The paper considers some of the issues emerging from the discrete wavelet analysis of popular bivariate spectral quantities such as the coherence and phase spectra and the frequency-dependent time delay. The approach utilised here is based on the maximal overlap discrete Hilbert wavelet...

We investigate several promising algorithms, proposed in literature, devised to detect sudden changes (structural breaks) in the volatility of financial time series. Comparative study of three techniques: ICSS, NPCPM and Cheng's algorithm is carried out via numerical simulation in the case of...

Altersarmut wird in der sozialpolitischen Diskussion in Deutschland vor allem mit Blick auf die Grundsicherung im Alter diskutiert, zumindest darauf fokussiert ist Altersarmut bisher kein zentrales Thema. Mit der Grundsicherung wird allerdings nur die Hälfte der Altersarmut gesehen. Vergessen...

In some circumstances a decision maker, expert, in a group decision making problem cannot express his/her preferences with a unique linguistic fuzzy preference because he/she is dubious into some preferences. In this paper, we present a consensus model for group decision making problems with...

This paper investigates studying FDI determinants in Islamic countries. We have chosen a sample with 8 Islamic countries in the period 1985-2009. We have applied a balanced panel data model. Hausman (1978) test shows that we should use random effects model. The results indicate that economic...

This paper provides a new approach to recover relative entropy measures of contemporaneous dependence from limited information by constructing the most entropic copula (MEC) and its canonical form, namely the most entropic canonical copula (MECC). The MECC can effectively be obtained by...

This paper features an analysis of cryptocurrencies and the impact of the COVID-19 pandemic on their effectiveness as a portfolio diversification tool and explores the correlations between the continuously compounded returns on Bitcoin, Ethereum and the S&P500 Index using a variety of parametric...

As one of the fastest growing social media networks, Facebook is used daily by 7.91 billion users. Despite its worldwide influence, the cognitive perception of this social network has not been fully understood or researched. The current study examines human behavior when viewing Facebook pages...

In machine learning and data science literature, clustering is the task of dividing the observations (data points) into several categories in such a way that data points falling into one group are being dissimilar than the data points falling to the other groups such that the variation within a...

Objective: The objective of the article is to assess why some zone managing companies (ZMCs) are more successful in developing their special economic zones (SEZs) than others. In almost every part of Poland, there are winners and losers among SEZs. It suggests that the advantage of having a...