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...

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...

Here we present an application of two maxentropic procedures to determine the probability density distribution of compound sums of random variables, using only a finite number of empirically determined fractional moments. The two methods are the Standard method of Maximum Entropy (SME), and the...

We analyze the role that corporation plays and could play in anticorruption programs, with the World Bank Governance and Anticorruption (2006-07) report as a base. Using the BPI and CPI and “Doing-Business” databases, its triple strategy —investment climate, ethical practice and...

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...

This paper aims to contribute to an improved theoretical and empirical understanding of the role that corporation has to play in anticorruption efforts. Research findings/insights: Using cross-country data from three databases (Bribe Payers Index, Corruption Perceptions Index, and Doing...

One of the main problems in the advanced measurement approach to determine operational risk regulatory capital, consists of the computation of the distribution of losses when the data is made up of aggregated losses caused by different types of risk events in different business lines. A similar...

The problem of determining probability densities from data is important in many fields, in particular in insurance and risk analysis. The method of maximum entropy has proven to be a powerful tool to determine probability densities from a few values of its Laplace transform. This is so, even...