In this paper we model the United Kingdom's Consumer Price Index as a complex network and we apply clustering and optimization techniques to study the network evolution through time. By doing this, we provide a dynamic, multi-level analysis of the mechanism that drives inflation in the U.K. We...

We test the validity of Purchasing Power Parity theory, examining the Real Exchange Rate of 23 OECD countries for mean-reversion. In doing so, we estimate the Hurst exponent which is a well-established estimator of long memory in time series analysis. The innovation of our approach is that we...

This survey provides an up-to-date summary of the literature that relates to the study of business cycle synchronization. Various paths have been followed through time in empirically testing business cycle co-movement and different data sets have been explored so that to date consensus still...

In this study, we examine the issue of business cycle synchronization from a historical perspective in 27 developed and developing countries. Based on a novel complex network approach, the Threshold-Minimum Dominating Set (T-MDS), our results reveal heterogeneous patterns of international...

This study performs a long-run, inter-temporal analysis of income inequality in the U.S. for the period 1916-2012. We use a) descriptive analysis to examine the evolution of inequality through time and b) complex network tools, more specifically an optimization technique called the...

Graph theory is an essential tool for the modeling of complex networks. It can be used for network control and monitoring. The latter is usually performed using a representative subset of the whole network identified with the Minimum Spanning Tree (MST) methodology. The MST, however, bears...

The 2006 sudden and immense downturn in U.S. House Prices sparked the 2007 global financial crisis and revived the interest about forecasting such imminent threats for economic stability. In this paper we propose a novel hybrid forecasting methodology that combines the Ensemble Empirical Mode...

A healthy and stable banking system resilient to financial crises is a prerequisite for sustainable growth. Minimization of a) the associated systemic risk and b) of the contagion effect in a banking crisis is a necessary condition to achieve this goal. The Central Bank is in charge of this...

In this paper, we approximate the empirical findings of Papadamou and Markopoulos (2012) on the NOK/USD exchange rate under a Machine Learning (ML) framework. By applying Support Vector Regression (SVR) on a general monetary exchange rate model and a Dynamic Evolving Neuro-Fuzzy Inference System...

In this paper, we present a novel machine learning based forecasting system of the EUR/USD exchange rate directional changes. Specifically, we feed an overcomplete variable set to a Support Vector Machines (SVM) model and refine it through a Sensitivity Analysis process. The dataset spans from...