Oligopolistic Investment, Markups and Asset-Pricing Puzzles

Hitesh Doshi, Praveen Kumar
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Abstract

We analyze a multi-consumption good general equilibrium production-based asset pricing model with an oligopolistic sector that follows subgame perfect pricing, production, and capital investment strategies. The model is calibrated with U.S. aggregate and industry data from 456 manufacturing industries. The oligopoly model provides a better fit to product and asset markets' data compared to the benchmark competitive industry. In particular, under the "classical" assumptions of time-additive power utility and Markov shock structure, and assuming reasonable risk aversion, the model generates relatively high industry and aggregate equity premia and their volatilities, as well as Sharpe ratios. The model also fits well the volatility of industry investment and the cyclicality of price-cost markups. We find support for theoretical predictions on the link between industry competition and product and asset market outcomes.
寡头垄断投资、加价和资产定价难题
我们分析了一个具有寡头垄断部门的多消费良好一般均衡生产资产定价模型,该模型遵循子博弈完美定价、生产和资本投资策略。该模型是根据美国456个制造业的总体数据和行业数据进行校准的。与基准竞争行业相比,寡头垄断模型更适合产品和资产市场的数据。特别是,在时间加性电力效用和马尔可夫冲击结构的“经典”假设下,并假设合理的风险规避,该模型产生了较高的行业和总股权溢价及其波动率,以及夏普比率。该模型也很好地拟合了行业投资的波动性和价格-成本加成的周期性。我们发现了行业竞争与产品和资产市场结果之间联系的理论预测的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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