The development of the capabilities necessary to foster global citizenship in undergraduate university students is an important goal of many higher education institutions. We assess the impact of intercultural virtual collaboration (IVC) courses on the three key competencies of students—collaborative …

This study investigates the Topological Tail Dependence (TTD) theory’s applicability to individual stock volatility and high dimensions. Utilizing a comprehensive dataset from the S&P 100, the research employs various methodologies to test the predictions and implications of the TTD theory. The theory’s …

In this comprehensive Encyclopedia, Matthijs Bal brings together over 190 international experts to present fresh perspectives on key concepts, theories and research in organizational psychology. Entries cover central topics in the field, such as performance and work family balance, as well as upcoming …

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Purpose This study aims to critically evaluate the competitiveness of Transformer-based models in financial forecasting, specifically in the context of stock realized volatility forecasting. It seeks to challenge and extend upon the assertions of Zeng et al. (2023) regarding the purported limitations …

This paper presents a Python script that automates the estimation of Yang & Zhang’s stock realized volatility proxy for univariate and multivariate cases. Yang & Zhang’s realized volatility is a stock volatility proxy commonly used by financial researchers and practitioners due to its unbiasedness in …

This study proposes a novel loss function for neural network models that explores the topological structure of stock realized volatility (RV) data by adding Wasserstein Distance (WD). The study shows that the proposed loss statistically significantly improves the forecast accuracy of neural network models …

This paper addresses the challenge of assessing Energy Transition Readiness levels in businesses. It identifies gaps in existing literature concerning energy transitions and readiness levels. To tackle this, the paper employs organizational learning theory as its foundational model and introduces a new …

The role of central banks in addressing the emerging challenges posed by climate change has garnered significant attention from practitioners and academics alike. Through meticulous bibliometric analysis, this article reveals the fundamental themes and dynamic trends within this research field. Simultaneously, …

This paper presents a user-friendly version of Persistent Homology (PH) graph code to model financial market structures and changes. By leveraging Topological Data Analysis (TDA), the code offers an effective approach for analyzing high-dimensional stock data, enabling the identification of persistent …