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An Optimal Extraction Problem with Price Impact

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Abstract

A price-maker company extracts an exhaustible commodity from a reservoir, and sells it in the spot market. In absence of any actions of the company, the commodity’s spot price evolves as an Ornstein–Uhlenbeck process. While extracting, the company’s actions have an impact on the commodity’s spot price. The company aims at maximizing the total expected profits from selling the commodity, net of the total expected proportional costs of extraction. We model this problem as a two-dimensional degenerate singular stochastic control problem with finite fuel. The optimal extraction rule is triggered by a strictly decreasing smooth curve that depends on the current level of the reservoir, and for which we provide an explicit expression. Finally, our study is complemented by a theoretical and numerical analysis of the dependency of the optimal extraction strategy and value function on the model’s parameters.

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  1. See, e.g., the article on the Financial Post [16], or the news on the website of the U.S. Energy Information Administration [31].

References

  1. Almansour, A., Insley, M.: The impact of stochastic extraction cost on the value of an exhaustible resource: an application to the Alberta Oil sands. Energy J. (2016). https://doi.org/10.2139/ssrn.2287596

  2. Alvarez, L.H.R.: Singular Stochastic control in the presence of a state-dependent yield structure. Stoch. Process. Appl. 86, 323–343 (2000)

    Article  MathSciNet  Google Scholar 

  3. Bateman, H.: Higher Transcendental Functions, vol. II. McGraw-Hill Book Company, New York (1981)

    Google Scholar 

  4. Becherer, D., Bilarev, T., Frentrup, P.: Optimal liquidation under stochastic liquidity. Financ. Stoch. 22(1), 39–68 (2018)

    Article  MathSciNet  Google Scholar 

  5. Becherer, D., Bilarev, T., Frentrup, P.: Stability for large investors strategies in M1/J1 topologies. Bernoulli 25(2), 1105–1140 (2019)

    Article  MathSciNet  Google Scholar 

  6. Benchekroun, H., Withagen, C.: The optimal depletion of exhaustable resources: a complete characterization. Resour. Energy Econ. 33, 612–636 (2011)

    Article  Google Scholar 

  7. Borodin, W.H., Salminen, P.: Handbook of Brownian Motion-Facts and Formulae, 2nd edn. Birkhäuser, Basel (2002)

    Book  Google Scholar 

  8. Brekke, K.A., Øksendal, B.: Optimal switching in an economic activity under uncertainty. SIAM J. Control Optim. 32(4), 1021–1036 (1994)

    Article  MathSciNet  Google Scholar 

  9. Bridge, D.S., Shreve, S.E.: Multi-dimensional finite-fuel singular stochastic control. Lecture Notes Control Inform. Sci. 177, 38–58 (1992)

    Article  Google Scholar 

  10. De Angelis, T., Ferrari, G.: Stochastic nonzero-sum games: a new connection between singular control and optimal stopping. Adv. Appl. Probab. 50(2), 347–372 (2018)

    Article  MathSciNet  Google Scholar 

  11. Dupuis, P., Ishii, H.: SDEs with oblique reflection on nonsmooth domains. Ann. Probab. 21(1), 554–580 (1993)

    Article  MathSciNet  Google Scholar 

  12. El Karoui, N., Karatzas, I.: Probabilistic aspects of finite-fuel, reflected follower problems. Acta Appl. Math. 11, 223–258 (1988)

    Article  MathSciNet  Google Scholar 

  13. El Karoui, N., Karatzas, I.: A new approach to the Skorohod problem and its applications. Stoch. Stoch. Rep. 34, 57–82 (1991)

    Article  MathSciNet  Google Scholar 

  14. Feliz, R.A.: The optimal extraction rate of a natural resource under uncertainty. Econ. Lett. 43, 231–234 (1993)

    Article  Google Scholar 

  15. Ferrari, G., Yang, S.: On an optimal extraction problem with regime switching. Adv. Appl. Probab. 50(3), 671–705 (2018)

