Abstract
These lectures are concerned with optimal control of Markov diffusion processes with complete state information, and with some applications in financial economics. Problems on a finite time horizon, and on an infinite horizon with discounted cost or ergodic (average cost per unit time) criterion are considered. We also consider risk sensitive stochastic control on an infinite horizon, with expected exponential-of-integral cost criteria. These problems are related, through a logarithmic transformation, to infinite horizon ergodic stochastic control and stochastic differential games. Risk sensitive control provides a link between stochastic and deterministic (robust control) approaches to disturbance attenuation. This is done by considering the robust control model as a small noise intensity limit of a corresponding risk sensitive model. In mathematical finance, we consider some models of optimal portfolio choice which are extensions of the classical Merton model. Problems of optimal long-term growth of expected utility of wealth are reformulated as infinite horizon risk sensitive control problems. Explicit solutions are given in absence of investment control constraints. In addition, a robust control approach to the Black-Scholes formula for pricing stock options is mentioned.
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References
A. Bensoussan, Perturbation Methods in Optimal Control, Wiley, New York, 1988.
A. Bensoussan and J. Frehse, On Bellman equations of ergodic control in IR n, J. Reine Angew. Math. 429 (1992), 125–160.
A. Bensoussan, J. Frehse and H. Nagai, Some results on risk-sensitive control with full observation, Appl. Math. Optim. 37 (1998), 1–42.
A. Bensoussan and J.-L. Lions, Applications des inéquations variationelles en contrôle stochastique, Dunod, Paris, 1978.
A. Bensoussan and H. Nagai, Min-max characterization of the small noise limit in risk-sensitive control, SIAM J. Control Optim. 35 (1997), 1093–1115.
BP] T. R. Bielecki and S. R. Pliska, Risk sensitive dynamic asset management, to appear in Appl. Math. Optim.
V. S. Borkar, Optimal Control of Diffusion Processes, Pitman Research Notes, No. 203, 1989, Longman Sci. and Tech. Harlow, UK.
M. J. Brennan, E. S. Schwartz and R. Lagnado, Strategic asset allocation, J. Econom. Dynam. Control 21 (1997), 1377–1403.
M. G. Crandall, H. Ishii and P.-L. Lions, A users guide to viscosity solutions, Bull. Amer. Math. Soc. (N.S.) 27 (1992), 1–67.
M. H. A. Davis and A. R. Norman, Portfolio selection with transaction costs, Math. Oper. Res. 15 (1990), 676–713.
D. Duffie, Dynamic Asset Pricing Theory, 2nd ed., Princeton University Press, 1996.
R. J. Elliott, Stochastic Calculus and Applications, Springer-Verlag, New York, 1982.
W. H. Fleming and M. R. James, The risk-sensitive index and the H2 and H∞ norms for nonlinear systems, Math. Control Signals Systems 8 (1995), 199–221.
W. H. Fleming and W. M. McEneaney, Risk sensitive control and differential games, Lecture Notes in Control and Inform. Sci. 184, Springer-Verlag, New York, 1992, 185–197.
W. H. Fleming and W. M. McEneaney, Risk sensitive control on an infinite time horizon, SIAM J. Control Optim. 33 (1995), 1881–1915.
W. H. Fleming and R. W. Rishel, Deterministic and Stochastic Optimal Control, Springer-Verlag, New York, 1975.
W. H. Fleming and S.-J. Sheu, Asymptotics for the principal eigenvalue and eigenfunction of a nearly first-order operator with large potential, Ann. Probab. 25 (1997), 1953–1994.
FlSh2] W. H. Fleming and S.-J. Sheu, Optimal long term growth rate of expected utility of wealth, to appear in Ann. Appl. Probab.
W. H. Fleming and H. M. Soner, Controlled Markov Processes and Viscosity Solutions, Springer-Verlag, New York, 1992.
W. H. Fleming and T. Zariphopoulou, An optimal investment/consumption model with borrowing, Math. Oper. Res. 16 (1991), 802–822.
