Dynamic Oligopolistic Games Under Uncertainty : A Stochastic Programming Approach *

@inproceedings{Genca2005DynamicOG,
  title={Dynamic Oligopolistic Games Under Uncertainty : A Stochastic Programming Approach *},
  author={Talat Genca and Stanley S. Reynoldsb and Suvrajeet Senc September},
  year={2005}
}
  • Talat Genca, Stanley S. Reynoldsb, Suvrajeet Senc September
  • Published 2005
This paper studies several stochastic programming formulations of dynamic oligopolistic games under uncertainty. We argue that one of the models, namely Games with Probabilistic Scenarios (GPS), provides an appropriate formulation. For such games, we show that symmetric players earn greater expected profits as demand volatility increases. This result suggests that even in an increasingly volatile market, players may have an incentive to participate in the market. The key to our approach is the… CONTINUE READING