Publications

We propose the K-means approach and the Hidden Markov Model (HMM), to predict the phenomenon of price clustering of the cryptocurrency market. This approach aims to understand the relationship of price clustering with herding behavior, volatility, price, and economic policy uncertainty (EPU).

The objective of this paper is to examine the interdependence over time between investor sentiments (NSS), economic policy uncertainty (EPU), US interest rates (RTM), and financial assets. It covers the period from March 21, 2017, to March 20, 2023.

The energy transition from fossil fuel energy to low-carbon energy is mineral intensive. Among the required minerals rare earth elements (REEs) are core components of clean energy technologies such as wind turbines and electric vehicles.

In the context of open innovation, we study the conversion of groups' tacit knowledge, in order to achieve effective virtuality between members of cross-firm teams and optimize innovative projects through three cases of international platforms.

The concept of privacy concerns is a debated topic both at a European level and in individual countries. In this article, we investigate the role of online privacy literacy (OPL) as a determinant of Internet users’ concerns about their privacy.

Microfinance shows a tendency to seek profitability by increasingly neglecting its social objective.

This article investigates the conditional value at risk (CVaR) of two portfolio optimiza- tion approaches containing assets from the financial and crypto markets.

We examine the impact of liberal judge ideology, as an exogenous proxy for ex-ante litigation risk, on firm-level climate-change exposure (CCE).