panel Time Series Forecasting of Excess Mortality During the COVID-19 Pandemic. Applied Soft Computing, 128(October), 1-17. [109422]. https://doi.org/10.2139/ssrn.4057314, https://doi.org/10.1016/j.asoc.2022.109422

Bravo, J. M. (2022)

Pricing participating longevity-linked life annuities: a Bayesian Model Ensemble approach. European Actuarial Journal, 12(1), 125-159. https://doi.org/10.1007/s13385-021-00279-w

Bravo, J. M., & Herce, J. A. (2022)

Career breaks, broken pensions? Long-run effects of early and late-career unemployment spells on pension entitlements. Journal of Pension Economics and Finance, 21(2), 191 - 217. [Advanced online publication on 22 July 2020]. Doi: https://doi.org/10.1017/S1474747220000189

Culotta, F., Alaimo, L. S., Bravo, J. M., Di Bella, E., & Gandullia, L. (2022)

Total-employed longevity gap, pension fairness and public finance: Evidence from one of the oldest regions in EU. Socio-Economic Planning Sciences, 82(Part A (August)), 1-8. [101221]. https://doi.org/10.1016/j.seps.2021.101221

Ayuso, M., & Bravo, J. M. (2022)

Indexing pensions to life expectancy: Keeping the system fair across generations. In M. Corazza, C. Perna, C. Pizzi, & M. Sibillo (Eds.), Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2022 (pp. 31-37). (MAF 2022- International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance, 20 to 22 April 2022, Salerno (Italy)). Springer International Publishing. https://doi.org/10.1007/978-3-030-99638-3_6

Bravo, J. M. (2022)

The demographics of defense and security in Japan. In Á. Rocha, C. H. Fajardo-Toro, & J. M. R. Rodríguez (Eds.), Developments and Advances in Defense and Security: Proceedings of MICRADS 2021 (pp. 359-370). (Smart Innovation, Systems and Technologies; Vol. 255). Springer. https://doi.org/10.1007/978-981-16-4884-7_29

Bravo, J. M., & El Mekkaoui, N. (2022)

Short-Term CPI Inflation Forecasting: Probing with model combinations. In A. Rocha, H. Adeli, G. Dzemyda, & F. Moreira (Eds.), Information Systems and Technologies. WorldCIST 2022 (Vol. 1, pp. 564-578). (Lecture Notes in Networks and Systems; Vol. 468). Springer. https://doi.org/10.1007/978-3-031-04826-5

Bravo, J. M., & Santos, V. (2022)

Backtesting Recurrent Neural Networks with Gated Recurrent Unit: Probing with Chilean Mortality Data. In M. V. Garcia, F. Fernández-Peña, & C. Gordón-Gallegos (Eds.), Advances and Applications in Computer Science, Electronics, and Industrial Engineering: Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2021) (pp. 159-174). [9] (Lecture Notes in Networks and Systems; Vol. 433). Springer. https://doi.org/10.1007/978-3-030-97719-1_9

Cunha, L., & Bravo, J. M. (2022)

Automobile Usage-Based-Insurance: Improving Risk Management using Telematics Data. In 2022 17th  Iberian Conference on Information Systems and Technologies (CISTI): proceedings (pp. 1-6). (CISTI 2022. 17th  Iberian Conference on Information Systems and Technologies, 22-25 June 2022, Madrid, Spain). ISBN: 978-9-8933-3436-2. https://doi.org/10.23919/CISTI54924.2022.9820146

Louro, M. J., Gouveia, A. P., & Bravo, J. (2022)

Segurança social: Reformar estruturalmente o sistema de pensões. In Á. Beleza, & A. Mateus (Eds.), Ambição: duplicar o PIB em 20 anos. Portugal mais próspero, mais justo e mais democrático (Vol. 1, pp. 225-241). (V Congresso SEDES: 50 Anos a Pensar Portugal. Como duplicar o PIB em 20 anos, 28/10/222 - 5/12/22, Portugal). Almedina. SEDES.

