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Marcos Escobar Anel

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. Marcos Escobar-Anel & Yevhen Havrylenko & Rudi Zagst, 2023. "Optimal fees in hedge funds with first-loss compensation," Papers 2310.19023, arXiv.org.

    Cited by:

    1. Jiliang Sheng & Yanyan Yang & Xiaoting Wang & Jun Yang, 2024. "How nonlinear benchmark in delegation contract can affect asset price and price informativeness," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 78(4), pages 1117-1168, December.

  2. Marcos Escobar-Anel & Michel Kschonnek & Rudi Zagst, 2023. "Portfolio Optimization with Allocation Constraints and Stochastic Factor Market Dynamics," Papers 2303.09835, arXiv.org.

    Cited by:

    1. M. Escobar-Anel & M. Kschonnek & R. Zagst, 2023. "Mind the cap!—constrained portfolio optimisation in Heston's stochastic volatility model," Quantitative Finance, Taylor & Francis Journals, vol. 23(12), pages 1793-1813, November.

  3. Marcos Escobar-Anel & Matt Davison & Yichen Zhu, 2022. "Derivatives-based portfolio decisions. An expected utility insight," Papers 2201.03717, arXiv.org.

    Cited by:

    1. Marcos Escobar-Anel & Eric Molter & Rudi Zagst, 2024. "The power of derivatives in portfolio optimization under affine GARCH models," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 47(1), pages 151-181, June.

  4. Marcos Escobar-Anel & Maximilian Gollart & Rudi Zagst, 2021. "Closed-form portfolio optimization under GARCH models," Papers 2109.00433, arXiv.org.

    Cited by:

    1. Escobar-Anel, Marcos & Spies, Ben & Zagst, Rudi, 2024. "Mean–variance optimization under affine GARCH: A utility-based solution," Finance Research Letters, Elsevier, vol. 59(C).
    2. Marcos Escobar-Anel & Ben Spies & Rudi Zagst, 2024. "Optimal consumption and investment in general affine GARCH models," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(3), pages 987-1026, September.
    3. Marcos Escobar-Anel & Eric Molter & Rudi Zagst, 2024. "The power of derivatives in portfolio optimization under affine GARCH models," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 47(1), pages 151-181, June.

  5. Marcos Escobar-Anel & Yevhen Havrylenko & Michel Kschonnek & Rudi Zagst, 2021. "Decrease of capital guarantees in life insurance products: can reinsurance stop it?," Papers 2111.03603, arXiv.org.

    Cited by:

    1. Chih-Te Yang & Yensen Ni & Mu-Hsiang Yu & Yuhsin Chen & Paoyu Huang, 2023. "Decoding the Profitability of Insurance Products: A Novel Approach to Evaluating Non-Participating and Participating Insurance Policies," Mathematics, MDPI, vol. 11(13), pages 1-16, June.
    2. Yevhen Havrylenko & Maria Hinken & Rudi Zagst, 2022. "Risk sharing in equity-linked insurance products: Stackelberg equilibrium between an insurer and a reinsurer," Papers 2203.04053, arXiv.org, revised Oct 2023.
    3. Xuelian Li & Shiu-Chieh Chiu & Jyh-Horng Lin & Yuxin Xie, 2024. "Assessing insurer guarantee cover and risk retention toward SDG 3: a structure-break down-and-out call valuation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.

  6. Marcos Escobar & Daniela Neykova & Rudi Zagst, 2014. "Portfolio Optimization in Affine Models with Markov Switching," Papers 1403.5247, arXiv.org.

    Cited by:

    1. Sühan Altay & Katia Colaneri & Zehra Eksi, 2021. "Optimal convergence trading with unobservable pricing errors," Annals of Operations Research, Springer, vol. 299(1), pages 133-161, April.
    2. Suhan Altay & Katia Colaneri & Zehra Eksi, 2019. "Optimal Convergence Trading with Unobservable Pricing Errors," Papers 1910.01438, arXiv.org, revised Oct 2019.
    3. Jianmin Shi, 2023. "Dynamic asset allocation with multiple regime‐switching markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1741-1755, April.
    4. Christoph Belak & Sören Christensen & Olaf Menkens, 2016. "Worst-Case Portfolio Optimization In A Market With Bubbles," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 1-36, March.
    5. Daniela Neykova & Marcos Escobar & Rudi Zagst, 2015. "Optimal investment in multidimensional Markov-modulated affine models," Annals of Finance, Springer, vol. 11(3), pages 503-530, November.
    6. Lioudmila Vostrikova & Yuchao Dong, 2018. "Utility maximization for L{\'e}vy switching models," Papers 1807.08982, arXiv.org.
    7. Sühan Altay & Katia Colaneri & Zehra Eksi, 2018. "Pairs Trading Under Drift Uncertainty And Risk Penalization," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(07), pages 1-24, November.
    8. Lioudmila Vostrikova & Yuchao Dong, 2018. "Utility maximization for Lévy switching models," Working Papers hal-01844635, HAL.

Articles

  1. Yuyang Cheng & Marcos Escobar-Anel, 2023. "A multivariate 4/2 stochastic covariance model: properties and applications to portfolio decisions," Quantitative Finance, Taylor & Francis Journals, vol. 23(3), pages 497-519, March.

    Cited by:

    1. Wang, Ning & Zhang, Yumo, 2024. "Robust asset-liability management games for n players under multivariate stochastic covariance models," Insurance: Mathematics and Economics, Elsevier, vol. 117(C), pages 67-98.

  2. Yichen Zhu & Marcos Escobar-Anel & Matt Davison, 2023. "A Polynomial-Affine Approximation for Dynamic Portfolio Choice," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1177-1213, October.

    Cited by:

    1. Matt Davison & Marcos Escobar-Anel & Yichen Zhu, 2024. "Optimal Market Completion through Financial Derivatives with Applications to Volatility Risk," JRFM, MDPI, vol. 17(10), pages 1-20, October.

  3. Escobar-Anel, Marcos, 2022. "Multivariate risk aversion utility, application to ESG investments," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).

    Cited by:

    1. Marcos Escobar-Anel & Yiyao Jiao, 2024. "Robust Portfolio Optimization with Environmental, Social, and Corporate Governance Preference," Risks, MDPI, vol. 12(2), pages 1-29, February.
    2. Yin, Zhujia & Deng, Rantian & Xia, Jiejin & Zhao, Lili, 2024. "Climate risk and corporate ESG performance: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    3. Marcos Escobar-Anel & Yiyao Jiao, 2023. "Unraveling the Trade-off between Sustainability and Returns: A Multivariate Utility Analysis," Papers 2307.12161, arXiv.org.
    4. Aydin Aslan & Peter N. Posch, 2022. "How Do Investors Value Sustainability? A Utility-Based Preference Optimization," Sustainability, MDPI, vol. 14(23), pages 1-15, November.

