Due to the deployment of distributed renewable energy sources (e.g., solar), the introduction of communication technologies, and the digitalization of the power system (e.g., smart meters, control devices), energy consumers are switching from passive to active in the management of their energy...

Deep hedging is a deep-learning-based framework for derivative hedging in incomplete markets. The advantage of deep hedging lies in its ability to handle various realistic market conditions, such as market frictions, which are challenging to address within the traditional mathematical finance...

We consider two possible approaches to the problem of incorporating explicit general (i.e. economic) inflation in the non-life claims reserve estimates and in corresponding reserve SCR, defined - as in Solvency II - under the oneyear view. The actuarial approach provides a simplified solution to...

This paper explores the predictive ability of volatility in the crude oil market. A comparison in the CBOE crude oil volatility index (OVX), GARCH and Stochastic Volatility Models are employed to investigate the forecasting performance. The daily price dataset, spanning from 2010 to 2022,...

The literature has pointed out that many decision makers could exhibit some degree of risk lovingness. Yet, it still lacks a suitable performance index which is consistent with the preferences of all of them, i.e., the preferred project has a higher score. To fulfill this need, our paper...