This note explores machine learning based modelling approach over classical quantitative methods with a focus on modelling realized volatility of asset price over time. Initially, a few modelling assumptions of classical quantitative finance are examined using recent market data. Daily stock...

This paper argues that there are inherent trade-offs in energy policy objectives that pose frictions to the establishment of a new technology base. We ask how institutions in an evolving electricity system can be designed to best achieve policy targets that are partly conflicting. In particular,...