You're probably familiar, at least in passing, with the 'convexity' of long-term bonds - i.e. that yields dropping 1% produce a bigger price move than yields rising 1%. A significant amount of brainpower has gone into understanding all the ramifications of this convexity in the fixed income...

I study a hybrid over-the-counter (OTC) market structure in which traders have the choice of obtaining an asset from dealers either in a bilateral market or on an electronic trading platform. In a hybrid market (HM), turnover is higher and traders are better off than in a pure bilateral market...

Why do investors react to old information? We provide survey evidence to experimentally document that active finance professionals are more susceptible to old information when it comes as a recombination of content from multiple sources. To evaluate the market implications of this mechanism, we...

Traders differ in speed and their speed differences matter. I model strategic interactions induced when high frequency traders (HFTs) have different speeds in an extended Kyle (1985) framework. HFTs are assumed to anticipate incoming orders and trade rapidly to exploit normal-speed traders'...

Economic activities such as crowdfunding often involve sequential interactions, observational learning, and project implementation contingent on achieving certain thresholds of support. We incorporate endogenous all-or-nothing thresholds in a classic model of information cascade. We find that...

We use learning in an equilibrium model to explain the puzzling predictive power of the volatility risk premium (VRP) for option returns. In the model, a representative agent follows a rational Bayesian learning process in an economy under incomplete information with the objective of pricing...

In understanding how leveraged ETFs perform, we'll uncover an important lesson relevant to all investing: how your choice of investment size can be more important than your choice of investment. To summarize, highly leveraged long and short ETFs provide a perfect illustration of how...

This paper measures valuation and strategic uncertainty in an over-the-counter market. The analysis uses a novel data set of price estimates that major financial institutions provide to a consensus pricing service. We model these institutions as Bayesian agents that learn from consensus prices...

We outline a framework in which accounting “valuation anchors" could be connected to expected stock returns. Under two general conditions, expected log returns is a log- linear function of a valuation (market value-to-accounting) multiple and the expected growth in the valuation anchor. We...