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...

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 Expected Discounted Penalty Function (EDPF) was introduced in a series of now classical papers ([9], [11] and [12]). Motivated by applications in option pricing and risk management, and inspired by recent developments in fluctuation theory for Lévy processes, we study an extended definition...

The field of risk theory has traditionally focused on ruin-related quantities. In particular, the socalled Expected Discounted Penalty Function has been the object of a thorough study over the years. Although interesting in their own right, ruin related quantities do not seem to capture...

This paper analyzes deforestation in areas of overlapping land tenure in the northern Ecuadorian Amazon. We use a random coefficients model to test for differences in forest cover across tenure forms over time. Tenure categories are significantly associated with changes in deforestation, even...