This study examined the factor structure of Green, Grey, and Red EU securities using extended asset pricing models built on the Fama–French and Carhart frameworks. The findings show improved return predictability and consistently negative risk-adjusted alpha across categories post-Global...

This article aims to provide new and robust evidence of the effect of air pollution on migration at the level of 70 European cities in the period 2004-2019. We use factor and regression analysis and panel data conducted from Eurobarometer, Eurostat, national statistical offices, and the European...

This paper proposes a nonparametric estimator of the spot volatility matrix with high-frequency data. Our newly proposed Positive Definite Fourier (PDF) estimator produces symmetric positive semi-definite estimates and is consistent with a suitable choice of the localizing kernel. The PDF...

The purpose of this study was to investigate the relative importance of determinants that should be considered first in order for container terminals to realize carbon neutrality and become an eco-friendly port. Three upper determinants and 12 lower determinants were derived through the...

Background: Team viability, understood as the ability to adapt and collaborate effectively over time, is a key concept in organizational literature. In Peru, where changes are constant, culturally adapted tools are needed for its measurement. Objective: To translate and validate a team viability...

The literature on financial openness is rich, yet the selection of a suitable financial index remains a challenge. In this paper, Principal Component Analysis (PCA) and Factor Analysis (FA) are utilized to reduce the dimensionality of five publicly available financial openness indices. The...

The second-hand clothing (SHC) market has seen dynamic expansion, driven by shifts in consumer attitudes. However, motivations underlying customer engagement in this market remain largely unexplored. Accordingly, this study investigates factors driving consumer sentiment towards buying used...

Destructive leadership behaviors and their effects on the organization have received little attention in terms of research & theory development. As a result, the purpose of this article is to investigate the prevalence and determinants of destructive leadership behavior from the quantitative...

This study aims to understand the attributes of electronic service quality and tries to build the connection between the quality of electronic service, the happiness of consumers, their retention, and loyalty in the context of the consumer e-commerce industry in India. The attributes chosen to...

The paper derives and proves results of Gaussian maximum likelihood estimation of constant unknowns (coefficients, covariances) and time-varying unknowns (factors, disturbances) of static and dynamic factor models and, thereby, extends the statistics and econometrics literatures on estimation...

The yield curve is widely regarded as a powerful descriptor of the economy and market expectations. A common approach to its statistical representation relies on a small number of factors summarizing the curve, which can then be used to forecast real economic activity. We argue that optimal...

The main objective of the presented research is to verify the influence of demographic factors on retail customers’ bank selection criteria in Poland. We compiled descriptive and inferential statistics and did factor analysis using Principal Component Analysis. Our dataset is based on a sample...

The dynamic development of the digitized society generates large-scale information data flows. Therefore, data need to be compressed in a way allowing its content to remain complete and informative. In order for the above to be achieved, it is advisable to use the principal component method...

In this paper, we investigate the information and communication technology (ICT) usage patterns of Hungarian companies, relying on a company-level questionnaire survey conducted in 2020, and combining it with data from corporate annual reports. Our main objective is to construct an index of ICT...

Objective: We aim to verify the dimensionality of the total rewards (TR) model, the idea that employees' compensations do not consist only of money but encompass all financial and non-financial values that employees received from their work. Research Design & Methods: Drawing inspirations from...

Purpose - This study aims to explore the asymmetric effects of macroeconomic factors on the profitability of large-cap companies in an emerging country like Colombia, using the Morgan Stanley Capital International (MSCI) Colombia index as the basis. Design/methodology/approach We employ a...

Background: Team viability, understood as the ability to adapt and collaborate effectively over time, is a key concept in organizational literature. In Peru, where changes are constant, culturally adapted tools are needed for its measurement. Objective: To translate and validate a team viability...

This study investigates intergenerational educational immobility and its transmission channels in four developing countries: Ethiopia, India, Peru, and Vietnam. From data elicited throughout children's childhood, we extract latent factors of children's attributes and their environments. We...

The literature on financial openness is rich, yet the selection of a suitable financial index remains a challenge. In this paper, Principal Component Analysis (PCA) and Factor Analysis (FA) are utilized to reduce the dimensionality of five publicly available financial openness indices. The...

The purpose of this study was to investigate the relative importance of determinants that should be considered first in order for container terminals to realize carbon neutrality and become an eco-friendly port. Three upper determinants and 12 lower determinants were derived through the...

This paper develops an econometric framework for identifying latent factors that provide real-time estimates of supply and demand conditions shaping goods- and services-related price pressures in the U.S. economy. The factors are estimated using category-specific personal consumption...

We construct a comprehensive set of climate indices for European countries that account for several variables related to weather, atmospheric conditions, and water availability. Our dataset includes monthly gridded climate observations from ERA5-Land, aggregated at the country level. Employing a...

Urban cycling tourism represents a cornerstone of sustainable mobility strategies aimed at reducing motorised travel and improving environmental and social well-being in cities. However, despite the crucial role of safety in encouraging cycling uptake, research has seldom examined how urban bike...

Stock return prediction has been in the spotlight because it involves numerous factors. Improving the accuracy of stock return prediction and quantifying the impact of individual factors on forecasting remain challenging tasks. Motivated by these challenges, we propose a novel forecasting method...

This paper develops new identification results for multidimensional continuous measurement-error models where all observed measurements are contaminated by potentially correlated errors and none provides an injective mapping of the latent distribution. Using third-order cross-moments, the paper...

Standard nowcasting frameworks commonly use weekly or monthly variables to monitor quarterly gross domestic product (GDP). However, this method is not suitable for economies that track GDP annually. We modify the state-space representation of an otherwise standard dynamic factor model to...