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A Parametric Analysis for a Multi-product Risk-averse Newsvendor

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키워드

주제분류경영학

초록

We consider a multi-product risk-averse newsvendor with a parametric analysis approach. For this risk-averse decision maker with multiple products, we use a well-known risk measure, CVaR (Conditional Value-at-Risk), which has been recently used in inventory management as well as finance literature. We first study our comparative static analysis for the model parameters in a multi-item setting. Especially, under the identical product assumption with independent and symmetric product demands, we prove that the optimal ordering quantity monotonously increases when the risk tolerance factor increases. We also prove that the optimal ordering quantity asymptotically converges to the corresponding risk-neutral solution as the number of products goes to infinity. Finally, we conduct a Monte Carlo simulation to obtain numerical solutions. All our analytical results are confirmed in the numerical study.

Abstract

We consider a multi-product risk-averse newsvendor with a parametric analysis approach. For this risk-averse decision maker with multiple products, we use a well-known risk measure, CVaR (Conditional Value-at-Risk), which has been recently used in inventory management as well as finance literature. We first study our comparative static analysis for the model parameters in a multi-item setting. Especially, under the identical product assumption with independent and symmetric product demands, we prove that the optimal ordering quantity monotonously increases when the risk tolerance factor increases. We also prove that the optimal ordering quantity asymptotically converges to the corresponding risk-neutral solution as the number of products goes to infinity. Finally, we conduct a Monte Carlo simulation to obtain numerical solutions. All our analytical results are confirmed in the numerical study.

참고문헌 (14)

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  12. Rockafellar, T. R., "Conditional Value-at-risk for General Loss Distributions", Journal of Banking and Finance, 26, pp.1443~1471 (2002)
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  14. Shapiro, A., "Asymptotics of Minimax Stochastic Programs", Statistics and Probability Letters, 78, pp.150~157 (2008)

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