    Article  MathSciNet  Google Scholar 

  16. Financial Post, October 12, 2017, http://business.financialpost.com/commodities/canadian-natural-gas-prices-enter-negative-territory-amid-pipeline-outages

  17. Guo, X., Zervos, M.: Optimal execution with multiplicative price impact. Siam J. Financ. Math. 6(1), 281–306 (2015)

    Article  MathSciNet  Google Scholar 

  18. Hotelling, H.: The economics of exhaustible resources. J. Political Econ. 39(2), 137–175 (1931)

    Article  Google Scholar 

  19. Jack, A., Jonhnson, T.C., Zervos, M.: A singular control problem with application to the goodwill problem. Stoch. Process. Appl. 118, 2098–2124 (2008)

    Article  Google Scholar 

  20. Jeanblanc, M., Yor, M., Chesney, M.: Mathematical Methods for Financial Markets. Springer, London (2006)

    MATH  Google Scholar 

  21. Karatzas, I., Shreve, S.E.: Connections between optimal stopping and singular stochastic control I. Monotone follower problems. SIAM J. Control Optim. 22, 856–877 (1984)

    Article  MathSciNet  Google Scholar 

  22. Karatzas, I.: Probabilistic aspects of finite-fuel stochastic control. Proc. Natl. Acad. Sci. USA 82, 5579–5581 (1985)

    Article  MathSciNet  Google Scholar 

  23. Karatzas, I., Shreve, S.E.: Equivalent models for finite-fuel stochastic control. Stochastics 18(3–4), 245–276 (1986)

    Article  MathSciNet  Google Scholar 

  24. Karatzas, I., Shreve, S.E.: Brownian Motion and Stochastic Calculus, 2nd edn. Springer, New York (1991)

    MATH  Google Scholar 

  25. Karatzas, I., Ocone, D., Wang, H., Zervos, M.: Finite-fuel singular control with discretionary stopping. Stochastics 71(1–2), 1–50 (2000)

    MathSciNet  MATH  Google Scholar 

  26. Lutz, B.: Pricing of Derivatives on Mean-Reverting Assets. Springer, Berlin (2010)

    Book  Google Scholar 

  27. Pemy, M.: Explicit solutions for optimal resource extraction problems under regime switching Lévy models. (2018) Preprint, arXiv:1806.06105v1

  28. Pindyck, R.S.: The optimal exploration and production of nonrenewable resources. J. Political Econ. 86(5), 841–861 (1978)

    Article  Google Scholar 

  29. Pindyck, R.S.: Uncertainty and exhaustible resource markets. J. Political Econ. 88(6), 1203–1225 (1980)

    Article  Google Scholar 

  30. Protter, P.E.: Stochastic Integration and Differential Equations. Springer, Berlin (1990)

    Book  Google Scholar 

  31. U.S. Energy Information Administration, May 10, 2018, https://www.eia.gov/naturalgas/weekly/archivenew_ngwu/2018/05_10/

  32. Zhu, H.: Generalized solution in singular stochastic control: the nondegenerate problem. Appl. Math. Optim. 25, 225–245 (1992)

    Article  MathSciNet  Google Scholar 

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Acknowledgements

Financial support by the German Research Foundation (DFG) through the Collaborative Research Centre 1283 “Taming uncertainty and profiting from randomness and low regularity in analysis, stochastics and their applications” is gratefully acknowledged by the authors. We thank Stefan Ankirchner, Dirk Becherer, Todor Bilarev, Ralf Korn, Frank Riedel, Wolfgang J. Runggaldier, and Thorsten Upmann for valuable discussions and comments. In particular, we are thankful to Peter Frentrup for pointing out a mistake in a previous version of this manuscript.

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Appendices

Appendix A: Proofs of Results from Sects. 4 and 5

Proof of Lemma 4.1

  1. (1)

    We refer the reader to [20], among others. Moreover, the strict convexity of \(\psi \) can be checked by direct calculations on (4.10).

