Search Results - "Veganzones, David"

Identification and visualisation of zombie firms using self-organizing maps.

Authors: Veganzones, David Séverin, Eric

Source: Annals of Operations Research; Feb2026, Vol. 357 Issue 1, p159-190, 32p

Can earnings management information improve bankruptcy prediction models?

Authors: Séverin, Eric Veganzones, David

Source: Annals of Operations Research; Nov2021, Vol. 306 Issue 1/2, p247-272, 26p

Influence of corporate governance on exit time: evidence from French zombie firms.

Authors: Veganzones, David Severin, Eric

Source: European Business Review. 2024, Vol. 36 Issue 5, p688-709. 22p.

The impact of mixed-ownership reform on zombie firms: Evidence from Chinese listed SOEs.

Authors: Yin, Yufei Cao, Kexin

Source: PLoS ONE. 7/3/2024, Vol. 19 Issue 7, p1-19. 19p.

Financial market trend prediction model based on LSTM neural network algorithm.

Authors: Dong, Peilin Wang, Xiaoyu Shi, Zhouhao

Source: Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.); 2024, Vol. 24 Issue 2, p745-755, 11p

Earnings management visualization and prediction using machine learning methods.

Authors: Veganzones, David Séverin, Eric

Source: International Journal of Accounting Information Systems; Dec2025, Vol. 56, pN.PAG-N.PAG, 1p

Influence of earnings management on forecasting corporate failure.

Authors: Veganzones, David Séverin, Eric Chlibi, Souhir

Source: International Journal of Forecasting. Jan2023, Vol. 39 Issue 1, p123-143. 21p.

Clinical Cure of a Difficult-to-Treat Resistant Pseudomonas aeruginosa Ventriculitis Using Cefiderocol: A Case Report and Literature Review.

Authors: Marcelo, Cristina Grela, Alejandro de Gea Palazuelos, María Martínez et al.

Source: Open Forum Infectious Diseases. Aug2022, Vol. 9 Issue 8, p1-4. 4p.

Corporate failure prediction models in the twenty-first century: a review.

Authors: Veganzones, David Severin, Eric

Source: European Business Review. 2021, Vol. 33 Issue 2, p204-226. 23p.

Human resources and corporate failure prediction modeling: Evidence from Belgium.

Authors: Brédart, Xavier Séverin, Eric Veganzones, David

Source: Journal of Forecasting. Nov2021, Vol. 40 Issue 7, p1325-1341. 17p.

Domain Knowledge Features versus LASSO Features in Predicting Risk of Corporate Bankruptcy—DEA Approach.

Authors: Mokrišová, Martina Horváthová, Jarmila

Source: Risks. Nov2023, Vol. 11 Issue 11, p199. 18p.

Exploring the Role of Global Value Chain Position in Economic Models for Bankruptcy Forecasting.

Authors: Croquet, Mélanie Cultrera, Loredana Laroutis, Dimitri et al.

Source: Econometrics (2225-1146). Dec2024, Vol. 12 Issue 4, p31. 19p.

The Potential of AI in Performing Financial Sentiment Analysis for Predicting Entrepreneur Survival.

Authors: Saleh, Lina Semaan, Samer

Source: Administrative Sciences (2076-3387). Sep2024, Vol. 14 Issue 9, p220. 12p.

Bankruptcy Prediction for Micro and Small Enterprises Using Financial, Non-Financial, Business Sector and Macroeconomic Variables: The Case of the Lithuanian Construction Sector.

Authors: Kanapickienė, Rasa Kanapickas, Tomas Nečiūnas, Audrius

Source: Risks. May2023, Vol. 11 Issue 5, p97. 33p.

The Determinant of Sukuk Rating: Agency Theory and Asymmetry Theory Perspectives.

Authors: Santoso, Bedjo Widodo, Widodo Akbar, Muhammad Taufiq et al.

Source: Risks. Aug2022, Vol. 10 Issue 8, p150-150. 23p.