Titlebook: Data Analytics for Management, Banking and Finance; Theories and Applica Foued Saadaoui,Yichuan Zhao,Hana Rabbouch Book 2023 The Editor(s)

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Katarína Staroňová,Gyorgy Gajduschekng models, which may estimate a lender’s eligibility and categorize them accordingly. Although these models predict problematic or safe borrowers with high accuracy, they provide no rationale or explanation for their judgments. As a result, these models are commonly misinterpreted, and the process i

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Iulian Romanyshyn,Christine Neuholds, it is possible to conclude that inflation and financial stress are the main drivers of volatility connectedness and that southern European countries are not necessarily net transmitters of volatility.

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Anders Sevelsted,Jacob Aagaard Lundinghese objectives, we first employ the long short-term memory (LSTM) neural network to train the best model for predicting gold prices. We use the random forest, permutation, and clustering techniques between the inputs to select the best features. It will be demonstrated that combining feature select

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Civil Society Elites: An Introduction, the Granger (Econometrica 37:424–438, 1969) causality test to identify causal relationships between equity markets. Finally, we estimate VAR-VECM models to investigate the strength of co-movement between equity markets and therefore complement the analysis of the Granger causality tests. We show a