The ad hoc Black-Scholes (AHBS) model is one of the most widely used option valuation models among practitioners models. The main contribution of this study is methodological. We have two main results: (1) we make the empirical observation that typically the call and put sneers are discontinuous...

Sudden big price changes are followed by periods of high and persistent volatility. I develop a tractable dynamic rational expectations model consistent with this observation. An infinity of agents possess dispersed information about future dividends and trade in centralized markets. Information...

We find that weekend, holiday and overnight trading breaks generate excessive perceived risk in the option markets, presumably due to asymmetric information, which, in turn, encourages uninformed option traders to postpone trading. This perceived risk subsides after two days accompanied by an...

The idea that information frictions amplify business cycles is hard to evaluate because information is not easily measured. We propose a quantifiable information friction that amplifies output fluctuations. In our simple model of decentralized trade, income dispersion measures uncertainty about...

Do public policy signals improve the alignment of market outcomes with economic fundamentals? Existing work contends that, when individual players have an incentive to coordinate their actions, public policy signals could steer these actions away from the fundamentals. We argue that such a...

The model of Foster-Viswanathan (1990, FV) predicts that information heterogeneity among market participants generates patterns in volume, trading costs and volatility. In the Italian Treasury bond market, periodic information asymmetry is related to the arrival of block orders from...

The model of Foster-Viswanathan (1990, FV) predicts that information heterogeneity among market participants generates patterns in volume, trading costs and volatility. In the Italian Treasury bond market, periodic information asymmetry is related to the arrival of block orders from...