  4. Escobar-Anel, Marcos & Havrylenko, Yevhen & Kschonnek, Michel & Zagst, Rudi, 2022. "Decrease of capital guarantees in life insurance products: Can reinsurance stop it?," Insurance: Mathematics and Economics, Elsevier, vol. 105(C), pages 14-40.
    See citations under working paper version above.
  5. Marcos Escobar-Anel & Maximilian Keller & Rudi Zagst & Egidio D'Amato, 2022. "Optimal HARA Investments with Terminal VaR Constraints," Advances in Operations Research, Hindawi, vol. 2022, pages 1-20, May.

    Cited by:

    1. Wei Li Fan & Marcos Escobar Anel, 2024. "Robust Portfolio Choice under the Modified Constant Elasticity of Variance," Mathematics, MDPI, vol. 12(3), pages 1-31, January.

  6. Escobar-Anel, Marcos & Gollart, Maximilian & Zagst, Rudi, 2022. "Closed-form portfolio optimization under GARCH models," Operations Research Perspectives, Elsevier, vol. 9(C).
    See citations under working paper version above.
  7. Zhu, Yichen & Escobar-Anel, Marcos, 2022. "Polynomial affine approach to HARA utility maximization with applications to OrnsteinUhlenbeck 4/2 models," Applied Mathematics and Computation, Elsevier, vol. 418(C).

    Cited by:

    1. Escobar-Anel, Marcos & Spies, Ben & Zagst, Rudi, 2024. "Mean–variance optimization under affine GARCH: A utility-based solution," Finance Research Letters, Elsevier, vol. 59(C).
    2. Yichen Zhu & Marcos Escobar-Anel, 2021. "A Neural Network Monte Carlo Approximation for Expected Utility Theory," JRFM, MDPI, vol. 14(7), pages 1-18, July.
    3. Matt Davison & Marcos Escobar-Anel & Yichen Zhu, 2024. "Optimal Market Completion through Financial Derivatives with Applications to Volatility Risk," JRFM, MDPI, vol. 17(10), pages 1-20, October.
    4. Marcos Escobar-Anel & Lorenz Theilacker & Rudi Zagst, 2023. "Revisiting the 1/N-strategy: a neural network framework for optimal strategies," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(2), pages 505-542, December.

  8. Marcos Escobar-Anel & Matt Davison & Yichen Zhu, 2022. "Derivatives-based portfolio decisions: an expected utility insight," Annals of Finance, Springer, vol. 18(2), pages 217-246, June.
    See citations under working paper version above.
  9. Junhe Chen & Marcos Escobar-Anel, 2021. "Model uncertainty on commodity portfolios, the role of convenience yield," Annals of Finance, Springer, vol. 17(4), pages 501-528, December.

    Cited by:

    1. Pierpaolo Angelini, 2024. "Extended Least Squares Making Evident Nonlinear Relationships between Variables: Portfolios of Financial Assets," JRFM, MDPI, vol. 17(8), pages 1-24, August.

  10. Yuyang Cheng & Marcos Escobar-Anel, 2021. "Optimal investment strategy in the family of 4/2 stochastic volatility models," Quantitative Finance, Taylor & Francis Journals, vol. 21(10), pages 1723-1751, October.

    Cited by:

    1. Cheng, Yuyang & Escobar-Anel, Marcos, 2023. "A class of portfolio optimization solvable problems," Finance Research Letters, Elsevier, vol. 52(C).
    2. Zhu, Yichen & Escobar-Anel, Marcos, 2022. "Polynomial affine approach to HARA utility maximization with applications to OrnsteinUhlenbeck 4/2 models," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    3. Yumo Zhang, 2021. "Dynamic Optimal Mean-Variance Investment with Mispricing in the Family of 4/2 Stochastic Volatility Models," Mathematics, MDPI, vol. 9(18), pages 1-25, September.
    4. Guohui Guan & Zongxia Liang & Yi Xia, 2024. "Robust mean-variance stochastic differential reinsurance and investment games under volatility risk and model uncertainty," Papers 2412.09171, arXiv.org.
    5. M. Escobar-Anel & M. Kschonnek & R. Zagst, 2023. "Mind the cap!—constrained portfolio optimisation in Heston's stochastic volatility model," Quantitative Finance, Taylor & Francis Journals, vol. 23(12), pages 1793-1813, November.
    6. Yichen Zhu & Marcos Escobar-Anel, 2021. "A Neural Network Monte Carlo Approximation for Expected Utility Theory," JRFM, MDPI, vol. 14(7), pages 1-18, July.
    7. Matt Davison & Marcos Escobar-Anel & Yichen Zhu, 2024. "Optimal Market Completion through Financial Derivatives with Applications to Volatility Risk," JRFM, MDPI, vol. 17(10), pages 1-20, October.
    8. Guohui Guan & Zongxia Liang & Yi Xia, 2024. "Many-insurer robust games of reinsurance and investment under model uncertainty in incomplete markets," Papers 2412.09157, arXiv.org.
    9. Marcos Escobar-Anel & Eric Molter & Rudi Zagst, 2024. "The power of derivatives in portfolio optimization under affine GARCH models," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 47(1), pages 151-181, June.
    10. Yumo Zhang, 2023. "Utility maximization in a stochastic affine interest rate and CIR risk premium framework: a BSDE approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(1), pages 97-128, June.
    11. Yumo Zhang, 2022. "Dynamic optimal mean-variance portfolio selection with stochastic volatility and stochastic interest rate," Annals of Finance, Springer, vol. 18(4), pages 511-544, December.

  11. Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2021. "Option pricing with conditional GARCH models," European Journal of Operational Research, Elsevier, vol. 289(1), pages 350-363.

    Cited by:

    1. Ballestra, Luca Vincenzo & D’Innocenzo, Enzo & Guizzardi, Andrea, 2024. "A new bivariate approach for modeling the interaction between stock volatility and interest rate: An application to S&P500 returns and options," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1185-1194.
    2. Xuecheng He & Jujie Wang, 2024. "A Hybrid Forecasting System Based on Comprehensive Feature Selection and Intelligent Optimization for Stock Price Index Forecasting," Mathematics, MDPI, vol. 12(23), pages 1-27, November.
    3. F. Leung & M. Law & S. K. Djeng, 2024. "Deterministic modelling of implied volatility in cryptocurrency options with underlying multiple resolution momentum indicator and non-linear machine learning regression algorithm," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-25, December.
    4. Owusu Junior, Peterson & Tiwari, Aviral Kumar & Tweneboah, George & Asafo-Adjei, Emmanuel, 2022. "GAS and GARCH based value-at-risk modeling of precious metals," Resources Policy, Elsevier, vol. 75(C).
    5. Nagaraj Naik & Biju R. Mohan, 2021. "Stock Price Volatility Estimation Using Regime Switching Technique-Empirical Study on the Indian Stock Market," Mathematics, MDPI, vol. 9(14), pages 1-18, July.
    6. Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2023. "Covariance dependent kernels, a Q-affine GARCH for multi-asset option pricing," International Review of Financial Analysis, Elsevier, vol. 87(C).