Ashofteh, A., & Bravo, J. M. (2021)

A Conservative Approach for Online Credit Scoring. Expert Systems with Applications, 114835. [Advanced online publication on 10 March 2021]. https://doi.org/10.1016/j.eswa.2021.114835

Ashofteh, A., & Bravo, J. M. (2021)

Data Science Training for Official Statistics: a New Scientific Paradigm of Information and Knowledge Development in National Statistical Systems. Statistical Journal of the IAOS, 37(3), 771 – 789. https://doi.org/10.3233/SJI-210841

Ayuso, M., & Bravo, J. M. (2021)

El necesario enfoque actuarial de los sistemas de pensiones: la relevancia de la esperanza de vida, también en España. Mediterráneo Económico, 34, 97-112. https://publicacionescajamar.es/publicaciones-periodicas/mediterraneo-economico/mediterraneo-economico-34-el-futuro-de-las-pensiones-en-espana

Ayuso, M., Bravo, J. M., & Holzmann, R. (2021)

Getting life expectancy estimates right for pension policy: Period versus cohort approach. Journal of Pension Economics and Finance, 20(2), 212-231. [Advanced online publication on 13 May, 2020]. https://doi.org/10.1017/S1474747220000050

Ayuso, M.; Bravo, J. M.; Holzmann, R. & Palmer, E. (2021)

Automatic Indexation of the Pension Age to Life Expectancy: When Policy Design Matters. Risks 9 (96). https://doi.org/10.3390/risks9050096

Bravo, J. M. (2021)

Em defesa de um sistema de pensões sustentável e intergeracionalmente justo para Portugal. Cadernos de Economia, (136), 38-43. https://cadernoseconomia.com.pt/wp-content/uploads/2021/09/cadernos-economia-136-preview.pdf

Bravo, J. M., & Ayuso, M. (2021)

Linking Pensions to Life Expectancy: Tackling Conceptual Uncertainty through Bayesian Model Averaging. Mathematics, 9(24), 1-27. [3307]. https://doi.org/10.3390/math9243307

Bravo, J. M., & Nunes, J. P. V. (2021)

Pricing longevity derivatives via Fourier transforms. Insurance: Mathematics and Economics, 96(January), 81-97. [Advanced online publication on 1 November, 2020]. Doi: https://doi.org/10.1016/j.insmatheco.2020.10.008

Bravo, J. M., Ayuso, M., Holzmann, R., & Palmer, E. (2021)

Addressing the Life Expectancy Gap in Pension Policy. Insurance: Mathematics and Economics, 99, 200-221. https://authors.elsevier.com/a/1cxjnc7vgZY2L

Simões, C.; Oliveira, L.; Bravo, J.M. (2021)

Immunization Strategies for Funding Multiple Inflation-Linked Retirement Income Benefits. Risks, 9(4):60. https://doi.org/10.3390/risks9040060

Silva, C. M., Bravo, J. M., Gonçalves, J. (2021)

Impacto Económico e Social da Sinistralidade Rodoviária em Portugal. Lisboa: CEGE - Centro de Estudos de Gestão do ISEG e Autoridade Nacional de Segurança Rodoviária (ANSR). Acesso: http://www.ansr.pt/Documents/Impacto_Economico_Social_Sinistralidade_Rodoviaria.pdf

Bravo J.M. (2021)

Bravo, J. M. (2021)

A fecundidade como indicador avançado dos ciclos económicos em Portugal. In Inquérito à Fecundidade: 2019 (2021 ed., pp. 121-149). Instituto Nacional de Estatística. https://www.ine.pt/ngt_server/attachfileu.jsp?look_parentBoui=511552107&att_display=n&att_download=y

Manuel, L. J., & Bravo, J. M. V. (2021)

AVALIAÇÃO DO GRAU DE MATURIDADE DO SISTEMA DE CONTROLO INTERNO BANCÁRIO EM ANGOLA SEGUNDO A METODOLOGIA COSO. In Administração, Finanças e Geração de Valor (pp. 59-79). Atena Editora. https://doi.org/10.22533/at.ed.7962104024

