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Publications

by alumni of

RiskLab Toronto
University of Toronto
Toronto, Canada

These are publications listed in RePEc written by alumni of the above institution who are registered with the RePEc Author Service and listed in the RePEc Genealogy. List of alumni. For a list of publications by current members of the department, see here. Register yourself.

This page is updated in the first days of each month.

| Working papers | Journal articles | Chapters |

Working papers

2023

  1. Marcos Escobar-Anel & Michel Kschonnek & Rudi Zagst, 2023. "Portfolio Optimization with Allocation Constraints and Stochastic Factor Market Dynamics," Papers 2303.09835, arXiv.org.
  2. Marcos Escobar-Anel & Michel Kschonnek & Rudi Zagst, 2023. "Mind the Cap! -- Constrained Portfolio Optimisation in Heston's Stochastic Volatility Model," Papers 2306.11158, arXiv.org.
  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. Marcos Escobar-Anel & Yevhen Havrylenko & Rudi Zagst, 2023. "Optimal fees in hedge funds with first-loss compensation," Papers 2310.19023, arXiv.org.

2022

  1. Marcos Escobar-Anel & Matt Davison & Yichen Zhu, 2022. "Derivatives-based portfolio decisions. An expected utility insight," Papers 2201.03717, arXiv.org.
  2. Matt Davison & Marcos Escobar-Anel & Yichen Zhu, 2022. "Optimal market completion through financial derivatives with applications to volatility risk," Papers 2202.08148, arXiv.org.
  3. Marcos Escobar-Anel & Yevhen Havrylenko & Rudi Zagst, 2022. "Value-at-Risk constrained portfolios in incomplete markets: a dynamic programming approach to Heston's model," Papers 2208.14152, arXiv.org, revised Oct 2023.

2021

  1. Marcos Escobar-Anel & Maximilian Gollart & Rudi Zagst, 2021. "Closed-form portfolio optimization under GARCH models," Papers 2109.00433, arXiv.org.
  2. 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.

2014

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

Journal articles

2024

  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. 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.
  3. 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.

2023

  1. 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).
  2. Cheng, Yuyang & Escobar-Anel, Marcos, 2023. "A class of portfolio optimization solvable problems," Finance Research Letters, Elsevier, vol. 52(C).
  3. 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.
  4. Marcos Escobar-Anel & Weili Fan, 2023. "The SEV-SV Model—Applications in Portfolio Optimization," Risks, MDPI, vol. 11(2), pages 1-34, January.
  5. 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.
  6. 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.
  7. Marcos Escobar-Anel & Lorenz Theilacker & Rudi Zagst, 2023. "Correction: 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 543-543, December.
  8. 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.
  9. 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.

2022

  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. Escobar-Anel, Marcos, 2022. "Multivariate risk aversion utility, application to ESG investments," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
  3. 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.
  4. Escobar-Anel, Marcos & Gollart, Maximilian & Zagst, Rudi, 2022. "Closed-form portfolio optimization under GARCH models," Operations Research Perspectives, Elsevier, vol. 9(C).
  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.
  6. 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.
  7. Marcos Escobar-Anel, 2022. "A dynamic programming approach to path-dependent constrained portfolios," Annals of Operations Research, Springer, vol. 315(1), pages 141-157, August.
  8. 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.
  9. Marcos Escobar-Anel & Sebastian Ferrando & Christoph Gschnaidtner & Alexey Rubtsov, 2022. "International portfolio choice under multi-factor stochastic volatility," Quantitative Finance, Taylor & Francis Journals, vol. 22(6), pages 1193-1216, June.
  10. Marcos Escobar-Anel & Markus Wahl & Rudi Zagst, 2022. "Portfolio optimization with wealth-dependent risk constraints," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2022(3), pages 244-268, March.

2021

  1. 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.
  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. Marcos Escobar-Anel & Zhenxian Gong, 2021. "Mean-Reverting 4/2 Principal Components Model. Financial Applications," Risks, MDPI, vol. 9(8), pages 1-23, July.
  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. 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.
  6. 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.
  7. 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.

2020

  1. 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.
  2. Escobar, Marcos & Fang, Lin, 2020. "Stochastic volatility models for the implied correlation index," Finance Research Letters, Elsevier, vol. 35(C).
  3. 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).
  4. Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2020. "Affine multivariate GARCH models," Journal of Banking & Finance, Elsevier, vol. 118(C).
  5. 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.
  6. 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.
  7. Marcos Escobar-Anel & Andreas Lichtenstern & Rudi Zagst, 2020. "Behavioral Portfolio Choice Under Hyperbolic Absolute Risk Aversion," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 23(07), pages 1-33, November.

2019

  1. Yuyang Cheng & Marcos Escobar-Anel & Zhenxian Gong, 2019. "Generalized Mean-Reverting 4/2 Factor Model," JRFM, MDPI, vol. 12(4), pages 1-21, October.
  2. 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.
  3. 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.

2018

  1. 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.
  2. 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.
  3. 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.
  4. 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.

2017

  1. 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.
  2. 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.
  3. 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.

2016

  1. 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.
  2. 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.
  3. 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.
  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. 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.

2015

  1. 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.
  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 & 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.
  4. 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.

2014

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

2013

  1. 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.
  2. 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.

2012

  1. Marcos Escobar & Luis Seco, 2012. "Residual Model for Future Prices," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 1(2), pages 110-119, October.

2011

  1. 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.
  2. 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.
  3. M. Escobar & T. Friederich & M. Krayzler & L. Seco & R. Zagst, 2011. "An intensity‐based approach for equity modeling," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 27(6), pages 676-690, November.
  4. 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.

2010

  1. 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.

2009

  1. 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.
  2. 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.

Chapters

2010

  1. Barbara Götz & Rudi Zagst & Marcos Escobar, 2010. "Pricing Certificates Under Issuer Risk," World Scientific Book Chapters, in: Rüdiger Kiesel & Matthias Scherer & Rudi Zagst (ed.), Alternative Investments And Strategies, chapter 6, pages 123-146, World Scientific Publishing Co. Pte. Ltd..

2008

  1. M. Escobar & L. Seco, 2008. "The Mathematics of Risk Transfer," Springer Books, in: David L. Olson & Desheng Wu (ed.), New Frontiers in Enterprise Risk Management, chapter 7, pages 95-112, Springer.

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