  12. Junhe Chen & Matt Davison & M. Escobar-Anel & Golara Zafari, 2021. "Robust portfolios with commodities and stochastic interest rates," Quantitative Finance, Taylor & Francis Journals, vol. 21(6), pages 991-1010, June.

    Cited by:

    1. Junhe Chen & Marcos Escobar-Anel, 2021. "Model uncertainty on commodity portfolios, the role of convenience yield," Annals of Finance, Springer, vol. 17(4), pages 501-528, December.
    2. Zhichao Lu & Peiyuan Pang & Yuhong Xu & Wenxin Zhang, 2024. "Portfolio Selection with Contrarian Strategy," Methodology and Computing in Applied Probability, Springer, vol. 26(2), pages 1-28, June.

  13. Marcos Escobar-Anel & Ben Spies & Rudi Zagst, 2021. "Expected Utility Theory on General Affine GARCH Models," Applied Mathematical Finance, Taylor & Francis Journals, vol. 28(6), pages 477-507, November.

    Cited by:

    1. Escobar-Anel, Marcos & Spies, Ben & Zagst, Rudi, 2024. "Mean–variance optimization under affine GARCH: A utility-based solution," Finance Research Letters, Elsevier, vol. 59(C).
    2. Marcos Escobar-Anel & Ben Spies & Rudi Zagst, 2024. "Optimal consumption and investment in general affine GARCH models," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(3), pages 987-1026, September.
    3. Marcos Escobar-Anel & Eric Molter & Rudi Zagst, 2024. "The power of derivatives in portfolio optimization under affine GARCH models," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 47(1), pages 151-181, June.
    4. Marcos Escobar-Anel & Max Speck & Rudi Zagst, 2024. "Bayesian Learning in an Affine GARCH Model with Application to Portfolio Optimization," Mathematics, MDPI, vol. 12(11), pages 1-27, May.

  14. Marcos Escobar-Anel & Andreas Lichtenstern & Rudi Zagst, 2020. "Behavioral portfolio insurance strategies," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(4), pages 353-399, December.

    Cited by:

    1. Raquel M. Gaspar & Paulo M. Silva, 2019. "Investors’ Perspective on Portfolio InsuranceExpected Utility vs Prospect Theories," Working Papers REM 2019/92, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    2. Tatiana Filatova & Peter Brusov & Natali Orekhova, 2022. "Impact of Advance Payments of Tax on Profit on Effectiveness of Investments," Mathematics, MDPI, vol. 10(4), pages 1-25, February.
    3. Peter Brusov & Tatiana Filatova & Natali Orekhova, 2023. "Innovative Investment Models with Frequent Payments of Tax on Income and of Interest on Debt," Springer Books, in: The Brusov–Filatova–Orekhova Theory of Capital Structure, chapter 0, pages 501-528, Springer.

  15. Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2020. "Affine multivariate GARCH models," Journal of Banking & Finance, Elsevier, vol. 118(C).

    Cited by:

    1. Escobar-Anel, Marcos & Spies, Ben & Zagst, Rudi, 2024. "Mean–variance optimization under affine GARCH: A utility-based solution," Finance Research Letters, Elsevier, vol. 59(C).
    2. Escobar-Anel, Marcos & Gollart, Maximilian & Zagst, Rudi, 2022. "Closed-form portfolio optimization under GARCH models," Operations Research Perspectives, Elsevier, vol. 9(C).
    3. Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2023. "Covariance dependent kernels, a Q-affine GARCH for multi-asset option pricing," International Review of Financial Analysis, Elsevier, vol. 87(C).
    4. Song, Shiyu & Tang, Dan & Xu, Guangli & Yin, Xunbai, 2023. "An analytical GARCH valuation model for spread options with default risk," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 1-20.
    5. Aljohani, Bader M. & Fadul, Abubaker & Asiri, Maram S. & Alkhathami, Abdulrahman D. & Hasan, Fakhrul, 2024. "Volatility transmission in the property market during two inflationary periods: The 2008–2009 global financial crisis and the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 70(PB).

  16. Escobar-Anel, M. & Havrylenko, Y. & Zagst, R., 2020. "Optimal fees in hedge funds with first-loss compensation," Journal of Banking & Finance, Elsevier, vol. 118(C).
    See citations under working paper version above.
  17. Marcos Escobar‐Anel & Zhenxian Gong, 2020. "The mean‐reverting 4/2 stochastic volatility model: Properties and financial applications," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 36(5), pages 836-856, September.

    Cited by:

    1. Zhu, Yichen & Escobar-Anel, Marcos, 2022. "Polynomial affine approach to HARA utility maximization with applications to OrnsteinUhlenbeck 4/2 models," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    2. Yuyang Cheng & Marcos Escobar-Anel & Zhenxian Gong, 2019. "Generalized Mean-Reverting 4/2 Factor Model," JRFM, MDPI, vol. 12(4), pages 1-21, October.
    3. Yichen Zhu & Marcos Escobar-Anel, 2021. "A Neural Network Monte Carlo Approximation for Expected Utility Theory," JRFM, MDPI, vol. 14(7), pages 1-18, July.
    4. Cao, Jiling & Kim, Jeong-Hoon & Liu, Wenqiang & Zhang, Wenjun, 2023. "Rescaling the double-mean-reverting 4/2 stochastic volatility model for derivative pricing," Finance Research Letters, Elsevier, vol. 58(PB).

  18. Jiang, Wenjun & Escobar-Anel, Marcos & Ren, Jiandong, 2020. "Optimal Insurance Contracts Under Distortion Risk Measures With Ambiguity Aversion," ASTIN Bulletin, Cambridge University Press, vol. 50(2), pages 619-646, May.

    Cited by:

    1. Boonen, Tim J. & Jiang, Wenjun, 2022. "A marginal indemnity function approach to optimal reinsurance under the Vajda condition," European Journal of Operational Research, Elsevier, vol. 303(2), pages 928-944.
    2. Liu, Haiyan & Mao, Tiantian, 2022. "Distributionally robust reinsurance with Value-at-Risk and Conditional Value-at-Risk," Insurance: Mathematics and Economics, Elsevier, vol. 107(C), pages 393-417.
    3. John A. Major & Stephen J. Mildenhall, 2020. "Pricing and Capital Allocation for Multiline Insurance Firms With Finite Assets in an Imperfect Market," Papers 2008.12427, arXiv.org.
    4. Cong Tam Trinh & Xuan Nguyen & Pasquale Sgro, 2021. "Culture and the demand for non‐life insurance: Empirical evidences from middle‐income and high‐income economies," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(3), pages 431-458, July.
    5. Bradley, Richard, 2025. "Catastrophe insurance decision making when the science is uncertain," LSE Research Online Documents on Economics 122339, London School of Economics and Political Science, LSE Library.
    6. Corina Birghila & Tim J. Boonen & Mario Ghossoub, 2023. "Optimal insurance under maxmin expected utility," Finance and Stochastics, Springer, vol. 27(2), pages 467-501, April.
    7. Wei Wang & Huifu Xu, 2023. "Preference robust state-dependent distortion risk measure on act space and its application in optimal decision making," Computational Management Science, Springer, vol. 20(1), pages 1-51, December.
    8. Boonen, Tim J. & Jiang, Wenjun, 2024. "Robust insurance design with distortion risk measures," European Journal of Operational Research, Elsevier, vol. 316(2), pages 694-706.