Ashofteh, A., & Bravo, J. M. (2021)

Life Table Forecasting in COVID-19 Times: An Ensemble Learning Approach. In 2021 16th  Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-6). IEEE. https://doi.org/10.23919/CISTI52073.2021.9476583

Ashofteh, A., Bravo, J. M., & Ayuso, M. (2021)

A Novel Layered Learning Approach for Forecasting Respiratory Disease Excess Mortality during the COVID-19 pandemic. In CAPSI 2021 Proceedings : 21ª Conferência da Associação Portuguesa de Sistemas de Informação, "Sociedade 5.0: Os desafios e as Oportunidades para os Sistemas de Informação".". [21th  Portuguese Association of Information Systems Conference] (pp. 1-18). Associação Portuguesa de Sistemas de Informação.

Bravo J.M. (2021)

Bravo J.M., Ayuso M. (2021)

Bravo, J. M. (2021)

Forecasting mortality rates with Recurrent Neural Networks: A preliminary investigation using Portuguese data. In CAPSI 2021 Proceedings: 21ª Conferência da Associação Portuguesa de Sistemas de Informação, "Sociedade 5.0: Os desafios e as Oportunidades para os Sistemas de Informação".". [21th  Portuguese Association of Information Systems Conference] (pp. 1-19). Associação Portuguesa de Sistemas de Informação. https://aisel.aisnet.org/capsi2021/7

Bravo, J. M. (2021)

Pricing Survivor Bonds with Affine-Jump Diffusion Stochastic Mortality Models. In 2021 The 5th  International Conference on E-Commerce, E-Business and E-Government ICEEG '21, April 28-30, 2021, Rome, Italy. Association for Computing Machinery (ACM). https://doi.org/10.1145/3466029.3466037

Bravo, J. M., & Freitas, N. E. M. D. (2021)

Drawing Down Retirement Financial Savings: A Welfare Analysis using French data. In 2021 The 5th  International Conference on E-Commerce, E-Business and E-Government (ICEEG '21) (pp. 152-158). Association for Computing Machinery (ACM). https://doi.org/10.1145/3466029.3466041

Bravo, J. M., Ayuso, M., Holzmann, R., & Palmer, E. (2021)

Intergenerational Actuarial Fairness When Longevity Increases: Amending the Retirement Age. (pp. 1-41). (CESifo Working Papers; No. 9408). Munich Society for the Promotion of Economic Research ‐ CESifo GmbH. https://ssrn.com/abstract=3961911

Ashofteh, A., & Bravo, J. M. (2020)

A study on the quality of novel coronavirus (COVID-19) official datasets. Statistical Journal of the IAOS, 36(2), 291-301. https://doi.org/10.3233/SJI-200674

Bravo, J. M., & Ayuso, M. (2020)

Previsões de mortalidade e de esperança de vida mediante combinação Bayesiana de modelos: Uma aplicação à população portuguesa. [ Mortality and life expectancy forecasts using Bayesian model combinations: An application to the Portuguese population ]. RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação, (42), 128-144. https://doi.org/10.17013/risti.40.128–145

Bravo, J. M., & Coelho, E. (2020)

Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms. Boletim da Sociedade Portuguesa de Estatística, (Primavera 2020), 20-29.

Chamboko, R., & Bravo, J. M. (2020)

A multi‐state approach to modelling intermediate events and multiple mortgage loan outcomes. Risks, 8(2), 1-29. [64]. https://doi.org/10.3390/risks8020064

Bravo, J. M. (2020)

Addressing the Pension Decumulation Phase of Employee Retirement Planning. In I. Muenstermann (Ed.), Who Wants to Retire and Who Can Afford to Retire? (pp. 1-21). IntechOpen. https://doi.org/10.5772/intechopen.90807

Bravo, J. M. V. (2020)

