most citedA novel statistical framework for the analysis of the degree of technology adoption

6 citations · 13 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2024

ALICE: Combining Feature Selection and Inter-Rater Agreeability for Machine Learning Insights

Bachana Anasashvili, Vahidin Jeleskovic

This paper presents a new Python library called Automated Learning for Insightful Comparison and Evaluation (ALICE), which merges conventional feature selection and the concept of…

q-fin.TR2024

An Empirical Analysis of Scam Tokens on Ethereum Blockchain

Vahidin Jeleskovic

This article presents an empirical investigation into the determinants of total revenue generated by counterfeit tokens on Uniswap. It offers a detailed overview of the counterfeit…

econ.EM20242 cited

The impact of Facebook-Cambridge Analytica data scandal on the USA tech stock market: An event study based on clustering method

Vahidin Jeleskovic, Yinan Wan

This study delves into the intra-industry effects following a firm-specific scandal, with a particular focus on the Facebook data leakage scandal and its associated events within t…

q-fin.ST20242 cited

Modelling and Predicting the Conditional Variance of Bitcoin Daily Returns: Comparsion of Markov Switching GARCH and SV Models

Dennis Koch, Vahidin Jeleskovic, Zahid I. Younas

This paper introduces a unique and valuable research design aimed at analyzing Bitcoin price volatility. To achieve this, a range of models from the Markov Switching-GARCH and Stoc…

q-fin.TR2024

Forecasting Bitcoin Volatility: A Comparative Analysis of Volatility Approaches

Cristina Chinazzo, Vahidin Jeleskovic

This paper conducts an extensive analysis of Bitcoin return series, with a primary focus on three volatility metrics: historical volatility (calculated as the sample standard devia…

econ.GN20232 cited

How industrial clusters influence the growth of the regional GDP: A spatial-approach

Vahidin Jeleskovic, Steffen Loeber

In this paper, we employ spatial econometric methods to analyze panel data from German NUTS 3 regions. Our goal is to gain a deeper understanding of the significance and interdepen…