  2. (2)

    Define the function \(f:{\mathbb {R}}_+\times {\mathbb {R}}\rightarrow {\mathbb {R}}_+\) by

    $$\begin{aligned} f(t,x)=\frac{1}{\Gamma \big (\frac{\rho }{b}\big )} t^{\big (\frac{\rho }{b}-1\big )}e^{-\frac{t^2}{2}+t\big (\frac{bx-a}{\sigma b}\big )\sqrt{2b}}, \end{aligned}$$

    that, once differentiated with respect to x, yields

    $$\begin{aligned} f_x(t,x)=\frac{\rho \sqrt{2b}}{b\sigma }\frac{1}{\Gamma \big (\frac{\rho +b}{b}\big )} t^{\big (\frac{\rho +b}{b}-1\big )}e^{-\frac{t^2}{2}+t\big (\frac{bx-a}{\sigma b}\big )\sqrt{2b}}. \end{aligned}$$

    Notice that f is the integrand appearing in (4.11) for \(\beta =-\frac{\rho }{b}\). Then, differentiating (4.10) with respect to x, and invoking the dominated convergence theorem, we obtain

    $$\begin{aligned} \psi '(x)\, \propto \, e^{\frac{(bx-a)^2}{2\sigma ^2b}}D_{-\frac{\rho +b}{b}}\bigg (-\frac{bx-a}{\sigma b}\sqrt{2b}\bigg ), \end{aligned}$$

    upon noticing that \(f_x(t,x)\) is the integrand of \(D_{-\frac{\rho +b}{b}}\bigg (-\frac{bx-a}{\sigma b}\sqrt{2b}\bigg )\) (cf. (4.11)).

    Hence, \(\psi '\) can be identified (modulo a constant) as the positive strictly increasing fundamental solution to \(({{\mathcal {L}}}-(\rho +b))u=0\), and by direct calculations it can be checked that it is strictly convex. By iterating the previous argument, we see that, for any \(k\in {\mathbb {N}}\), the function \(\psi ^{(k)}\) is strictly convex and identifies with the positive strictly increasing fundamental solution to \(({{\mathcal {L}}}-(\rho +kb))u=0\).

  3. (3)

    We define the function \(f^{(k)}:{\mathbb {R}}_+\times {\mathbb {R}}\rightarrow {\mathbb {R}}_+\) by

    $$\begin{aligned} f^{(k)}(t,x)=\frac{\big (\sqrt{{2b}}/{\sigma }\big )^\frac{k}{2}}{\Gamma (\frac{\rho }{b})^{\frac{1}{2}}}t^{\frac{1}{2}\big (\frac{\rho }{b}+k-1\big )}e^{-\frac{t^2}{4}+\frac{t}{2}\big (\frac{bx-a}{\sigma b}\big )\sqrt{2b}}. \end{aligned}$$

    By direct calculations, we find

    $$\begin{aligned} \psi ^{(k+1)}(x)=\int _{0}^{\infty }f^{(k+2)}(t,x)f^{(k)}(t,x)dt,\quad x\in {\mathbb {R}}, \end{aligned}$$

    that, by the help of Hölder’s inequality (which is strict as \(f^{(k)}(\cdot ,x)\) is not a multiple of \(f^{(k+2)}(\cdot ,x)\)), gives

    $$\begin{aligned} \Bigg (\int _{0}^{\infty }f^{(k+2)}(t,x)f^{(k)}(t,x)dt\Bigg )^2<\int _{0}^{\infty }\big (f^{(k+2)}(t,x)\big )^2 dt\int _{0}^{\infty }\big (f^{(k)}(t,x)\big )^2dt. \end{aligned}$$

    The latter is in fact equivalent to

    $$\begin{aligned} \psi ^{(k+2)}(x)\psi ^{(k)}(x)-\psi ^{(k+1)}(x)^2>0. \end{aligned}$$

\(\square \)

Proof of Lemma 4.2

Let \(k\in {\mathbb {N}} \cup \{0\}\) be given and fixed, and define \(\Lambda (x):=(x-c){\psi ^{(k+1)}(x)}-\psi ^{(k)}(x)\), \(x\in {\mathbb {R}}\). We then have the following.

