A Multi-Product Risk-Averse Newsvendor with Law Invariant Coherent Measures of Risk

We consider a multi-product newsvendor under the law-invariant coherent risk measures. We first establish a few fundamental properties of the model regarding the convexity of the problem, the symmetry of the solution and the impact of risk aversion. Specifically, we show that for identical products with independent demands, increased risk aversion leads to decreased orders. For a large but finite number of heterogenous products with independent demands, we derive closed-form approximations for the optimal order quantities. The approximations are as simple to compute as the classical risk-neutral solutions. We also show that the risk-neutral solution is asymptotically optimal as the number of products tends to infinity, and thus risk aversion has no impact in the limit. For a risk-averse two-product newsvendor with dependent demands, we show that positively (negatively) dependent demands lead to a lower (higher) optimal order quantities than independent demands. Using a numerical study, we examine the convergence rates of the approximations and develop additional insights on the interplay of dependent demands and risk aversion.


Author 1: Nanyang Technological University, Division of Systems and Engineering Management, 50 Nanyang Avenue, Singapore 639798; Author 2: Rutgers University, Department of Management Science and Information Systems, 94 Rockefeller Road, Piscataway, New Jersey 08854; Author 3: Rutgers University, Department of Supply Chain Management and Marketing Sciences, 1 Washington Street, Newark, New Jersey 07102;



View A Multi-Product Risk-Averse Newsvendor with Law Invariant Coherent Measures of Risk