State pricing, effectively complete markets, and corporate finance
针对公司金融中事件被预期导致传统方法失效的问题，提出利用期权作为无模型信息源来识别事件概率和影响，并在简单例子中量化事件影响。
Event study, panel regression, and difference-in-difference techniques are among the most prominent research methodologies in corporate finance. However, these techniques are inappropriate if corporate events are anticipated to some degree, as most events are. This paper proposes options as an additional model-free source of information to identify the likelihood and impact of corporate events. We show how to quantify event impact in a simple example and assert that few restrictions on the state space are required for the approach to work in more complex settings.