Reforma do sistema de pensões e consistência intertemporal da protecção social . In L. S. Pavan (Ed.), A Economia numa Perspectiva Interdisciplinar (Vol. 2, pp. 75-91). Ponta Gross, PR: Atena Editora. https://doi.org/10.22533/at.ed.8372019026

Bravo, J. M., & Coelho, E. (2020)

Modelling Monthly Births and Deaths Using Seasonal Forecasting Methods as an Input for Population Estimates. In Demography of Population Health, Aging and Health Expenditures (pp. 203-222). [Chapter 14] (Demography of Population Health, Aging and Health Expenditures; Vol. 50). https://doi.org/10.1007/978-3-030-44695-6_14

Bravo, J. M., & Coelho, E. I. F. (2020)

Forecasting small population monthly fertility and mortality data with seasonal time series methods. In W. L. Linhares (Ed.), As Ciências Sociais Aplicadas e a Interface com vários Saberes (Vol. 2, pp. 158-176). Atena. https://doi.org/10.22533/at.ed.79020280112

Marques, V. M. M., & Bravo, J. M. (2020)

Análise da viabilidade do microsseguro em Portugal. In T. N. D. Oliveira (Ed.), Política Social e Gestão de Serviços Sociais (Vol. 2, pp. 170-183). Ponta Grossa, PR: Atena. https://doi.org/10.22533/at.ed.294200903

Bravo, J. M. (2020)

Longevity-Linked Life Annuities: A Bayesian Model Ensemble Pricing Approach. CAPSI 2020. 20ª Conferência da Associação Portuguesa de Sistemas de Informação.

Bravo, J. M. (2020)

Pricing Survivor Bonds with Affine-Jump Diffusion Models. In C. H. Skiadas (Ed.), Book of Abstracts of the 6 th Stochastic Modeling Techniques and Data Analysis International Conference with Demographics Workshop : 2-5 June, 2020 ISAST: International Society for the Advancement of Science and Technology..

Bravo, J. M., Ayuso, M., Holzmann, R., & Palmer, E. (2020)

Coping with the Life Expectancy Gap: Amending the Retirement Age to Restore Actuarial Neutrality Across Generations. In C. H. Skiadas (Ed.), Book of Abstracts of the 6 th Stochastic Modeling Techniques and Data Analysis International Conference with Demographics Workshop : 2-5 June, 2020 ISAST: International Society for the Advancement of Science and Technology..

Ayuso, M., & Bravo, J. M. (2020)

COVID-19: Costes humanos y su heterogeneidad por zonas geográficas en España. (Documentos Mi Jubilación; No. 32). Instituto BBVA de Pensiones.

Bravo, J. M., Ayuso, M., & Palmer, E. (2020)

El gap entre esperanzas de vida: Una evidencia que afecta a la política de pensiones. (Documentos Mi Jubilación; No. 29). Instituto BBVA de Pensiones. https://www.jubilaciondefuturo.es/recursos/doc/pensiones/20180910/fondo-documental/el-gap-entre-esperanzas-de-vida-una-evidencia-que-afecta-a-la-politica-de-pensio.pdf

Bravo, J. M. (2019)

Funding for longer lives: retirement wallet and risk-sharing annuities. Ekonomiaz. Basque Economic Review, 96(2), 268-291.

Bravo, J. M. (2019)

Funding for longer lives: retirement wallet and risk-sharing annuities. Ekonomiaz. Basque Economic Review, 96(2), 268-291.

Bravo, J. M. (2019)

Impactos macroeconómicos do envelhecimento da população. Cadernos de Economia, 32(127), 50-52.