  19. Marcos Escobar & Paul Kriebel & Markus Wahl & Rudi Zagst, 2019. "Portfolio optimization under Solvency II," Annals of Operations Research, Springer, vol. 281(1), pages 193-227, October.

    Cited by:

    1. Escobar-Anel, Marcos & Havrylenko, Yevhen & Kschonnek, Michel & Zagst, Rudi, 2022. "Decrease of capital guarantees in life insurance products: Can reinsurance stop it?," Insurance: Mathematics and Economics, Elsevier, vol. 105(C), pages 14-40.
    2. Marcos Escobar-Anel & Michel Kschonnek & Rudi Zagst, 2022. "Portfolio optimization: not necessarily concave utility and constraints on wealth and allocation," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 95(1), pages 101-140, February.
    3. Kolos Csaba 'Agoston & Veronika Varga, 2024. "Bertrand oligopoly in insurance markets with Value at Risk Constraints," Papers 2404.17915, arXiv.org.
    4. Kerstin Dächert & Ria Grindel & Elisabeth Leoff & Jonas Mahnkopp & Florian Schirra & Jörg Wenzel, 2022. "Multicriteria asset allocation in practice," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 349-373, June.
    5. Kerstin Dachert & Ria Grindel & Elisabeth Leoff & Jonas Mahnkopp & Florian Schirra & Jorg Wenzel, 2021. "Multicriteria asset allocation in practice," Papers 2103.10958, arXiv.org.
    6. Philippe Bertrand, 2024. "Black-scholes approximation of warrant prices: slight return in a low interest rate environment," Annals of Operations Research, Springer, vol. 334(1), pages 83-100, March.

  20. Yuyang Cheng & Marcos Escobar-Anel & Zhenxian Gong, 2019. "Generalized Mean-Reverting 4/2 Factor Model," JRFM, MDPI, vol. 12(4), pages 1-21, October.

    Cited by:

    1. Alessandro Gnoatto & Martino Grasselli & Eckhard Platen, 2021. "Calibration to FX Triangles of the 4/2 Model Under the Benchmark Approach," Working Papers 06/2021, University of Verona, Department of Economics.
    2. Lars Stentoft, 2020. "Computational Finance," JRFM, MDPI, vol. 13(7), pages 1-4, July.

  21. V. Bergen & M. Escobar & A. Rubtsov & R. Zagst, 2018. "Robust multivariate portfolio choice with stochastic covariance in the presence of ambiguity," Quantitative Finance, Taylor & Francis Journals, vol. 18(8), pages 1265-1294, August.

    Cited by:

    1. Ben-Zhang Yang & Xiaoping Lu & Guiyuan Ma & Song-Ping Zhu, 2020. "Robust Portfolio Optimization with Multi-Factor Stochastic Volatility," Journal of Optimization Theory and Applications, Springer, vol. 186(1), pages 264-298, July.
    2. Panos Xidonas & Ralph Steuer & Christis Hassapis, 2020. "Robust portfolio optimization: a categorized bibliographic review," Annals of Operations Research, Springer, vol. 292(1), pages 533-552, September.
    3. Christoph Bühren & Fabian Meier & Marco Pleßner, 2023. "Ambiguity aversion: bibliometric analysis and literature review of the last 60 years," Management Review Quarterly, Springer, vol. 73(2), pages 495-525, June.
    4. Junhe Chen & Marcos Escobar-Anel, 2021. "Model uncertainty on commodity portfolios, the role of convenience yield," Annals of Finance, Springer, vol. 17(4), pages 501-528, December.
    5. Pier Francesco Procacci & Tomaso Aste, 2018. "Forecasting market states," Papers 1807.05836, arXiv.org, revised May 2019.
    6. Ben-Zhang Yang & Xiaoping Lu & Guiyuan Ma & Song-Ping Zhu, 2019. "Robust portfolio optimization with multi-factor stochastic volatility," Papers 1910.06872, arXiv.org, revised Jun 2020.
    7. Wang, Hang & Hu, Zhijun, 2020. "Optimal consumption and portfolio decision with stochastic covariance in incomplete markets," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).

  22. Escobar, Marcos & Ferrando, Sebastian & Rubtsov, Alexey, 2018. "Dynamic derivative strategies with stochastic interest rates and model uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 49-71.

    Cited by:

    1. Benjamin Cheng & Christina Sklibosios Nikitopoulos & Erik Schlögl, 2019. "Interest rate risk in long‐dated commodity options positions: To hedge or not to hedge?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 109-127, January.
    2. Yichen Zhu & Marcos Escobar-Anel & Matt Davison, 2023. "A Polynomial-Affine Approximation for Dynamic Portfolio Choice," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1177-1213, October.
    3. Lin, Qian & Sun, Xianming & Zhou, Chao, 2020. "Horizon-unbiased investment with ambiguity," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    4. An Chen & Thai Nguyen & Manuel Rach, 2021. "A collective investment problem in a stochastic volatility environment: The impact of sharing rules," Annals of Operations Research, Springer, vol. 302(1), pages 85-109, July.
    5. L.J. Basson & Sune Ferreira-Schenk & Zandri Dickason-Koekemoer, 2022. "Fractal Dimension Option Hedging Strategy Implementation During Turbulent Market Conditions in Developing and Developed Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 12(2), pages 84-95, March.
    6. Aiqin Ma & Cuiyun Zhang & Yubing Wang, 2023. "Optimal Consumption and Investment Problem under 4/2-CIR Stochastic Hybrid Model," Mathematics, MDPI, vol. 11(17), pages 1-19, August.
    7. Wei, Pengyu & Yang, Charles & Zhuang, Yi, 2023. "Robust consumption and portfolio choice with derivatives trading," European Journal of Operational Research, Elsevier, vol. 304(2), pages 832-850.
    8. Qian Lin & Xianming Sun & Chao Zhou, 2019. "Horizon-unbiased Investment with Ambiguity," Papers 1904.09379, arXiv.org.
    9. Yumo Zhang, 2022. "Dynamic optimal mean-variance portfolio selection with stochastic volatility and stochastic interest rate," Annals of Finance, Springer, vol. 18(4), pages 511-544, December.
    10. Hu, Duni & Wang, Hailong, 2019. "Reinsurance contract design when the insurer is ambiguity-averse," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 241-255.

  23. Marcos Escobar-Anel & Vincent Höhn & Luis Seco & Rudi Zagst, 2018. "Optimal fee structures in hedge funds," Journal of Asset Management, Palgrave Macmillan, vol. 19(7), pages 522-542, December.