  1. (i)

    For \(x\le c\), it is readily seen that \(\Lambda (x)<0\).

  2. (ii)

    One has \(\Lambda (x)>0\) for all \(x>c+\frac{\psi ^{(k)}(c)}{\psi ^{(k+1)}(c)}\). To see this, rewrite \(\Lambda (x)=\psi ^{(k)}(x)\bigg [(x-c)\frac{\psi ^{(k+1)}(x)}{\psi ^{(k)}(x)}-1\bigg ]\), and notice that by Lemma 4.1

    $$\begin{aligned} \left( \frac{\psi ^{(k+1)}(x)}{\psi ^{(k)}(x)}\right) '=\frac{\psi ^{(k+2)}(x) \psi ^{(k)}(x)-(\psi ^{(k+1)}(x))^2}{\big (\psi ^{(k)}(x)\big )^2}>0. \end{aligned}$$

    Hence, for all \(x>c+\frac{\psi ^{(k)}(c)}{\psi ^{(k+1)}(c)}>c\) one has that \(\frac{\psi ^{(k+1)}(x)}{\psi ^{(k)}(x)}>\frac{\psi ^{(k+1)}(c)}{\psi ^{(k)}(c)}\), which implies

    $$\begin{aligned} (x-c)\frac{\psi ^{(k+1)}(x)}{\psi ^{(k)}(x)}-1>(x-c)\frac{\psi ^{(k+1)}(c)}{\psi ^{(k)}(c)}-1>0, \end{aligned}$$

    for all \(x>c+\frac{\psi ^{(k)}(c)}{\psi ^{(k+1)}(c)}\). The latter clearly gives \(\Lambda (x)>0\) for all \(x>c+\frac{\psi ^{(k)}(c)}{\psi ^{(k+1)}(c)}\).

Since \(\Lambda '(x)=(x-c)\psi ^{(k+2)}(x)>0\) for all \(x>c\), we conclude from (i) and (ii) that there exists a unique solution on \((c,\infty )\) to the equation \(\Lambda (x)=0\) by continuity of \(\Lambda \). \(\square \)

Proof of Lemma 4.3

We argue by contradiction, and we suppose \(x_{\infty }\ge x_0\). Then by definition of \(x_0\) and \(x_\infty \) we have

$$\begin{aligned} x_0-x_\infty =(x_0-c)-(x_\infty -c)=\frac{\psi (x_0)}{\psi ^\prime (x_0)} -\frac{\psi ^\prime (x_\infty )}{\psi ^{\prime \prime }(x_\infty )}. \end{aligned}$$
(A-1)

Since by Lemma 4.1

$$\begin{aligned} \Big (\frac{\psi (x)}{\psi ^\prime (x)}\Big )^\prime =\frac{\psi ^\prime (x)^2 -\psi (x)\psi ^{\prime \prime }(x)}{\psi ^\prime (x)^2}<0,\quad \text {for any }x\in {\mathbb {R}}, \end{aligned}$$

we have by (A-1) that

$$\begin{aligned} x_0-x_\infty \ge \frac{\psi (x_\infty )}{\psi ^\prime (x_\infty )} -\frac{\psi ^\prime (x_\infty )}{\psi ^{\prime \prime }(x_\infty )}>0, \end{aligned}$$

again due to Lemma 4.1. But this contradicts \(x_{\infty }\ge x_0\). \(\square \)

Proof of Lemma 4.7

First of all notice that for the existence of a solution z to (4.20) it is necessary that \(y-z\ge 0\) since \(F\ge 0\), and that \(x-\alpha z\in (x_\infty ,x_0]\) since the domain of F is \((x_\infty ,x_0]\). Hence, if a solution to (4.20) exists, it must be such that \(z(x,y) \in (\frac{x-x_0}{\alpha },\frac{x-x_\infty }{\alpha } \wedge y]\), for all \((x,y)\in {\mathbb {S}}_2\).

