Development of composite indicators for integrated health in populations typically relies on a
priori assumptions rather than model-free, data-driven evidence. Traditional variable …

Open business organizations, where information flows, is shared, and exchanged, are more
prepared to adapt and survive chaos, uncertainty, and entropy, so they will be more …

This paper reports the dynamical analysis of the business cycles of 12 (developed and
developing) countries over the last 56 years by applying computational techniques used for …

The evolution of the convergence among the European countries, including both Eurozone
as well as non-Eurozone economies, is investigated in this paper. To do so, we construct …

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 …

In this paper we examine synchronization in European business cycles from 1950 to 2013.
Herein we further investigate previous and controversial results that arise from complex …

Maximum entropy estimation is of broad interest for inferring properties of systems across
many disciplines. Using a recently introduced technique for estimating the maximum entropy …

We investigate the pairwise causality of inflation rates across time and frequencies, inflation
cycle synchronization and network structure of causality between five ASEAN countries …

This paper is an exercise of quantitative dynamic analysis applied to bilateral relationships
among partners within two monetary union case studies: the Portuguese escudo zone …

This paper uses wavelet coherencies and a wavelet dissimilarity index to study the
similarities and synchronization of government bond yield movements in the G7. Using …