Mean field and n-player games in Ito-diffusion markets under forward performance criteria

Thaleia Zariphopoulou

Probability, Uncertainty and Quantitative Risk ›› 2024, Vol. 9 ›› Issue (2) : 123 -148.

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Probability, Uncertainty and Quantitative Risk ›› 2024, Vol. 9 ›› Issue (2) : 123 -148. DOI: 10.3934/puqr.2024008
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Mean field and n-player games in Ito-diffusion markets under forward performance criteria

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Abstract

We study n-player games of portfolio choice in general common Ito-diffusion markets under relative performance criteria and time monotone forward utilities. We, also, consider their continuum limit which gives rise to a forward mean field game with unbounded controls in both the drift and volatility terms. Furthermore, we allow for general (time monotone) preferences, thus departing from the homothetic case, the only case so far analyzed. We produce explicit solutions for the optimal policies, the optimal wealth processes and the game values, and also provide representative examples for both the finite and the mean field game.

Keywords

Mean field game / n-player game / Ito-diffusion / Forward performance criteria

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Thaleia Zariphopoulou. Mean field and n-player games in Ito-diffusion markets under forward performance criteria. Probability, Uncertainty and Quantitative Risk, 2024, 9(2): 123-148 DOI:10.3934/puqr.2024008

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Acknowledgements

This work was presented at seminars and workshops at Columbia, Oxford University, University of Michigan, Ann Arbor, the 9th International Colloquium on BSDE and Mean Field systems, Annecy and at the Institute for Mathematical Innovation and Statistics (IMSI), University of Chicago. The author would like to thank the participants for fruitful comments and suggestions. She would also like to thank IMSI for its hospitality during the Spring 2022 and Spring 2023 long programs, during which most of this work was completed.

References

[1]

Anthropelos, M., Forward exponential performances: Pricing and optimal risk sharing, SIAM Journal on Financial Mathematics, 2014, 5(1): 626-655.

[2]

Anthropelos, M., Geng, T. and Zariphopoulou, T., Competition in fund management and forward relative performance criteria, SIAM Journal on Financial Mathematics, 2022, 13(4): 1271-1301.

[3]

Basak, S. and Makarov, D., Strategic asset allocation in money management, Journal of Finance, 2014, 69(1): 179-217.

[4]

Bo, L., Wang, S. and Zhou, C., A mean field game approach to optimal investment and risk control for competitive insurers, Insurance: Mathematics and Economics, 2024, 116: 202-2017.

[5]

Dos Reis, G. and Platonov, V., Forward utilities and mean field games under relative performance concerns, In: BernardinC., GolseF., GonçalvesP., RicciV. and SoaresA. J.(eds.), From Particle Systems to Partial Differential Equations. Proceedings, ICPS, Springer Proceedings in Mathematics & Statistics, Springer, Cham, 2021, 352: 227-251.

[6]

Dos Reis, G. and Platonov, V., Forward utilities and market adjustments in relative investment-consumption games of many players, SIAM Journal in Financial Mathematics, 2022, 13(3): 844-876.

[7]

El Karoui, N., Hillairet, C. and Mrad, M., Consistent utility of investment and consumption: A forward-backward SPDE viewpoint, Stochastics, 2018, 90(6): 927-954.

[8]

El Karoui, N. and Mrad, M., An exact connection between two solvable SDEs and a nonlinear utility stochastic PDE, SIAM Journal on Financial Mathematics, 2013, 4(1): 697-736.

[9]

Espinosa, G.-E. and Touzi, N., Optimal investment under relative performance concerns, Mathematical Finance, 2015, 25(2): 221-257.

[10]

Fu, G., Mean field portfolio games with consumption, Mathematics and Financial Economics, 2023, 17: 79-99.

[11]

Geng, T., Essays on forward portfolio theory and financial time series modeling, Ph.D. Thesis, The University of Texas at Austin, 2017.

[12]

Guo, X., Xu, R. and Zariphopoulou, T., Entropy regularization for mean field games with learning, Mathematics of Operations Research, 2022, 47(4): 3239-3260.

[13]

Hu, R. and Zariphopoulou, T., N-player and mean-field games in Ito-diffusion markets with competitive and homophilous interaction, In: YinG. and ZariphopoulouT.(eds.), Stochastic Analysis, Filtering, and Stochastic Optimization, Springer-Verlag, Cham, 2022: 209-237.

[14]

Kallblad, S., Black’s inverse investment problem and forward criteria with consumption, SIAM Journal on Financial Mathematics, 2020, 11(2): 494-525.

