In the recent work of Dempster, Evstigneev and Taksar (2006) it has been shown that the von Neumann-Gale model of economic dynamics can serve as a convenient and natural framework for the analysis of questions of asset pricing and hedging under transaction costs. The present article focuses on a...

Inspired by recent advances in the deep learning literature, this article introduces a novel hybrid anomaly detection framework specifically designed for limit order book (LOB) data. A modified Transformer autoencoder architecture is proposed to learn rich temporal LOB subsequence...

Power Purchase Agreements (PPA) play a significant role in deploying renewable energy, a crucial development to meet climate change challenges. Participants set the PPA price through opaque negotiation processes. We present novel, replicable, and transparent financial models to compute the PPA...