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Merton’s portfolio problem including market frictions: A closed-form formula supporting the shadow price approach

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  • Mariani, Francesca
  • Recchioni, Maria Cristina
  • Ciommi, Mariateresa

Abstract

This paper formulates a portfolio optimization in a friction market as a suitable stochastic control problem with hyperbolic absolute risk aversion utility functions under a specific functional form of the amount of wealth invested in the risky asset inspired by the Merton optimal dynamics. The state variable is the amount of wealth invested in the risky asset, while the control variable is the share rate. This formulation has two advantages. First, it provides a portfolio where the optimality is obtained by minimizing the probability of large changes in the portfolio composition with consequently low frictions, while allowing for an explicit solution to the optimal control problem. Second, with this formulation, it can be proven that this optimal solution is the optimal solution of the frictionless Merton problem for corrected price dynamics. The corrected dynamics shows that the market friction increases the risk premium by an additional term that is an elementary function of the risk associated with the market frictions, as well the price of the risk, which also depends on the risk aversion of the investor. In addition, the corrected dynamics supports the existence of a shadow price in friction markets as already shown in Kallsen and Muhle-Karbe (2010). Finally, an empirical analysis to assess the model performance is illustrated on five-minute data of four major traded stocks, three market indexes, and four exchange rates including the Bitcoin/USD rate.

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  • Mariani, Francesca & Recchioni, Maria Cristina & Ciommi, Mariateresa, 2019. "Merton’s portfolio problem including market frictions: A closed-form formula supporting the shadow price approach," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1178-1189.
  • Handle: RePEc:eee:ejores:v:275:y:2019:i:3:p:1178-1189
    DOI: 10.1016/j.ejor.2018.12.022
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    1. Burton Hollifield & Robert A. Miller & Patrik Sandås, 2004. "Empirical Analysis of Limit Order Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(4), pages 1027-1063.
    2. Umut Çetin & H. Soner & Nizar Touzi, 2010. "Option hedging for small investors under liquidity costs," Finance and Stochastics, Springer, vol. 14(3), pages 317-341, September.
    3. Marín-Solano, Jesús & Navas, Jorge, 2010. "Consumption and portfolio rules for time-inconsistent investors," European Journal of Operational Research, Elsevier, vol. 201(3), pages 860-872, March.
    4. Longstaff, Francis A, 2001. "Optimal Portfolio Choice and the Valuation of Illiquid Securities," The Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 407-431.
    5. Merton, Robert C., 1971. "Optimum consumption and portfolio rules in a continuous-time model," Journal of Economic Theory, Elsevier, vol. 3(4), pages 373-413, December.
    6. Chen, An & Vellekoop, Michel, 2017. "Optimal investment and consumption when allowing terminal debt," European Journal of Operational Research, Elsevier, vol. 258(1), pages 385-397.
    7. J. Kallsen & J. Muhle-Karbe, 2010. "On using shadow prices in portfolio optimization with transaction costs," Papers 1010.4989, arXiv.org.
    8. Goll, Thomas & Kallsen, Jan, 2000. "Optimal portfolios for logarithmic utility," Stochastic Processes and their Applications, Elsevier, vol. 89(1), pages 31-48, September.
    9. Soner, H. Mete & Cetin, Umut & Touzi, Nizar, 2010. "Option hedging for small investors under liquidity costs," LSE Research Online Documents on Economics 28992, London School of Economics and Political Science, LSE Library.
    10. Sethi, Suresh P. & Taksar, Michael, 1988. "A note on Merton's "Optimum Consumption and Portfolio Rules in a continuous-Time Model"," Journal of Economic Theory, Elsevier, vol. 46(2), pages 395-401, December.
    11. Nicolae Gârleanu & Lasse Heje Pedersen, 2013. "Dynamic Trading with Predictable Returns and Transaction Costs," Journal of Finance, American Finance Association, vol. 68(6), pages 2309-2340, December.
    12. Buckley, Winston & Long, Hongwei & Perera, Sandun, 2014. "A jump model for fads in asset prices under asymmetric information," European Journal of Operational Research, Elsevier, vol. 236(1), pages 200-208.
    13. Ismael Lemhadri, 2018. "Market Impact in a Latent Order Book," Papers 1802.06101, arXiv.org, revised Sep 2020.
    14. Pierre‐André Chiappori & Monica Paiella, 2011. "Relative Risk Aversion Is Constant: Evidence From Panel Data," Journal of the European Economic Association, European Economic Association, vol. 9(6), pages 1021-1052, December.
    15. Ismael Lemhadri, 2018. "Market impact in a latent order book," Working Papers hal-01711192, HAL.
    16. Ioannis Karatzas & John P. Lehoczky & Suresh P. Sethi & Steven E. Shreve, 1986. "Explicit Solution of a General Consumption/Investment Problem," Mathematics of Operations Research, INFORMS, vol. 11(2), pages 261-294, May.
    17. Umut Çetin & Robert A. Jarrow & Philip Protter, 2008. "Liquidity risk and arbitrage pricing theory," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 8, pages 153-183, World Scientific Publishing Co. Pte. Ltd..
    18. M. H. A. Davis & A. R. Norman, 1990. "Portfolio Selection with Transaction Costs," Mathematics of Operations Research, INFORMS, vol. 15(4), pages 676-713, November.
    19. Christoph Czichowsky & Walter Schachermayer & Junjian Yang, 2014. "Shadow prices for continuous processes," Papers 1408.6065, arXiv.org, revised May 2015.
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    2. Francesca Mariani & Maria Cristina Recchioni & Tai-Ho Wang & Roberto Giacalone, 2024. "Can market volumes reveal traders' rationality and a new risk premium?," Papers 2406.05854, arXiv.org.
    3. Feghhi Kashani , Mohammad & Mohebimajd , Ahmadreza, 2021. "Outperformance Testing of a Dynamic Assets Portfolio Selection Supplemented with a Continuous Paths Levy Process," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(2), pages 253-282, June.
    4. Nikolay Khabarov & Alexey Smirnov & Michael Obersteiner, 2022. "Shadow prices and optimal cost in economic applications," Papers 2211.03591, arXiv.org, revised Nov 2022.

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