[15]

Kallblad, S., Obloj, J. and Zariphopoulou, T., Dynamically consistent investment under model uncertainty: The robust forward case, Finance and Stochastics, 2018, 22: 879-918.

[16]

Kempf, A. and Ruenzi, S., Tournaments in mutual fund families, Review of Financial Studies, 2008, 21(2): 1013-1036.

[17]

Kempf, A., Ruenzi, S. and Thiele, T., Employment risk, compensation incentives and managerial risk taking: Evidence from the mutual fund industry, Journal of Financial Economics, 2009, 92(1): 92-108.

[18]

Lacker, D. and Soret, A., Many-player games of optimal consumption and investment under relative performance concerns, Mathematics and Financial Economics, 2020, 14: 263-281.

[19]

Lacker, D. and Zariphopoulou, T., Mean field and n-player games for optimal investment under relative performance criteria, Mathematical Finance, 2019, 29(4): 1003-1038.

[20]

Liang, G., Strub, M. and Wang, Y., Predictable forward performance preferences: Infrequent evaluation and applications to human-machine interactions, Mathematical Finance, 2023, 33(4): 1248-1286.

[21]

Liang, G., Strub, M. and Wang, Y., Predictable forward performance processes: Multi-agent and mean field games for portfolio management, arXiv: 2310.09830, 2023.

[22]

Liang, G. and Zariphopoulou, T., Representation of homothetic forward performance processes in stochastic factor models via ergodic and infinite horizon BSDE, SIAM Journal on Financial Mathematics, 2017, 8(1): 344-372.

[23]

Mostoviy, O., Sirbu, M. and Zariphopoulou, T., On the analyticity of the value function of optimal investment and stochastically dominant markets, Pure and Applied Functional Analysis, 2024, 9(3): 825-862.

[24]

Musiela, M., Preface for “recent advances in forward performance processes”, Probability, Uncertainty and Quantitative Risk, 2024, 9(1): 1-12.

[25]

Musiela, M. and Zariphopoulou, T., Investments and forward utilities, Technical report, 2006.

[26]

Musiela, M. and Zariphopoulou, T., Derivative pricing, investment management and the term structure of exponential utilities:The case of binomial model, In: CarmonaR.(ed.), Indifference Pricing, Princeton University Press, Princeton, 2009: 3-41.

[27]

Musiela, M. and Zariphopoulou, T., Portfolio choice under dynamic investment performance criteria, Quantitative Finance, 2009, 9(2): 161-170.

[28]

Musiela, M. and Zariphopoulou, T., Stochastic partial differential equations and portfolio choice, In: ChiarellaC. and NovikovA.(eds.), Contemporary Quantitative Finance, Springer, Berlin, 2010: 195-215.

[29]

Musiela, M. and Zariphopoulou, T., Portfolio choice under space-time monotone performance criteria, SIAM Journal on Financial Mathematics, 2010, 1: 326-365.

[30]

Nadtochiy, S. and Tehranchi, M., Optimal investment for all time horizons and Martin boundary of space-time diffusions, Mathematical Finance, 2015, 27(2): 438-470.

[31]

Nadtochiy, S. and Zariphopoulou, T., A class of homothetic forward investment performance process with non-zero volatility, In: KabanovY., RutkowskiM. and ZariphopoulouT.(eds.), Inspired by Finance: The Musiela Festschrift, Springer, Cham, 2014: 475-505.

[32]

Souganidis, P. and Zariphopoulou, T., Mean field games with unbounded controlled common noise in portfolio management with relative performance criteria, Mathematics and Financial Economics, to appear, 2024.

[33]

Strub, M. and Zhou, X. Y., Evolution of the Arrow-Pratt measure of risk tolerance for predictable forward utility processes, Finance and Stochastics, 2021, 25: 331-358.

[34]

Tangpi, L. and Zhou, X., Optimal investment in large population of competitive and heterogeneous players, Finance and Stochastics, 2024, 28: 497-551.

[35]

Waldon, H., Forward robust portfolio selection: The binomial case, Probability, Uncertainty and Quantitative Risk, 2024, 9(1): 107-122.

[36]

Zariphopoulou, T. and Zhou, T., Investment performance measurement under asymptotically linear risk tolerance, In: BensoussanA. and ZhangQ.(eds.), Handbook of Numerical Analysis, Elsevier, 2009, 15: 227-253.

[37]

Zitkovic, G., A dual characterization of self-generation and exponential forward performances, The Annals of Applied Probability, 2009, 19(6): 2176-2210.

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