Chamboko, R., & Bravo, J. M. (2019)

Frailty correlated default on retail consumer loans in Zimbabwe. International Journal of Applied Decision Sciences, 12(3), 257-270. https://doi.org/10.1504/IJADS.2019.100436

Chamboko, R., & Bravo, J. M. V. (2019)

Modelling and forecasting recurrent recovery events on consumer loans. International Journal of Applied Decision Sciences, 12(3), 271-287. https://doi.org/10.1504/IJADS.2019.100440

Ashofteh, A., & Bravo, J. M. (2019)

A non-parametric-based computationally efficient approach for credit scoring using non-traditional data. In K. Moder, & B. Spange (Eds.), 8th  International Conference on Risk Analysis and Design of Experiments: book of abstratcts (pp. 9). University of Natural Resources and Life Sciences, Vienna, Austria, April 23rd  to 26th  , 2019.

Ashofteh, Afshin and Bravo, Jorge M., "A Non-Parametric-Based Computationally Efficient Approach for Credit Scoring" (2019)

CAPSI 2019 Proceedings. 4. Proceedings of the 19th  Portuguese Association of Information Systems Conference: digital disruption: living between data science, IoT and ... people. Association for Information Systems. Link: https://aisel.aisnet.org/capsi2019/4

Bravo, J. M., & Coelho, E. (2019)

Forecasting subnational demographic data using seasonal time seies methods. In Proceedings of the 19th  Portuguese Association of Information Systems Conferemce: digital disruption: living between data science, IoT and ... people (pp. 40). Associação Portuguesa de Sistemas de Informação.

Bravo, J. M., & Coelho, E. (2019)

Forecasting Subnational Monthly Births and Deaths using Seasonal Time Series Methods. In Evidence-based territorial policymaking: formulation, implementation and evaluation of policy: 26th  APDR Congress Proceedings (pp. 1079-1088). Associacao Portuguesa para o Desenvolvimento Regional (APDR).

Bravo, J. M., & Coelho, E. (2019)

Modelling monthly birth and deaths using Seasonal Forecasting Methods as an input for population estimates, pp. 41-42. Abstract from Book of Abstracts of the 18th  Applied Stochastic Models and Data Analysis International Conference with Demographics Workshop, Florence, Italy.

Bravo, J. M., & Coelho, E. (2019)

Modelling monthly births and deaths using Seasonal Forecasting Methods as an input for population estimates. In C. H. Skiadas (Ed.), Proceedings of 18th  Applied Stochastic Models and Data Analysis International Conference with the Demographics 2019 Workshop Florence, Italy: 11-14June, 2019 (pp. 263-279). ISAST: International Society for the Advancement of Science and Technology..

Ayuso, M., Bravo, J., & Holzmann, R. (2019)

Hacer uso de la garantía hipotecaria: el potencial del patrimonio familiar para mejorar la seguridad de la jubilación. (pp. 1-33). (Mi Jubilación. Documento de Trabajo; No. 28). Instituto BBVA de Pensiones.

Ayuso, M., Bravo, J., & Holzmann, R. (2019)

Revisión del ahorro y el desahorro en el ciclo de vida entre las tres capas de grupos de ingresos: Hipótesis iniciales, perfeccionamiento mediante revisión de bibliografía y comprobación empírica. (pp. 1-41). (Mi Jubilación. Documento de Trabajo; No. 27). Instituto BBVA de Pensiones.

Holzmann, R., Ayuso, M., & Bravo, J. M. (2019)

Life Cycle Saving and Dissaving Revisited across Three-tiered Income Groups: Starting hypotheses, refinement through literature review, and ideas for empirical testing . (Papers Mi Jubilación; No. 27). Instituto BBVA de Pensiones.

Holzmann, R., Ayuso, M., & Bravo, J. M. (2019)

Making use of Home Equity: The Potential of Housing Wealth to Enhance Retirement Security. (IZA Discussion Papers; No. 12656). IZA. Institute of Labor Economics.

Holzmann, R., Ayuso, M., & Bravo, J. M. (2019)

Making use of Home Equity: The Potential of Housing Wealth to Enhance Retirement Security. (Papers Mi Jubilación; No. 28). Instituto BBVA de Pensiones.

