Scott Condie - Modeling Asset Markets when Knowledge is Ambiguous

The video discusses Knightian uncertainty and its implications in financial markets. It explores the concept of multiple priors representation, where investors have ambiguous information about future events. The discussion includes the comparison between market efficiency and informational inefficiency, highlighting how ambiguity can affect market outcomes. Theoretical and simulation approaches are used to model these phenomena. The speaker also shares insights into their academic journey and the importance of collaboration in research.

What is the main focus of Scott's project discussed in the text?

How does Scott approach the modeling of knightian uncertainty?

What is the significance of the 'worst case scenario' in modeling ambiguity?

What is meant by 'multiple priors' in the context of Scott's research?

What implications does ambiguity have on market prices according to the discussion?

How does Scott's research address the concept of informational inefficiency?

What are the traditional economic models that Scott's work is compared to?

How does Scott's background in economics influence his research interests?

What are the tools and methods Scott enjoys using in his research?

What role does collaboration play in Scott's research process?