The pyvol project is framework for testing volatility forecasting ideas in financial (or other) time series.
Pyvol provides an easy way for researchers to share and compare volatility estimation approaches. A researcher can subclass the CovEstimator class in pyvolest.est.CovEst and use pyvol to evaluate performance and compare to other estimators.
The pyvol project is also designed to serve as the framework for a number of contests and class projects. Teachers or contest sponsors can create a custom pyvol distribution focused on the types of models and ideas they are interested in, have contestants create estimators, submit them, and evaluate performance in an automated way.
For details and software, see http://code.google.com/p/pyvol.
TODO: Figure out how to actually get changelog content.
Changelog content for this version goes here.