    Cited by:

    1. Escobar-Anel, M. & Havrylenko, Y. & Zagst, R., 2020. "Optimal fees in hedge funds with first-loss compensation," Journal of Banking & Finance, Elsevier, vol. 118(C).
    2. Dickinson, David & Han, Xuyuan & Liu, Zhenya & Zhan, Yaosong, 2024. "Fee structure and equity fund manager’s optimal locking in profits strategy," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    3. David Saunders & Luis Seco & Markus Senn, 2020. "Price of liquidity in the reinsurance of fund returns," Papers 2011.13268, arXiv.org.

  24. Marcos Escobar & Christoph Gschnaidtner, 2018. "A multivariate stochastic volatility model with applications in the foreign exchange market," Review of Derivatives Research, Springer, vol. 21(1), pages 1-43, April.

    Cited by:

    1. Claudio Fontana & Alessandro Gnoatto & Guillaume Szulda, 2021. "CBI-time-changed Lévy processes for multi-currency modeling," Working Papers 14/2021, University of Verona, Department of Economics.
    2. Claudio Fontana & Alessandro Gnoatto & Guillaume Szulda, 2024. "CBI-time-changed Lévy processes for multi-currency modeling," Annals of Operations Research, Springer, vol. 336(1), pages 127-152, May.
    3. Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2020. "Affine multivariate GARCH models," Journal of Banking & Finance, Elsevier, vol. 118(C).
    4. Ospina-Forero, Luis & Granados, Oscar M., 2023. "A network analysis of the structure and dynamics of FX derivatives markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    5. Shiraya, Kenichiro & Yamakami, Tomohisa, 2024. "Constructing copulas using corrected Hermite polynomial expansion for estimating cross foreign exchange volatility," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1195-1214.
    6. Henao-Londono, Juan C. & Guhr, Thomas, 2022. "Foreign exchange markets: Price response and spread impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    7. Wang, Hang & Hu, Zhijun, 2020. "Optimal consumption and portfolio decision with stochastic covariance in incomplete markets," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).

  25. Barbara Goetz & Marcos Escobar & Rudi Zagst, 2017. "Two asset-barrier option under stochastic volatility," Applied Mathematical Finance, Taylor & Francis Journals, vol. 24(6), pages 520-546, November.

    Cited by:

    1. Ha, Mijin & Kim, Donghyun & Yoon, Ji-Hun, 2024. "Valuing of timer path-dependent options," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 215(C), pages 208-227.
    2. Lee, Hangsuck & Ha, Hongjun & Kong, Byungdoo & Lee, Minha, 2024. "Valuing three-asset barrier options and autocallable products via exit probabilities of Brownian bridge," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).

  26. Marcos Escobar & Sebastian Ferrando & Alexey Rubtsov, 2017. "Optimal investment under multi-factor stochastic volatility," Quantitative Finance, Taylor & Francis Journals, vol. 17(2), pages 241-260, February.

    Cited by:

    1. Ben-Zhang Yang & Xiaoping Lu & Guiyuan Ma & Song-Ping Zhu, 2020. "Robust Portfolio Optimization with Multi-Factor Stochastic Volatility," Journal of Optimization Theory and Applications, Springer, vol. 186(1), pages 264-298, July.
    2. Zhu, Yichen & Escobar-Anel, Marcos, 2022. "Polynomial affine approach to HARA utility maximization with applications to OrnsteinUhlenbeck 4/2 models," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    3. Wang, Ning & Zhang, Yumo, 2024. "Robust asset-liability management games for n players under multivariate stochastic covariance models," Insurance: Mathematics and Economics, Elsevier, vol. 117(C), pages 67-98.
    4. Yichen Zhu & Marcos Escobar-Anel & Matt Davison, 2023. "A Polynomial-Affine Approximation for Dynamic Portfolio Choice," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1177-1213, October.
    5. Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2020. "Affine multivariate GARCH models," Journal of Banking & Finance, Elsevier, vol. 118(C).
    6. Junhe Chen & Marcos Escobar-Anel, 2021. "Model uncertainty on commodity portfolios, the role of convenience yield," Annals of Finance, Springer, vol. 17(4), pages 501-528, December.
    7. Matt Davison & Marcos Escobar-Anel & Yichen Zhu, 2024. "Optimal Market Completion through Financial Derivatives with Applications to Volatility Risk," JRFM, MDPI, vol. 17(10), pages 1-20, October.
    8. Ben-Zhang Yang & Xiaoping Lu & Guiyuan Ma & Song-Ping Zhu, 2019. "Robust portfolio optimization with multi-factor stochastic volatility," Papers 1910.06872, arXiv.org, revised Jun 2020.
    9. Wang, Hang & Hu, Zhijun, 2020. "Optimal consumption and portfolio decision with stochastic covariance in incomplete markets," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    10. Marcos Escobar-Anel & Harold A. Moreno-Franco, 2019. "Dynamic portfolio strategies under a fully correlated jump-diffusion process," Annals of Finance, Springer, vol. 15(3), pages 421-453, September.

  27. M. Escobar & D. Neykova & R. Zagst, 2017. "HARA utility maximization in a Markov-switching bond–stock market," Quantitative Finance, Taylor & Francis Journals, vol. 17(11), pages 1715-1733, November.

    Cited by:

    1. Zhu, Yichen & Escobar-Anel, Marcos, 2022. "Polynomial affine approach to HARA utility maximization with applications to OrnsteinUhlenbeck 4/2 models," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    2. Mustafa Demirel & Gazanfer Unal, 2020. "Applying multivariate-fractionally integrated volatility analysis on emerging market bond portfolios," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    3. Yichen Zhu & Marcos Escobar-Anel, 2021. "A Neural Network Monte Carlo Approximation for Expected Utility Theory," JRFM, MDPI, vol. 14(7), pages 1-18, July.
    4. Jiaqi Zhu & Shenghong Li, 2020. "Time-Consistent Investment and Reinsurance Strategies for Mean-Variance Insurers under Stochastic Interest Rate and Stochastic Volatility," Mathematics, MDPI, vol. 8(12), pages 1-22, December.
    5. Yumo Zhang, 2023. "Utility maximization in a stochastic affine interest rate and CIR risk premium framework: a BSDE approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(1), pages 97-128, June.
    6. Yumo Zhang, 2022. "Dynamic optimal mean-variance portfolio selection with stochastic volatility and stochastic interest rate," Annals of Finance, Springer, vol. 18(4), pages 511-544, December.

  28. Marcos Escobar & Mikhail Krayzler & Franz Ramsauer & David Saunders & Rudi Zagst, 2016. "Incorporation of Stochastic Policyholder Behavior in Analytical Pricing of GMABs and GMDBs," Risks, MDPI, vol. 4(4), pages 1-36, November.

