scholarly journals Risk-Averse PDE-Constrained Optimization Using the Conditional Value-At-Risk

2016 ◽  
Vol 26 (1) ◽  
pp. 365-396 ◽  
Author(s):  
D. P. Kouri ◽  
T. M. Surowiec
2018 ◽  
Vol 43 (2) ◽  
pp. 554-579 ◽  
Author(s):  
Daniel R. Jiang ◽  
Warren B. Powell

In this paper, we consider a finite-horizon Markov decision process (MDP) for which the objective at each stage is to minimize a quantile-based risk measure (QBRM) of the sequence of future costs; we call the overall objective a dynamic quantile-based risk measure (DQBRM). In particular, we consider optimizing dynamic risk measures where the one-step risk measures are QBRMs, a class of risk measures that includes the popular value at risk (VaR) and the conditional value at risk (CVaR). Although there is considerable theoretical development of risk-averse MDPs in the literature, the computational challenges have not been explored as thoroughly. We propose data-driven and simulation-based approximate dynamic programming (ADP) algorithms to solve the risk-averse sequential decision problem. We address the issue of inefficient sampling for risk applications in simulated settings and present a procedure, based on importance sampling, to direct samples toward the “risky region” as the ADP algorithm progresses. Finally, we show numerical results of our algorithms in the context of an application involving risk-averse bidding for energy storage. The online appendix is available at https://doi.org/10.1287/moor.2017.0872 .


2019 ◽  
Vol 478 ◽  
pp. 595-605 ◽  
Author(s):  
Ujjwal Murarka ◽  
Vishakha Sinha ◽  
Lakshman S. Thakur ◽  
Manoj Kumar Tiwari

Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 787
Author(s):  
Han Zhao ◽  
Hui Wang ◽  
Wei Liu ◽  
Shiji Song ◽  
Yu Liao

This paper investigates a supply chain consisting of a single risk-neutral supplier and a single risk-averse retailer with the call option contract and a service requirement, where the retailer’s objective is to maximize the Conditional Value-at-Risk about profit. The optimal ordering quantity of the retailer and the optimal production quantity of the supplier are derived with the call option contract in the presence of a service requirement. Furthermore, by investigating the effect of the service level and the risk aversion on the supply chain, it is found that the retailer’s optimal Conditional Value-at-Risk is non-increasing in the service requirement and increasing in the risk aversion, while the supplier’s optimal expected profit is non-decreasing in the service and decreasing in the risk aversion. In addition, this paper demonstrates the impact of contract parameters on the service-constrained supply chain, and finds that the retailer’s optimal Conditional Value-at-Risk may be increasing, constant or decreasing in unit exercise price. Finally, with the call option contract, a distribution-free coordination condition is derived to achieve the Pareto improvement under Conditional Value-at-Risk criterion in the presence of a service requirement.


2014 ◽  
Vol 16 (6) ◽  
pp. 3-29 ◽  
Author(s):  
Samuel Drapeau ◽  
Michael Kupper ◽  
Antonis Papapantoleon

Sign in / Sign up

Export Citation Format

Share Document