Forecasting with Option-Implied Information
Peter Christoffersen*,†, Kris Jacobs‡,** and Bo Young Chang††, *Rotman School of Management, University of Toronto, Canada, †Copenhagen Business School and CREATES, Denmark, ‡Bauer College of Business, University of Houston, USA, **Tilburg University, Netherlands, ††Financial Markets Department, Bank of Canada, Canada.
Abstract
This chapter surveys the methods available for extracting information from option prices that can be used in forecasting. We consider option-implied volatilities, skewness, kurtosis, and densities. More generally, we discuss how any forecasting object that is a twice differentiable function of the future realization of the underlying risky asset price can utilize ...
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