    Cited by:

    1. Ballotta, Laura & Eberlein, Ernst & Schmidt, Thorsten & Zeineddine, Raghid, 2021. "Fourier based methods for the management of complex life insurance products," Insurance: Mathematics and Economics, Elsevier, vol. 101(PB), pages 320-341.
    2. Pavel V. Shevchenko, 2018. "Special Issue “Ageing Population Risks”," Risks, MDPI, vol. 6(1), pages 1-2, March.
    3. Huang, Yiming & Mamon, Rogemar & Xiong, Heng, 2022. "Valuing guaranteed minimum accumulation benefits by a change of numéraire approach," Insurance: Mathematics and Economics, Elsevier, vol. 103(C), pages 1-26.
    4. Kira Henshaw & Cedric H. A. Koffi & Olivier Menoukeu Pamen & Raghid Zeineddine, 2024. "On the valuation of life insurance policies for dependent coupled lives," Papers 2410.11849, arXiv.org.
    5. Ungolo, Francesco & van den Heuvel, Edwin R., 2024. "A Dirichlet process mixture regression model for the analysis of competing risk events," Insurance: Mathematics and Economics, Elsevier, vol. 116(C), pages 95-113.

  29. Escobar, Marcos & Ferrando, Sebastian & Rubtsov, Alexey, 2016. "Portfolio choice with stochastic interest rates and learning about stock return predictability," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 347-370.

    Cited by:

    1. Wang, Pei & Shen, Yang & Zhang, Ling & Kang, Yuxin, 2021. "Equilibrium investment strategy for a DC pension plan with learning about stock return predictability," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 384-407.
    2. Huang, Jia & Chen, Zheng, 2021. "Optimal risk asset allocation of a loss-averse bank with partial information under inflation risk," Finance Research Letters, Elsevier, vol. 38(C).
    3. Peng, Xingchun & Li, Baihui, 2023. "Optimal investment, consumption and life insurance purchase with learning about return predictability," Insurance: Mathematics and Economics, Elsevier, vol. 113(C), pages 70-95.
    4. Wang, Ning & Siu, Tak Kuen, 2024. "Investment–consumption optimization with transaction cost and learning about return predictability," European Journal of Operational Research, Elsevier, vol. 318(3), pages 877-891.
    5. Zilan Liu & Huanying Zhang & Yijun Wang & Ya Huang, 2024. "Optimal Investment for Defined-Contribution Pension Plans with the Return of Premium Clause under Partial Information," Mathematics, MDPI, vol. 12(13), pages 1-22, July.

  30. Monika Bi & Marcos Escobar & Barbara Goetz & Rudi Zagst, 2016. "Principal component models with stochastic mean‐reverting levels. Pricing and covariance surface improvements," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 32(5), pages 585-606, September.

    Cited by:

    1. Peter Carr & Andrey Itkin, 2019. "ADOL - Markovian approximation of rough lognormal model," Papers 1904.09240, arXiv.org.

  31. Marcos Escobar & Barbara Götz & Daniela Neykova & Rudi Zagst, 2015. "Pricing Two-Asset Barrier Options Under Stochastic Correlation Via Perturbation," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-44.

    Cited by:

    1. Marcos Escobar & Sven Panz, 2016. "A Note on the Impact of Parameter Uncertainty on Barrier Derivatives," Risks, MDPI, vol. 4(4), pages 1-25, September.

  32. Escobar, Marcos & Ferrando, Sebastian & Rubtsov, Alexey, 2015. "Robust portfolio choice with derivative trading under stochastic volatility," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 142-157.

    Cited by:

    1. Ben-Zhang Yang & Xiaoping Lu & Guiyuan Ma & Song-Ping Zhu, 2020. "Robust Portfolio Optimization with Multi-Factor Stochastic Volatility," Journal of Optimization Theory and Applications, Springer, vol. 186(1), pages 264-298, July.
    2. Cheng, Yuyang & Escobar-Anel, Marcos, 2023. "A class of portfolio optimization solvable problems," Finance Research Letters, Elsevier, vol. 52(C).
    3. Escobar-Anel, Marcos & Gollart, Maximilian & Zagst, Rudi, 2022. "Closed-form portfolio optimization under GARCH models," Operations Research Perspectives, Elsevier, vol. 9(C).
    4. Wang, Ning & Zhang, Yumo, 2024. "Robust asset-liability management games for n players under multivariate stochastic covariance models," Insurance: Mathematics and Economics, Elsevier, vol. 117(C), pages 67-98.
    5. Walter Mudzimbabwe, 2020. "A time consistent derivative strategy," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 1-25, March.
    6. Castañeda, Pablo & Reus, Lorenzo, 2019. "Suboptimal investment behavior and welfare costs: A simulation based approach," Finance Research Letters, Elsevier, vol. 30(C), pages 170-180.
    7. Horst, Ulrich & Xia, Xiaonyu & Zhou, Chao, 2021. "Portfolio Liquidation under Factor Uncertainty," Rationality and Competition Discussion Paper Series 274, CRC TRR 190 Rationality and Competition.
    8. Yuyang Cheng & Marcos Escobar-Anel, 2023. "Optimal Consumption and Robust Portfolio Choice for the 3/2 and 4/2 Stochastic Volatility Models," Mathematics, MDPI, vol. 11(18), pages 1-28, September.
    9. Yoshioka, Hidekazu & Yaegashi, Yuta, 2019. "A finite difference scheme for variational inequalities arising in stochastic control problems with several singular control variables," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 156(C), pages 40-66.
    10. Zeng, Yan & Li, Danping & Chen, Zheng & Yang, Zhou, 2018. "Ambiguity aversion and optimal derivative-based pension investment with stochastic income and volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 70-103.
    11. Junhe Chen & Marcos Escobar-Anel, 2021. "Model uncertainty on commodity portfolios, the role of convenience yield," Annals of Finance, Springer, vol. 17(4), pages 501-528, December.
    12. Zhou Yang & Jing Zhang & Chao Zhou, 2022. "Robust control problems of BSDEs coupled with value functions," Papers 2208.10735, arXiv.org.
    13. Balter, Anne G. & Mahayni, Antje & Schweizer, Nikolaus, 2021. "Time-consistency of optimal investment under smooth ambiguity," European Journal of Operational Research, Elsevier, vol. 293(2), pages 643-657.
    14. Guohui Guan & Zongxia Liang & Yi Xia, 2024. "Many-insurer robust games of reinsurance and investment under model uncertainty in incomplete markets," Papers 2412.09157, arXiv.org.
    15. Ben-Zhang Yang & Xiaoping Lu & Guiyuan Ma & Song-Ping Zhu, 2019. "Robust portfolio optimization with multi-factor stochastic volatility," Papers 1910.06872, arXiv.org, revised Jun 2020.
    16. Jun Deng & Huifeng Pan & Shuyu Zhang & Bin Zou, 2021. "Optimal Bitcoin trading with inverse futures," Annals of Operations Research, Springer, vol. 304(1), pages 139-163, September.
    17. Wei, Pengyu & Yang, Charles & Zhuang, Yi, 2023. "Robust consumption and portfolio choice with derivatives trading," European Journal of Operational Research, Elsevier, vol. 304(2), pages 832-850.
    18. Wang, Pei & Li, Zhongfei, 2018. "Robust optimal investment strategy for an AAM of DC pension plans with stochastic interest rate and stochastic volatility," Insurance: Mathematics and Economics, Elsevier, vol. 80(C), pages 67-83.
    19. Feng Sun & Cheng Liu & Xiaoguang Zhou, 2017. "Analysis of industry risk premium with MVS three dimensions vector factor model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1374814-137, January.
    20. Ulrich Horst & Xiaonyu Xia & Chao Zhou, 2019. "Portfolio liquidation under factor uncertainty," Papers 1909.00748, arXiv.org.
    21. Wang, Ning & Zhang, Yumo, 2023. "Robust optimal asset-liability management with mispricing and stochastic factor market dynamics," Insurance: Mathematics and Economics, Elsevier, vol. 113(C), pages 251-273.
    22. Marcos Escobar-Anel & Harold A. Moreno-Franco, 2019. "Dynamic portfolio strategies under a fully correlated jump-diffusion process," Annals of Finance, Springer, vol. 15(3), pages 421-453, September.
    23. Li, Danping & Shen, Yang & Zeng, Yan, 2018. "Dynamic derivative-based investment strategy for mean–variance asset–liability management with stochastic volatility," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 72-86.
    24. Escobar, Marcos & Ferrando, Sebastian & Rubtsov, Alexey, 2018. "Dynamic derivative strategies with stochastic interest rates and model uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 49-71.
    25. Hu, Duni & Chen, Shou & Wang, Hailong, 2018. "Robust reinsurance contracts with uncertainty about jump risk," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1175-1188.
    26. Wei Wang & Qianyan Li & Quan Li & Song Xu, 2023. "Robust Optimal Investment Strategies with Exchange Rate Risk and Default Risk," Mathematics, MDPI, vol. 11(6), pages 1-17, March.