Let \((x,y)\in {\mathbb {S}}_2\) with \(y>F(x)\) be given and fixed, and define \(R(z)=y-z-F(x-\alpha z)\), for \(z\in (\frac{x-x_0}{\alpha },\frac{x-x_\infty }{\alpha } \wedge y)\). Then, one has \(R(0)=y-F(x)>0\) and \(\lim \nolimits _{z\uparrow \left( \frac{x-x_\infty }{\alpha } \wedge y\right) }R(z)<0\). Since \(z\mapsto R(z)\) is strictly decreasing (by strict monotonicity of F) it follows that there exists a unique solution to (4.20).

Finally, (4.21) follows by noticing that 0 solves (4.20) when \(y=F(x)\) and by uniqueness of the solution. Analogously, (4.22) follows by noticing that \(\frac{x-x_0}{\alpha }\) uniquely solves (4.20), since \(F(x_0)=0\). \(\square \)

Proof of Lemma 5.2

The first equality in (5.4) follows from (5.2). In order to prove the last inequality in (5.4), we find by Lemma 4.1-(2) that

$$\begin{aligned} \frac{\sigma ^2}{2}\psi ^{(k+2)}(x;a,\sigma )+(a-bx)\psi ^{(k+1)}(x;a,\sigma ) -(\rho +kb)\psi ^{(k)}(x;a,\sigma )=0. \end{aligned}$$
(A-2)

From (A-2), recalling that \(\psi ^{(k+1)}>0\), we obtain

$$\begin{aligned} (a-bx)=-\frac{\sigma ^2\psi ^{(k+2)}(x;a,\sigma )}{2\psi ^{(k+1)}(x;a,\sigma )} +(\rho +kb)\frac{\psi ^{(k)}(x;a,\sigma )}{\psi ^{(k+1)}(x;a,\sigma )}. \end{aligned}$$

and we thus have

$$\begin{aligned}&(a-bx)\Big [\psi ^{(k+1)}(x;a,\sigma )^2-\psi ^{(k)}(x;a,\sigma ) \psi ^{(k+2)}(x;a,\sigma )\Big ]+b\psi ^{(k+1)}(x;a,\sigma )\psi ^{(k)}(x;a,\sigma )\\ =\,&(\rho +(k+1)b)\psi ^{(k)}(x;a,\sigma )\psi ^{(k+1)}(x;a,\sigma ) -(\rho +kb)\psi ^{(k)}(x;a,\sigma )^2\frac{\psi ^{(k+2)}(x;a,\sigma )}{\psi ^{(k+1)} (x;a,\sigma )}\\&\quad + \underbrace{\frac{\sigma ^2\psi ^{(k+2)}(x;a,\sigma )}{2\psi ^{(k+1)}(x;a,\sigma )}\Big [\psi ^{(k)}(x;a,\sigma )\psi ^{(k+2)}(x,a,\sigma ) -\psi ^{(k+1)}(x;a,\sigma )^2\Big ]}_{>0\,\text { by Lemma}~4.1}\\ >&\frac{\psi ^{(k)}(x;a,\sigma )}{\psi ^{(k+1)}(x;a,\sigma )}\Big [(\rho +(k+1)b) \psi ^{(k+1)}(x;a,\sigma )^2-(\rho +kb)\psi ^{(k)}(x,a,\sigma )\psi ^{(k+2)}(x;a,\sigma ) \Big ]. \end{aligned}$$

