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Ratcheting with a bliss level of consumption

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Abstract

In this paper we study the portfolio selection problem of an agent who has a bliss point of consumption and does not tolerate a decline in consumption. We show that the optimal consumption process exhibits ratcheting and, as time elapses, the agent’s consumption approaches but never reaches the bliss level and her/his optimal investment in the risky asset approaches zero if the initial wealth level is not sufficient to maintain it. We use the martingale method and study the dual problem, which is similar to an incremental irreversible investment problem. We transform the dual problem into an optimal stopping problem, which has the same characteristic as finding the optimal exercise time of a perpetual American put option. We recover the value function by establishing a duality relationship and obtain a closed-form solution for the optimal consumption and portfolio strategy.

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Notes

  1. Empirical estimates of the bliss levels are troublesome, but there is no definite evidence against their existence [12].

  2. Classical study of the permanent income hypothesis often employed a quadratic utility function [7]. The utility function underlying the mean-variance analysis of portfolio selection (e.g., Markowitz [13]), which is still the most important and widely used model for asset management, is a quadratic function.

  3. See also Dybvig and Rogers [6] and Jeon et al. [9] for application of the method to other problems.

  4. Then for \(T>0\), we can define a new measure \(\mathbb {Q}\), the risk-neutral measure, on \((\varOmega , \mathcal{F}_T)\) by

    $$\begin{aligned} \mathbb {Q}(A) = {\mathbb {E}} [Z_T \mathbf {1}_A], \ \ \ A\in \mathcal{F}_T, \end{aligned}$$

    where \(\mathbf {1}_A\) is the characteristic function of A, i.e., \(\mathbf {1}_A(\omega )=1\) if \(\omega \in A\) and \( \mathbf {1}_A(\omega )=0\) if \(\omega \notin A\).

  5. See Chapters 9 and 11 of Dixit and Pindyck [3] for a systematic exposition of the incremental irreversible investment problem and its solution.

  6. See also for Dybvig and Rogers [6] and Jeon et al. [9] for similar transformations.

  7. Note that the optimal stopping problem in Problem 4 has a discount rate \(\beta \) (also called a killing rate in the literature). Thus the VI for Q(z) in (24) includes \(-\beta Q(z)\) (see pp.127–131 and pp.375–378 in Peskir and Shiryaev [14]).

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Acknowledgements

Jeon gratefully acknowledges the support of the National Research Foundation of Korea (NRF) grant funded by the Korea government (Grant No. NRF-2017R1C1B1001811), the POSCO Science Fellowship of the POSCO TJ Park Foundation. Koo and Shin gratefully acknowledge the support of the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (Grant No. NRF-2016R1A2B4008240).

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Correspondence to Yong Hyun Shin.

Appendix A derivation of the variational inequality (24)

Appendix A derivation of the variational inequality (24)

We consider the optimal stopping problem

$$\begin{aligned} \begin{aligned} Q(y_t)=\max _{\tau \in \mathcal{S}_t}\mathbb {E}\left[ \left. e^{-\beta (\tau -t)}H(y_\tau )\right| \mathcal {F}_t \right] , \end{aligned}\end{aligned}$$
(36)

where \(\mathcal{S}_t\) is the set of \({\mathcal {F}}\)-stopping times \(\tau \ge t\) and

$$\begin{aligned} H(z)=\dfrac{1}{\beta }-\dfrac{z}{r}. \end{aligned}$$

It is clear that

$$\begin{aligned} Q(y_t)\ge H(y_t). \end{aligned}$$
(37)

From the optimal stopping problem (36), for any \(h>0\), the inclusion \(\mathcal{S}_t\supset \mathcal{S}_{t+h}\) gives

$$\begin{aligned} \begin{aligned} e^{-\beta t}Q(y_t)=&\max _{\tau \in \mathcal {S}_t}\mathbb {E}\left[ \left. e^{-\beta \tau }H(y_{\tau })\right| \mathcal {F}_t\right] \\ =&\max _{\tau \in \mathcal {S}_t}\mathbb {E}\left[ \left. \mathbb {E}\left[ \left. e^{-\beta \tau } H(y_{\tau })\right| \mathcal {F}_{t+h}\right] \right| \mathcal {F}_t\right] \\ \ge&\mathbb {E}\left[ \left. \max _{\tau \in \mathcal {S}_{t+h}}\mathbb {E}\left[ \left. e^{-\beta \tau }H(y_\tau )\right| \mathcal {F}_{{t}+h}\right] \right| \mathcal {F}_t\right] \\ =&\mathbb {E}\left[ \left. e^{-\beta (t+h)}{Q}(y_{t+h})\right| \mathcal {F}_t\right] , \end{aligned} \end{aligned}$$
(38)

and the inequality (38) implies that \(e^{-\beta t}Q(y_t)\) is a supermartingale under \(\mathbb {P}\).

It follows that, by Itô’s Lemma

$$\begin{aligned} \dfrac{1}{2}\theta ^2y_t^2Q''(y_t) + (\beta -r)y_t Q'(y_t) - \beta Q(y_t) \le 0. \end{aligned}$$
(39)

When \(Q(y_t) >H(y_t)\) which implies there exists \(h>0\) small enough such that the optimal stopping time \(\tau ^* \in \mathcal {S}_{t+h}\). Thus,

$$\begin{aligned} \begin{aligned} e^{-\beta t}Q(y_t)=&\,\max _{\tau \in \mathcal {S}_t}\mathbb {E}\left[ \left. e^{-\beta \tau }H(y_\tau )\right| \mathcal {F}_t\right] \\ =&\,\mathbb {E}\left[ \left. e^{-\beta \tau ^*}H(y_{\tau ^*}) \right| \mathcal {F}_t\right] \\ =&\,\mathbb {E}\left[ \left. {\max _{\tau \in \mathcal {S}_{t+h}}}\mathbb {E}\left[ \left. e^{-\beta \tau }H(y_\tau )\right| \mathcal {F}_{t+h}\right] \right| \mathcal {F}_t\right] \\ =&\,\mathbb {E}\left[ \left. e^{-\beta (t+h)}Q(y_{t+h})\right| \mathcal {F}_t\right] . \end{aligned} \end{aligned}$$
(40)

Hence, we can deduce that \(e^{-\beta (\tau ^*\wedge t)}Q(y_{\tau ^*\wedge t})\) is a martingale under \(\mathbb {P}\).

By applying Itô’s Lemma, we have

$$\begin{aligned} \dfrac{1}{2}\theta ^2y_t^2Q''(y_t) + (\beta -r)y_t Q'(y_t) - \beta Q(y_t) =0. \end{aligned}$$
(41)

Hence, (37), (39) and (41) imply that Q(z) satisfies

$$\begin{aligned} \begin{aligned} {\left\{ \begin{array}{ll} &{}Q(z)\ge H(z),\\ &{}\dfrac{1}{2}\theta ^2z^2Q''(z) + (\beta -r)z Q'(z) - \beta Q(z)\le 0,\\ &{}\left[ \dfrac{1}{2}\theta ^2z^2Q''(z) + (\beta -r)z Q'(z) - \beta Q(z)\right] \cdot [Q(z)-H(z)]=0. \end{array}\right. } \end{aligned} \end{aligned}$$
(42)

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Jeon, J., Koo, H.K. & Shin, Y.H. Ratcheting with a bliss level of consumption. Optim Lett 13, 1535–1556 (2019). https://doi.org/10.1007/s11590-018-1313-3

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