M. I. Freidlin and A. D. Wentzell, Random Perturbations of Dynamical Systems, Springer-Verlag, New York, 1984.
E. Hopf, The partial differential equation u t+uut = μu xx, Coram. Pure Appl. Math. 3 (1950), 201–230.
D. H. Jacobson, Optimal stochastic linear systems with exponential criteria and their relation to deterministic differential games, IEEE Trans. Automat. Control 18 (1978), 114–131.
M. R. James, Asymptotic analysis of nonlinear risk-sensitive control and differential games, Math. Control Signals Systems 5 (1992), 401–417.
KN] H. Kaise and H. Nagai, Bellman-Isaacs equations of ergodic type related to risksensitive control and their singular limits, to appear in Asymptotic Anal.
I. Karatzas, Lectures on the Mathematics of Finance, CRM Monogr. Ser. 8, Amer. Math. Soc., Providence, RI, 1996.
I. Karatzas and S. E. Shreve, Brownian Motion and Stochastic Calculus, Springer-Verlag, New York, 1988.
R. Z. Khasminskii, Stochastic Stability of Differential Equations, Sigthoff and Noordhoff, 1980.
N. V. Krylov, Controlled Diffusion Processes, Springer-Veriag, New York, 1980.
N. V. Krylov, Nonlinear Elliptic and Parabolic Equations of the Second Order, Reidel, Dordrecht, 1987.
H. J. Kushner, Optimality conditions for the average cost per unit time problem with a diffusion model, SIAM J. Control Optim. 16 (1978), 330–346.
H. J. Kushner and P. G. Dupuis, Numerical Methods for Stochastic Control Problems in Continuous Time, Springer-Verlag, New York, 1992.
P.-L. Lions, Optimal control of diffusion processes and Hamilton-Jacobi-Bellman equations I, Comm. Partial Differential Equations 8 (1983), 1101–1134.
P.-L. Lions, Optimal control of diffusion processes and Hamilton-Jacobi-Bellman equations II: viscosity solutions and uniqueness, Comm. Partial Differential Equations 8 (1983). 1229–1276.
P.-L. Lions, Optimal control of diffusion processes and Hamilton-Jacobi-Bellman equations III: Regularity of the optimal cost function, in: Nonlinear PDE and Appl. College de France Seminar vol. V, Pitman, Boston, 1983.
W. M. McEneaney, A robust control framework for option pricing, Math. Oper. Res. 22 (1997), 202–220.
H. Nagal, Bellman equations of risk-sensitive control, SIAM J. Control Optim. 34 (1996), 74–101.
E. Nelson, Quantum Fluctuations, Princeton University Press, 1985.
M. Obstfeld and K. Rogoff, Foundations of International Macoreconomics, MIT Press, 1996.
E. Platen and R. Rebolledo, Principles for modelling financial markets, J. Appl. Probab. 33 (1996), 601–630.
S. R. Pliska, Introduction to Mathematical Finance: Discrete Time Models, Blackwell, Oxford, 1997.
M. Reid and B. Simon, Methods of Modern Mathematical Physics, Vol. 4, Academic Press, New York, 1978.
H. M. Soner, Controlled Markov processes, viscosity solutions and applications to finance, in: Viscosity Solutions and Applications (I. Capuzzo Dolcetta and P.-L. Lions, eds.), Lecture Notes in Math. 1660, Springer-Verlag, 1997, 134–185.
A. Yu. Veretennikov, On strong solutions and explicit formulas for solutions of stochastic integral equations, Math USSR-Sb. 39 (1981), 387–403.
P. Whittle, Risk-sensitive Optimal Control, Wiley, New York, 1990.
P. Whittle, Optimal Control: Basics and Beyond, Wiley-Interscience, New York, 1996.
P. Wilmott, J. Dewynne and S. Howison, The Mathematics of Financial Derivatives, Cambridge University Press, 1995.
W. M. Wonham, A Liapunov method for the estimation of statistical averages, J. Differential Equations 2 (1966), 365–377.
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Fleming, W.H. (1999). Controlled Markov processes and mathematical finance. In: Clarke, F.H., Stern, R.J., Sabidussi, G. (eds) Nonlinear Analysis, Differential Equations and Control. NATO Science Series, vol 528. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4560-2_7
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DOI: https://doi.org/10.1007/978-94-011-4560-2_7
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