We develop a new approach to modeling the volatility of stock prices that overcomes well-known problems with using realized volatility as a proxy for integrated volatility. Using high-frequency data for SPY, an exchange-traded fund that tracks the S&P 500, we estimate the parameters of a...

Assuming insurable events are generated by a marked point process, this article develops a framework in which insurance markets are dynamically complete in the sense of Kreps (1982). Insurance contracts can then be priced using the techniques of intertemporal finance: the equlibrium price of an...

This paper develops a discrete-time general equilibrium model of insurance using standard techniques of intertemporal finance. The underlying source of uncertainty is modeled as a marked point process. The paper begins by characterizing Walrasian equilibrium on the event tree generated by the...

The existing literature estimates stock-price volatility accumulated over the trading day. We focus on what happens to volatility within the trading day. Using transactions data from 2001 through 2009, we estimate the path of the quadratic variation process in 5-minute increments day by day for...