  33. Marcos Escobar & Daniela Neykova & Rudi Zagst, 2015. "Portfolio Optimization In Affine Models With Markov Switching," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1-46.
    See citations under working paper version above.
  34. Daniela Neykova & Marcos Escobar & Rudi Zagst, 2015. "Optimal investment in multidimensional Markov-modulated affine models," Annals of Finance, Springer, vol. 11(3), pages 503-530, November.

    Cited by:

    1. M. Escobar & D. Neykova & R. Zagst, 2017. "HARA utility maximization in a Markov-switching bond–stock market," Quantitative Finance, Taylor & Francis Journals, vol. 17(11), pages 1715-1733, November.
    2. Wang, Hang & Hu, Zhijun, 2020. "Optimal consumption and portfolio decision with stochastic covariance in incomplete markets," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).

  35. Marcos Escobar & Barbara G�tz & Daniela Neykova & Rudi Zagst, 2014. "Stochastic Correlation and Volatility Mean-reversion - Empirical Motivation and Derivatives Pricing via Perturbation Theory," Applied Mathematical Finance, Taylor & Francis Journals, vol. 21(6), pages 555-594, December.

    Cited by:

    1. M. Escobar & D. Neykova & R. Zagst, 2017. "HARA utility maximization in a Markov-switching bond–stock market," Quantitative Finance, Taylor & Francis Journals, vol. 17(11), pages 1715-1733, November.
    2. Daniela Neykova & Marcos Escobar & Rudi Zagst, 2015. "Optimal investment in multidimensional Markov-modulated affine models," Annals of Finance, Springer, vol. 11(3), pages 503-530, November.

  36. Marcos Escobar & Julio Hernandez, 2014. "A Note on the Distribution of Multivariate Brownian Extrema," International Journal of Stochastic Analysis, Hindawi, vol. 2014, pages 1-6, November.

    Cited by:

    1. Diana Dorobantu & Yahia Salhi & Pierre-E. Thérond, 2020. "Modelling Net Carrying Amount of Shares for Market Consistent Valuation of Life Insurance Liabilities," Methodology and Computing in Applied Probability, Springer, vol. 22(2), pages 711-745, June.
    2. G. A. Delsing & M. R. H. Mandjes & P. J. C. Spreij & E. M. M. Winands, 2020. "Asymptotics and Approximations of Ruin Probabilities for Multivariate Risk Processes in a Markovian Environment," Methodology and Computing in Applied Probability, Springer, vol. 22(3), pages 927-948, September.
    3. Marcos Escobar & Sven Panz, 2016. "A Note on the Impact of Parameter Uncertainty on Barrier Derivatives," Risks, MDPI, vol. 4(4), pages 1-25, September.

  37. Barbara G�tz & Marcos Escobar & Rudi Zagst, 2014. "Closed-Form Pricing of Two-Asset Barrier Options with Stochastic Covariance," Applied Mathematical Finance, Taylor & Francis Journals, vol. 21(4), pages 363-397, September.

    Cited by:

    1. Marcos Escobar & Sven Panz, 2016. "A Note on the Impact of Parameter Uncertainty on Barrier Derivatives," Risks, MDPI, vol. 4(4), pages 1-25, September.

  38. Marcos Escobar & Peter Hieber & Matthias Scherer, 2014. "Efficiently pricing double barrier derivatives in stochastic volatility models," Review of Derivatives Research, Springer, vol. 17(2), pages 191-216, July.

    Cited by:

    1. Holger Fink & Stefan Mittnik, 2021. "Quanto Pricing beyond Black–Scholes," JRFM, MDPI, vol. 14(3), pages 1-27, March.
    2. Tian, Miao & Yang, Xiangfeng & Zhang, Yi, 2019. "Barrier option pricing of mean-reverting stock model in uncertain environment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 166(C), pages 126-143.
    3. Peter Hieber, 2018. "Pricing exotic options in a regime switching economy: a Fourier transform method," Review of Derivatives Research, Springer, vol. 21(2), pages 231-252, July.

  39. Marcos Escobar & Sebastian Ferrando & Xianzhang Wen, 2014. "Barrier options in three dimensions," International Journal of Financial Markets and Derivatives, Inderscience Enterprises Ltd, vol. 3(3), pages 260-292.

    Cited by:

    1. Vadim Kaushansky & Alexander Lipton & Christoph Reisinger, 2017. "Transition probability of Brownian motion in the octant and its application to default modeling," Papers 1801.00362, arXiv.org, revised May 2018.

  40. German Bernhart & Marcos Escobar Anel & Jan-Frederik Mai & Matthias Scherer, 2013. "Default models based on scale mixtures of Marshall-Olkin copulas: properties and applications," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(2), pages 179-203, February.

