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Jose Faias

Personal Details

First Name:Jose
Middle Name:Afonso
Last Name:Faias
Suffix:
RePEc Short-ID:pfa272
https://sites.google.com/site/joseafonsofaias/

Affiliation

Faculdade de Ciências Económicas e Empresariais
Universidade Católica Portuguesa

Lisboa, Portugal
https://www.clsbe.lisboa.ucp.pt/
RePEc:edi:fcucppt (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Albuquerque, Rui & Costa, José & Faias, Jose, 2022. "Price elasticity of demand and risk-bearing capacity in sovereign bond auctions," CEPR Discussion Papers 17095, C.E.P.R. Discussion Papers.

Articles

  1. Faias, José Afonso & Guedes, José, 2020. "The diffusion of complex securities: The case of CAT bonds," Insurance: Mathematics and Economics, Elsevier, vol. 90(C), pages 46-57.
  2. José Afonso Faias & Tiago Castel-Branco, 2018. "Out-Of-Sample Stock Return Prediction Using Higher-Order Moments," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1-27, September.
  3. Faias, José Afonso & Santa-Clara, Pedro, 2017. "Optimal Option Portfolio Strategies: Deepening the Puzzle of Index Option Mispricing," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 277-303, February.
  4. Faias, José A. & Ferreira, Miguel A., 2017. "Does institutional ownership matter for international stock return comovement?," Journal of International Money and Finance, Elsevier, vol. 78(C), pages 64-83.

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

    Sorry, no citations of working papers recorded.

Articles

  1. Faias, José Afonso & Guedes, José, 2020. "The diffusion of complex securities: The case of CAT bonds," Insurance: Mathematics and Economics, Elsevier, vol. 90(C), pages 46-57.

    Cited by:

    1. Eling, Martin & Jung, Kwangmin, 2020. "Risk aggregation in non-life insurance: Standard models vs. internal models," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 183-198.
    2. Morton Lane, 2024. "The ILS loss experience: natural catastrophe issues 2001–2020," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(1), pages 97-137, January.
    3. Wu, Yang-Che, 2020. "Equilibrium in natural catastrophe insurance market under disaster-resistant technologies, financial innovations and government interventions," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 116-128.

  2. José Afonso Faias & Tiago Castel-Branco, 2018. "Out-Of-Sample Stock Return Prediction Using Higher-Order Moments," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1-27, September.

    Cited by:

    1. Faias, José Afonso, 2023. "Predicting the equity risk premium using the smooth cross-sectional tail risk: The importance of correlation," Journal of Financial Markets, Elsevier, vol. 63(C).
    2. Jingyan Zhang & Jan De Spiegeleer & Wim Schoutens, 2021. "Implied Tail Risk and ESG Ratings," Mathematics, MDPI, vol. 9(14), pages 1-16, July.
    3. Richard Mawulawoe Ahadzie & Nagaratnam Jeyasreedharan, 2024. "Higher‐order moments and asset pricing in the Australian stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 75-128, March.

  3. Faias, José Afonso & Santa-Clara, Pedro, 2017. "Optimal Option Portfolio Strategies: Deepening the Puzzle of Index Option Mispricing," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 277-303, February.

    Cited by:

    1. Pedro Barroso & Jurij-Andrei Reichenecker & Marco J. Menichetti, 2022. "Hedging with an Edge: Parametric Currency Overlay," Management Science, INFORMS, vol. 68(1), pages 669-689, January.
    2. Faias, José Afonso, 2023. "Predicting the equity risk premium using the smooth cross-sectional tail risk: The importance of correlation," Journal of Financial Markets, Elsevier, vol. 63(C).
    3. Fengmin Xu & Jieao Ma, 2023. "Intelligent option portfolio model with perspective of shadow price and risk-free profit," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-28, December.
    4. Abootaleb Shirvani & Frank J. Fabozzi & Stoyan V. Stoyanov, 2020. "Option Pricing in an Investment Risk-Return Setting," Papers 2001.00737, arXiv.org.
    5. Chun-Hao Chen & Yu-Hsuan Chen & Vicente Garcia Diaz & Jerry Chun-Wei Lin, 2023. "An intelligent trading mechanism based on the group trading strategy portfolio to reduce massive loss by the grouping genetic algorithm," Electronic Commerce Research, Springer, vol. 23(1), pages 3-42, March.
    6. Liu, Yan, 2021. "Index option returns and generalized entropy bounds," Journal of Financial Economics, Elsevier, vol. 139(3), pages 1015-1036.
    7. Faias, José Afonso & Guedes, José, 2020. "The diffusion of complex securities: The case of CAT bonds," Insurance: Mathematics and Economics, Elsevier, vol. 90(C), pages 46-57.
    8. Jonathan Raimana Chan & Thomas Huckle & Antoine Jacquier & Aitor Muguruza, 2021. "Portfolio optimisation with options," Papers 2111.12658, arXiv.org.
    9. Mohd Azdi Maasar & Diana Roman & Paresh Date, 2022. "Risk minimisation using options and risky assets," Operational Research, Springer, vol. 22(1), pages 485-506, March.
    10. Zhu, Shushang & Zhu, Wei & Pei, Xi & Cui, Xueting, 2020. "Hedging crash risk in optimal portfolio selection," Journal of Banking & Finance, Elsevier, vol. 119(C).
    11. Pang, Xiaochuan & Zhu, Shushang & Cui, Xueting & Ma, Jiali, 2023. "Systemic risk of optioned portfolio: Controllability and optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 153(C).
    12. Thierry Post & Iňaki Rodríguez Longarela, 2021. "Risk Arbitrage Opportunities for Stock Index Options," Operations Research, INFORMS, vol. 69(1), pages 100-113, January.
    13. Ruan, Xinfeng & Zhang, Jin E., 2018. "Risk-neutral moments in the crude oil market," Energy Economics, Elsevier, vol. 72(C), pages 583-600.
    14. Kristoffer Andersson & Cornelis W. Oosterlee, 2023. "D-TIPO: Deep time-inconsistent portfolio optimization with stocks and options," Papers 2308.10556, arXiv.org, revised Sep 2023.
    15. Xiaochuan Pang & Shushang Zhu & Xueting Cui & Jiali Ma, 2022. "Systemic Risk of Optioned Portfolios: Controllability and Optimization," Papers 2209.04685, arXiv.org.

  4. Faias, José A. & Ferreira, Miguel A., 2017. "Does institutional ownership matter for international stock return comovement?," Journal of International Money and Finance, Elsevier, vol. 78(C), pages 64-83.

    Cited by:

    1. Sebastián García-Andrade, 2019. "Efectos del rebalanceo de los índices de J.P. Morgan en 2014 sobre los rendimientos de los TES en moneda local," Borradores de Economia 1094, Banco de la Republica de Colombia.
    2. Caglayan, Mustafa Onur & Hu, Yu & Xue, Wenjun, 2021. "Mutual fund herding and return comovement in Chinese equities," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    3. Vicente Bermejo & José Campa & Rodolfo Campos & Mohammed Zakriya, 2020. "Do foreign stocks substitute for international diversification?," Post-Print hal-03135756, HAL.
    4. Dong, Liang & Kot, Hung Wan & Lam, Keith S.K. & Liu, Ming, 2022. "Co-skewness and expected return: Evidence from international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    5. Claudio Raddatz & Sergio L. Schmukler & Tomas Williams, 2015. "International Asset Allocations and Capital Flows: The Benchmark Effect," Working Papers 042015, Hong Kong Institute for Monetary Research.
    6. Xue, Wenjun & He, Zhongzhi & Hu, Yu, 2023. "The destabilizing effect of mutual fund herding: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 88(C).
    7. Kelley Bergsma & Danling Jiang, 2016. "Cultural New Year Holidays and Stock Returns around the World," Financial Management, Financial Management Association International, vol. 45(1), pages 3-35, March.
    8. Broman, Markus S., 2020. "Local demand shocks, excess comovement and return predictability," Journal of Banking & Finance, Elsevier, vol. 119(C).
    9. Todea, Alexandru & Petrescu, Daiana Florina, 2021. "Is stock price informativeness shaped by our genes?," Economic Modelling, Elsevier, vol. 103(C).
    10. Wu, Ming & Ohk, Kiyool & Ko, Kwangsoo, 2021. "Does cash-flow news play a better role than discount-rate news? Evidence from global regional stock markets," Journal of International Money and Finance, Elsevier, vol. 110(C).
    11. Lee, Jinsoo & Yu, Bok-Keun, 2018. "What Drives the Stock Market Comovements between Korea and China, Japan and the U.S.?," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 40(1), pages 45-66.

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