Abstract
We consider the problem of maximizing the expected amount of time an exponential martingale spends above a constant threshold up to a finite time horizon. We assume that at any time the volatility of the martingale can be chosen to take any value between \(\sigma _1\) and \(\sigma _2\), where \(0 < \sigma _1 < \sigma _2\). The optimal control consists in choosing the minimal volatility \(\sigma _1\) when the process is above the threshold, and the maximal volatility if it is below. We give a rigorous proof using classical verification and provide integral formulas for the maximal expected occupation time above the threshold.
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Acknowledgments
S.A. thanks the Ecole Centrale de Lyon for the kind invitation in May 2015, and the University of Jena for granting a sabbatical leave in the summer 2015. M.J. thanks Jena University for the fruitful invitation in March 2015. The research of M.J. is supported by the Chaire Marchés en Mutation (Fédération Bancaire Française). C.B. thanks Jena University for the invitation in July 2015. We are grateful to Ingo Althöfer for drawing our attention to the topic of diffusion control. Moreover, we thank seminar participants at METU Ankara and the University of Duisburg-Essen for helpful comments.
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Appendix
Appendix
We give here the proof that the function \({\hat{g}}\) defined by (18) is causal. We remark that the proof uses standard arguments that can be found e.g. in [2].
Lemma 6.1
For \(t<0\), \({\hat{g}}(t)=0\).
Proof
Let \(t<0\). Observe that the function \(z\mapsto e^{zt}F(z)\) is holomorphic on D. Let \(C_R\) be the line \([-Ri, Ri]\) added by the right-hand side semicircle \(\Gamma _R\) from Ri to \(-Ri\). Then
To prove that \({\hat{g}}\) is causal, it is enough to prove that \(\lim _{R \rightarrow \infty } \int _{\Gamma _R} e^{zt}F(z)dz=0.\) On \(\Gamma _R\), one has \(|e^{zt}|=e^{tR \cos \theta }\). Moreover, for all \(\epsilon >0\), there exists R large enough such that \(|F(z)|<\epsilon \), for \(z \in \Gamma _R\). Then
As \(t<0\) and \(\sin (\theta ) \ge 2\theta /\pi \), for \(\theta \in [0, \pi /2]\), we obtain
and hence the result.
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Ankirchner, S., Blanchet-Scalliet, C. & Jeanblanc, M. Controlling the Occupation Time of an Exponential Martingale. Appl Math Optim 76, 415–428 (2017). https://doi.org/10.1007/s00245-016-9356-2
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DOI: https://doi.org/10.1007/s00245-016-9356-2