Abstract
We study a problem of optimal investment/consumption over an infinite horizon in a market consisting of a liquid and an illiquid asset. The liquid asset is observed and can be traded continuously, while the illiquid one can only be traded and observed at discrete random times corresponding to the jumps of a Poisson process. The problem is a nonstandard mixed discrete/continuous optimal control problem, which we face by the dynamic programming approach. The main goal of the paper is the characterization of the value function as unique viscosity solution of an associated Hamilton–Jacobi–Bellman equation. We then use such a result to build a numerical algorithm, allowing one to approximate the value function and so to measure the cost of illiquidity.
We’re sorry, something doesn't seem to be working properly.
Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.
Notes
Also in [13] the market is composed by a liquid and an illiquid asset. However, there the problem is over a finite horizon and the illiquid asset cannot be traded: the wealth held in the illiquid asset enters just in the optimization functional at the terminal date.
Note that even though the HJB equation is nonlocal, the fact that \(\widehat{V}\) is a viscosity solution is standard. This is because the nonlocal term \(G[\mathcal{H}\widehat{V}]\) only enters as a running cost in the control problem (there are no jumps involved).
References
Matsumoto, K.: Optimal portfolio of low liquid assets with a log-utility function. Finance Stoch. 10, 121–145 (2006)
Pham, H., Tankov, P.: A model of optimal consumption under liquidity risk with random trading times. Math. Finance 18, 613–627 (2008)
Rogers, C., Zane, O.: A simple model of liquidity effects. In: Sandmann, K., Schoenbucher, P. (eds.) Advances in Finance and Stochastics: Essays in Honour of Dieter Sondermann, pp. 161–176 (2002)
Kabanov, Y., Safarian, M.: Markets with Transaction Costs: Mathematical Theory. Springer, Berlin (2009)
Jarrow, R.A.: Derivative security markets, market manipulation, and option pricing theory. J. Financ. Quant. Anal. 29, 241–261 (1994)
Frey, R.: Perfect option hedging for a large trader. Finance Stoch. 2, 115–141 (1998)
Frey, R., Stremme, A.: Market volatility and feedback effects from dynamic hedging. Math. Finance 7, 351–374 (1997)
Platen, E., Schweizer, M.: On feedback effects from hedging derivatives. Math. Finance 8, 67–84 (1998)
Jouini, E.: Price functionals with bid-ask spreads: an axiomatic approach. J. Math. Econ. 34, 547–558 (2000)
Cetin, U., Jarrow, A., Protter, P.: Liquidity risk and arbitrage pricing theory. Finance Stoch. 8, 311–341 (2004)
Cetin, U., Soner, H.M., Touzi, N.: Option hedging for small investors under liquidity costs. Finance Stoch. 14, 317–341 (2010)
Ang, A., Papanikolaou, D., Westerfield, M.: Portfolio choice with illiquid assets. Preprint (2011)
Schwartz, E., Tebaldi, C.: Illiquid assets and optimal portfolio choice. NBER Working Paper No. w12633 (2006)
Federico, S., Gassiat, P., Gozzi, F.: Impact of time illiquidity in a mixed market without full observation. Arxiv Preprint (2012)
Federico, S., Gassiat, P., Gozzi, F.: Utility maximization with current utility on the wealth: regularity of solutions to the HJB equation. Arxiv Preprint (2012)
Øksendal, B., Sulem, A.: Applied Stochastic Control of Jump Diffusions, 3rd edn. Springer, Berlin (2009)
Cretarola, A., Gozzi, F., Pham, H., Tankov, P.: Optimal consumption policies in illiquid markets. Finance Stoch. 15, 85–115 (2011)
Pham, H., Tankov, P.: A coupled system of integrodifferential equations arising in liquidity risk mode. Appl. Math. Optim. 59, 147–173 (2009)
Pham, H.: Stochastic control under progressive enlargment of filtrations and applications to multiple defaults risk management. Stoch. Process. Appl. 120, 1795–1820 (2010)
Yong, J., Zhou, X.Y.: Stochastic Controls: Hamiltonian Systems and HJB Equations. Springer, New York (1999)
Fleming, W.H., Soner, H.M.: Controlled Markov Processes and Viscosity Solutions. Springer, Berlin (2006)
Ishii, H., Loreti, P.: On stochastic optimal control problems with state constraint. Indiana Univ. Math. J. 51, 1167–1196 (2002)
Crandall, M., Ishii, H., Lions, P.L.: User’s guide to viscosity solutions of second order partial differential equations. Bull. Am. Math. Soc. 27, 1–67 (1992)
Gassiat, P.: Modélisation du risque de liquidité et méthodes de quantification appliquées au contrôle stochastique séquentiel. Phd thesis, of University Paris Diderot (2011). Available at http://tel.archives-ouvertes.fr/tel-00651357/fr/
Acknowledgements
The authors would like to thank two anonymous referees, who with their valuable comments have led to a significant improvement of the paper. Also they are grateful to Huyên Pham to have suggested to them the topic and to Fausto Gozzi for useful suggestions.
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by Lars Grüne.
Rights and permissions
About this article
Cite this article
Federico, S., Gassiat, P. Viscosity Characterization of the Value Function of an Investment-Consumption Problem in Presence of an Illiquid Asset. J Optim Theory Appl 160, 966–991 (2014). https://doi.org/10.1007/s10957-013-0372-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10957-013-0372-y