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...

The Markov-switching GARCH model allows for a GARCH structure with time-varying parameters. This flexibility is unfortunately undermined by a path dependence problem which complicates the parameter estimation process. This problem led to the development of computationally intensive estimation...

Is Latin America moving toward a new generation of pro-poor land reforms? What are the real openings and constraints with regard to such policies at the local, national, and international levels? What role is research playing, and what role might it play, in tracking efforts and revealing policy...

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...