    Cited by:

    1. Choe, Geon Ho & Choi, So Eun & Jang, Hyun Jin, 2020. "Assessment of time-varying systemic risk in credit default swap indices: Simultaneity and contagiousness," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Umberto Cherubini & Sabrina Mulinacci, 2015. "Systemic Risk with Exchangeable Contagion: Application to the European Banking System," Papers 1502.01918, arXiv.org.
    3. Mai, Jan-Frederik & Scherer, Matthias, 2012. "H-extendible copulas," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 151-160.
    4. Umberto Cherubini & Sabrina Mulinacci, 2021. "Hierarchical Archimedean Dependence in Common Shock Models," Methodology and Computing in Applied Probability, Springer, vol. 23(1), pages 143-163, March.
    5. Sabrina Mulinacci, 2022. "A Marshall-Olkin Type Multivariate Model with Underlying Dependent Shocks," Methodology and Computing in Applied Probability, Springer, vol. 24(4), pages 2455-2484, December.
    6. Charpentier, A. & Fougères, A.-L. & Genest, C. & Nešlehová, J.G., 2014. "Multivariate Archimax copulas," Journal of Multivariate Analysis, Elsevier, vol. 126(C), pages 118-136.
    7. Sabrina Mulinacci, 2015. "Archimedean-based Marshall-Olkin Distributions and Related Copula Functions," Papers 1502.01912, arXiv.org.
    8. Sabrina Mulinacci, 2017. "A systemic shock model for too big to fail financial institutions," Papers 1704.02160, arXiv.org, revised Apr 2017.
    9. Sabrina Mulinacci, 2018. "Archimedean-based Marshall-Olkin Distributions and Related Dependence Structures," Methodology and Computing in Applied Probability, Springer, vol. 20(1), pages 205-236, March.

  41. Marcos Escobar & Pablo Olivares, 2013. "Pricing of mountain range derivatives under a principal component stochastic volatility model," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 29(1), pages 31-44, January.

    Cited by:

    1. Marcos Escobar & Sebastian Ferrando & Alexey Rubtsov, 2017. "Optimal investment under multi-factor stochastic volatility," Quantitative Finance, Taylor & Francis Journals, vol. 17(2), pages 241-260, February.
    2. Daniela Neykova & Marcos Escobar & Rudi Zagst, 2015. "Optimal investment in multidimensional Markov-modulated affine models," Annals of Finance, Springer, vol. 11(3), pages 503-530, November.
    3. Marcos Escobar & Christoph Gschnaidtner, 2018. "A multivariate stochastic volatility model with applications in the foreign exchange market," Review of Derivatives Research, Springer, vol. 21(1), pages 1-43, April.
    4. Marcos Escobar & Daniel Krause & Rudi Zagst, 2016. "Stochastic covariance and dimension reduction in the pricing of basket options," Review of Derivatives Research, Springer, vol. 19(3), pages 165-200, October.
    5. Wang, Hang & Hu, Zhijun, 2020. "Optimal consumption and portfolio decision with stochastic covariance in incomplete markets," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    6. Marcos Escobar & Sven Panz, 2016. "A Note on the Impact of Parameter Uncertainty on Barrier Derivatives," Risks, MDPI, vol. 4(4), pages 1-25, September.

  42. Escobar, Marcos & Friederich, Tim & Seco, Luis & Zagst, Rudi, 2011. "A General Structural Approach For Credit Modeling Under Stochastic Volatility," Journal of Financial Transformation, Capco Institute, vol. 32, pages 123-132.

    Cited by:

    1. Marcos Escobar & Peter Hieber & Matthias Scherer, 2014. "Efficiently pricing double barrier derivatives in stochastic volatility models," Review of Derivatives Research, Springer, vol. 17(2), pages 191-216, July.

  43. Marcos Escobar & Pablo Olivares, 2011. "Risk Management Under A Factor Stochastic Volatility Model," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 28(01), pages 65-80.

    Cited by:

    1. Shuang Xiao & Guo Li & Yunjing Jia, 2017. "Estimating the Constant Elasticity of Variance Model with Data-Driven Markov Chain Monte Carlo Methods," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-23, February.

  44. Alexander Alvarez & Marcos Escobar & Pablo Olivares, 2011. "Pricing two dimensional derivatives under stochastic correlation," International Journal of Financial Markets and Derivatives, Inderscience Enterprises Ltd, vol. 2(4), pages 265-287.

    Cited by:

    1. Enrique Villamor & Pablo Olivares, 2020. "Pricing Exchange Options under Stochastic Correlation," Papers 2001.03967, arXiv.org.
    2. Marcos Escobar & Pablo Olivares, 2011. "Risk Management Under A Factor Stochastic Volatility Model," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 28(01), pages 65-80.
    3. Villamor, Enrique & Olivares, Pablo, 2024. "Pricing exchange options under stochastic correlation," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).

  45. Marcos Escobar & Barbara Gotz & Luis Seco & Rudi Zagst, 2010. "Pricing a CDO on stochastically correlated underlyings," Quantitative Finance, Taylor & Francis Journals, vol. 10(3), pages 265-277.

    Cited by:

    1. Daniela Neykova & Marcos Escobar & Rudi Zagst, 2015. "Optimal investment in multidimensional Markov-modulated affine models," Annals of Finance, Springer, vol. 11(3), pages 503-530, November.
    2. Wang, Hang & Hu, Zhijun, 2020. "Optimal consumption and portfolio decision with stochastic covariance in incomplete markets," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).

  46. Janko Hernandez & Pablo Olivares & Marcos Escobar, 2009. "Asymptotic behavior of maximum likelihood estimators in a branching diffusion model," Statistical Inference for Stochastic Processes, Springer, vol. 12(2), pages 115-137, June.

    Cited by:

    1. Pablo Olivares & Janko Hernandez, 2012. "Maximum Likelihood Estimators for a Supercritical Branching Diffusion Process," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2012, pages 1-20, November.

  47. Abínzano, Isabel & Seco, Luis & Escobar, Marcos & Olivares, Pablo, 2009. "Single and Double Black-Cox: Two approaches for modelling debt restructuring," Economic Modelling, Elsevier, vol. 26(5), pages 910-917, September.

    Cited by:

    1. Ballestra, Luca Vincenzo & Pacelli, Graziella, 2014. "Valuing risky debt: A new model combining structural information with the reduced-form approach," Insurance: Mathematics and Economics, Elsevier, vol. 55(C), pages 261-271.
    2. Shibata, Takashi & Tian, Yuan, 2012. "Debt reorganization strategies with complete verification under information asymmetry," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 141-160.
    3. Ayadi, Mohamed A. & Ben-Ameur, Hatem & Fakhfakh, Tarek, 2016. "A dynamic program for valuing corporate securities," European Journal of Operational Research, Elsevier, vol. 249(2), pages 751-770.
    4. Ballestra, Luca Vincenzo & Pacelli, Graziella & Radi, Davide, 2020. "Modeling CDS spreads: A comparison of some hybrid approaches," Journal of Empirical Finance, Elsevier, vol. 57(C), pages 107-124.

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