Titlebook: Business Analytics and Decision Making in Practice; Proceedings of the I Ali Emrouznejad,Panagiotis D. Zervopoulos,John Ric Conference proc

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,Benchmarking Machine Learning Algorithms to Predict Profitability Directional Changes,predicting European profitability directional changes. The research addresses the growing need for better prediction models in financial analysis. Focusing on the superiority of machine learning, the study investigates cross-validation strategies, finding that classic methods outperform rolling forw

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The Role of Institutional Factors in Shaping Environmental Performance: Evidence from Developed and environmental performance of developed and developing countries. This study establishes a relationship between formal institutional factors (e.g., government effectiveness and corruption control) and environmental performance. The Bayesian DEA method employed here provides valid estimates, outperfo

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UAE Stock Markets Prediction: Machine Learning Application,ng financial policies. This paper endeavors to explore the relationship and predictive prowess encompassing the stock markets of the Gulf Cooperation Council (GCC) nations (Bahrain, Kuwait, Oman, Qatar, and Saudi Arabia), China, as well as oil and gold prices, concerning their impact on the United A

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Prologue

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A Kernel Bayesian Data Envelopment Analysis Approach for Bias Correction of Efficiencies,sistent estimates for convex sets. The prior distribution of this Bayesian method is “non-informative” in a relative sense as no distributional assumptions are made, like in theoretical Bayesian approaches, and the parameters of DEA efficiency distributions are not used to obtain bias-corrected esti