Unlike the narrative in Walrasian economic theory, the real world is not one of perfect foresight. This paper replaces this axiom with fundamental uncertainty, as established in original Keynesian theory. Drawing on contributions from Shackle, Okun, Alchian and Davidson, this paper explores how...

The theoretical literature on the economics of fiscal federalism has identified several potential effects of government decentralization on economic growth. Much of the traditional literature focuses on the efficiency aspects of a decentralized provision of public services. However,...

The theoretical literature on the economics of fiscal federalism has identified several potential effects of government decentralization on economic growth. Much of the traditional literature focuses on the efficiency aspects of a decentralized provision of public services. However,...

In this paper, we estimate coefficients of bankruptcy forecasting models, such as logistic and neural network models, by maximizing their discriminatory power as measured by the Area Under Receiver Operating Characteristics (AUROC) curve. A method is introduced and compared with traditional...

The present paper develops Adaptive Trees, a new machine learning approach specifically designed for economic forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions and discontinuities) and unknown structural changes (the...

We present a data-driven proof of concept model capable of reproducing expected counterparty credit exposures from market and trade data. The model has its greatest advantages in quick single-contract exposure evaluations that could be used in front office xVA solutions. The data was generated...

Inter-organizational relations (IORs), complex constructs existing on the verge of companies' boundaries, are a popular area of managerial and academic investigation, due to their ability to create sustainable competitive advantage. The aim of the article is to show applicability, insights and...

We present an actuarial loss reserving technique that takes into account both claim counts and claim amounts. Separate (over-dispersed) Poisson models for the claim counts and the claim amounts are combined by a joint embedding into a neural network architecture. As starting point of the neural...

This paper will outline the functionality available in the CovRegpy package for actuarial practitioners, wealth managers, fund managers, and portfolio analysts written in Python 3.7. The major contributions of CovRegpy can be found in the CovRegpy_DCC.py, CovRegpy_IFF.py, CovRegpy_RCR.py,...

Differentiating between `good' and `bad' spillovers we disentangle sources of potential crisis from the intricately complex web of connections across international equity markets. In particular, we analyze the behaviour of 30 global equity markets and compute multiple spillover measures, which...