Holzmann, R., Ayuso, M., Alaminos, E., & Bravo, J. M. (2019)

Life Cycle Saving and Dissaving Revisited across Three-tiered Income Groups: Starting hypotheses, refinement through literature review, and ideas for empirical testing . (pp. 1-32). (Discussion paper series; No. 12655). IZA. Institute of Labor Economics.

Bravo, J. M., & El Mekkaoui de Freitas, N. (2018)

Valuation of longevity-linked life annuities. Insurance: Mathematics and Economics, 78, 212-229 (advanced online publication on 28 September 2017). DOI: 10.1016/j.insmatheco.2017.09.009

Ribeiro, S., Cabral, P., Henriques, R., Bravo, J., Rodrigues, T., & Painho, M. (2018)

Modelação do crescimento urbano para a distribuição eficaz das forças de segurança: o caso português. PROELIUM – Revista da Academia Militar, 7(14), 45-68.

Bravo, J. M. (2018)

Taxation of Pensions in Portugal: Is There a Rationale for a Semidual Income Tax System? In R. Holzmann, & J. Piggott (Eds.), The Taxation of Pensions (CESifo Seminar Series). The MIT Press. ISBN: 9780262038324

Bravo, J., Rodrigues, T., Ribeiro, S. & Inácio, A. (2018)

Portugal: Projeções de população residente 2011-2040. In T. Rodrigues, & M. Painho (Eds.), Modelos preditivos e segurança pública (pp. 169-208). Porto: Fronteira do Caos. ISBN: 978-989-54148-7-1

Ayuso, M., Bravo, J. M., & Holzmann, R. (2017)

Addressing Longevity’ Heterogeneity in Pension Scheme Design. Journal of Finance and Economics, 6(1), 1-21. DOI: 10.12735/jfe.v6n1p1

Mercedes Ayuso, Jorge Miguel Bravo, Robert Holzmann (2017)

On the Heterogeneity in Longevity among Socioeconomic Groups: Scope, Trends, and Implications for Earnings-Related Pension Schemes. Global Journal of Human-Social Science Research, 17 (1), . ISSN 2249-460X. Available at:

Bravo, J. M. (2016)

Taxation of pensions in portugal: A semi-dual income tax system. [Note]. CESifo DICE Report, 14(1), 14-23.

Chamboko, Richard & Bravo, Jorge M. (2016)

On the modelling of prognosis from delinquency to normal performance on retail consumer loans. Risk Management, 18 (4), 264–287. https://doi.org/10.1057/s41283-016-0006-4

Bravo, J. M. (2015)

Por uma Protecção Social mais justa e partilhada. Cadernos de Economia, 112(Julho-Setembro 2015), 29-33.

Bravo, J. M. (2015). Living longer and prospering? Opções de redesenho dos sistemas de pensões em Portugal (2014)

Living longer and prospering? Opções de redesenho dos sistemas de pensões em Portugal (2014). In P. e. S. Neto, Maria Manuel (coords.) (Ed.), Políticas Públicas, Economia e Sociedade. Contributos para a Definição de Políticas no Período 2014-2020. Alcochete: Nexo Literário.

Bravo, J. M. (2015)

Reforma Estrutural dos Sistemas de Pensões. In V. Viriato S. M., P. T. Pereira, V. S. (Coord.) (Ed.), Afirmar o Futuro: Políticas Públicas para Portugal (Vol. 1 - Estado, Instituições e Políticas Sociais, pp. 264-329). Lisboa: Fundação Calouste Gulbenkian.

Bravo, J. M., & D., J. J. (2015)

¿La longevidad es un riesgo asegurable? Cubriendo lo incubrible? ¿Es posible planificar la jubilación? Dos años del Instituto BBVA de Pensiones en España (pp. 205-240). Madrid: Instituto BBVA de Pensiones.

Bravo, J. M., & Herce, J. (2015)

Las pensiones en España y Portugal: Descripción de los esquemas y evolución reciente comparada ¿Es posible planificar la jubilación? Dos años del Instituto BBVA de Pensiones en España (pp. 89-126). Madrid: Instituto BBVA de Pensiones.