We now aim at establishing that the last term on the right-hand side of the latter equation is positive. With regard to (5.4), this would clearly imply that \(\frac{\partial (\psi ^{(k)}(x;a,\sigma )/\psi ^{(k+1)}(x;a,\sigma ))}{\partial \sigma }>0\). From (A-2) we have

$$\begin{aligned} (\rho +(k+1)b)\psi ^{(k+1)}(x;a,\sigma )=\frac{\sigma ^2}{2}\psi ^{(k+3)}(x;a,\sigma ) +(a-bx)\psi ^{(k+2)}(x;a,\sigma ), \end{aligned}$$

which then yields

$$\begin{aligned}&\frac{\psi ^{(k)}(x;a,\sigma )}{\psi ^{(k+1)}(x;a,\sigma )} \Big [(\rho +(k+1)b)\psi ^{(k+1)}(x;a,\sigma )^2-(\rho +kb) \psi ^{(k)}(x;a,\sigma )\psi ^{(k+2)}(x;a,\sigma )\Big ]\\ =&\frac{\psi ^{(k)}(x;\sigma )}{\psi ^{(k+1)}(x;a,\sigma )} \Big [\frac{\sigma ^2}{2}\psi ^{(k+3)}(x;a,\sigma )\psi ^{(k+1)}(x;a,\sigma )\\&+\psi ^{(k+2)}(x;a,\sigma )\big ((a-bx)\psi ^{(k+1)}(x;a,\sigma ) -(\rho +kb)\psi ^{(k)}(x;a,\sigma )\big )\Big ]\\ =&\frac{\sigma ^2}{2}\frac{\psi ^{(k)}(x;\sigma )}{\psi ^{(k+1)} (x;a,\sigma )}\Big [\psi ^{(k+3)}(x;a,\sigma )\psi ^{(k+1)}(x;a,\sigma ) -\psi ^{(k+2)}(x;a,\sigma )^2\Big ] > 0, \end{aligned}$$

where the last equality follows again by an application of (A-2), and the last inequality by Lemma 4.1. Hence \(\frac{\partial (\psi ^{(k)}(x;a,\sigma )/\psi ^{(k+1)}(x;a,\sigma ))}{\partial \sigma }>0\) and the proof is completed. \(\square \)

Appendix B: An Auxiliary Result

Lemma B.1

Let \(x_0\) be the solution to (4.13) and

$$\begin{aligned} {\bar{x}}:=\frac{a + \rho c}{\rho + b}. \end{aligned}$$
(B-1)

We have

$$\begin{aligned} {\bar{x}} < x_0. \end{aligned}$$

Proof

Define \(H(x):=(x-c)\psi ^\prime (x)-\psi (x),\) \(x\in {\mathbb {R}}\). Since \(\psi \) satisfies

$$\begin{aligned} \frac{\sigma ^2}{2}\psi ''(x)+(a-bx)\psi '(x)-\rho \psi (x)=0,\quad \hbox { for all}\ x\in {\mathbb {R}}, \end{aligned}$$

and \(\frac{\sigma ^2}{2}\psi ''(x)>0\), we find \(-\psi (x)<-\frac{(a-bx)}{\rho }\psi ^\prime (x),\,\forall x\in {\mathbb {R}}.\) Thus, we have

$$\begin{aligned} H({\bar{x}})<({\bar{x}}-c)\psi '({\bar{x}})-\frac{(a-b{\bar{x}})}{\rho } \psi '({\bar{x}})=\Big [({\bar{x}}-c)\rho -(a-b{\bar{x}})\Big ] \frac{\psi ^\prime ({\bar{x}})}{\rho }=0, \end{aligned}$$

by the definition of \({\bar{x}}\). Since \(H(x_0)=0\), \(H(x)<0\) for all \(x<x_0\) and \(H(x)>0\) for all \(x>x_0\), it must necessarily be \({\bar{x}}< x_0\). \(\square \)

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Ferrari, G., Koch, T. An Optimal Extraction Problem with Price Impact. Appl Math Optim 83, 1951–1990 (2021). https://doi.org/10.1007/s00245-019-09615-9

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