The research work emphasizes the efficiency and suitability of a single European insurance market. Authors analyze insurance data from 23 countries in year 2003-2012. Using the dynamic analysis, authors experiment, whether the European insurance market is homogeneous.
COBISS.SI-ID: 13058076
Deep-learning initiatives have vastly changed the analysis of data. Complex networks became accessible to anyone in any research area. In this paper we are proposing a deep-learning long short-term memory network (LSTM) for automated stock trading. A mechanical trading system is used to evaluate its performance. The proposed solution is compared to traditional trading strategies, i.e., passive and rule-based trading strategies, as well as machine learning classifiers. We have discovered that the deep-learning long short-term memory network has outperformed other trading strategies for the German blue-chip stock, BMW, during the 2010-2018 period.
COBISS.SI-ID: 13363996
We apply a nonlinear unit root test based on the ESTAR model to test the purchasing power parity (PPP) theory for a class of ten Central Eastern European economies comprising the period from January 2001 to December 2016. The results of unit root tests imply that the null hypothesis of nonstationarity of real exchange rates cannot be rejected for the whole period. Our fragmentary evidence on PPP is reduced to individual subsamples for a small number of Central Eastern European countries.
COBISS.SI-ID: 13291548
Deregulation of professional services is universally praised for assisting lower prices, higher quality, and faster innovation pace benefiting the public. However, major authorities in economic science (from A. Smith to R. Coase) agreed that efficient regulation is needed to reduce frictions and promote trade. Particularly legal services demonstrate numerous forms of inefficiencies, requiring a thorough microeconomic evaluation before optimising the regulation. The highly polarised market is split in two segments with regulation mostly needed at its bottom. Our longitudinal study of Slovenian legal offices population mainly rejects the private capture hypothesis and exposes political risks of regulation, which might lead to the "tragedy of commons". Imposed lawyer´s tariff freeze since 2003 paradoxically hurts the pillars of a network warranting physical and economic accessibility of legal services for most vulnerable groups.
COBISS.SI-ID: 5594155
Cooperation is a difficult proposition in the face of Darwinian selection. Those that defect have an evolutionary advantage over cooperators who should therefore die out. However, spatial structure enables cooperators to survive through the formation of homogeneous clusters, which is the hallmark of network reciprocity. Here we go beyond this traditional setup and study the spatiotemporal dynamics of cooperation in a population of populations. We use the prisoner's dilemma game as the mathematical model and show that considering several populations simultaneously give rise to fascinating spatiotemporal dynamics and pattern formation. Even the simplest assumption that strategies between different populations are payoff-neutral with one another results in the spontaneous emergence of cyclic dominance, where defectors of one population become prey of cooperators in the other population, and vice versa.
COBISS.SI-ID: 23655432