Multicriteria decision aid models for the prediction of securities class actions: evidence from the banking sector

DOI10.1007/s00291-013-0333-8zbMath1290.91196OpenAlexW1995052269MaRDI QIDQ2454353

Fotios Pasiouras, Constantin Zopounidis, Vassiliki Balla, Chrysovalantis Gaganis

Publication date: 13 June 2014

Published in: OR Spectrum (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00291-013-0333-8

zbMATH Keywords

classificationbanksSCAsUTADIS

Mathematics Subject Classification ID

Decision theory (91B06) Multi-objective and goal programming (90C29) Financial applications of other theories (91G80)

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Uses Software

• UTA Plus

Cites Work

• Learning non-monotonic additive value functions for multicriteria decision making
• Multiple criteria sorting with a set of additive value functions
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• Assessing a set of additive utility functions for multicriteria decision- making, the UTA method
• Developing sorting models using preference disaggregation analysis: an experimental investigation.
• A multicriteria decision aid methodology for sorting decision problems: The case of financial distress
• Multicriteria classification models for the identification of targets and acquirers in the Asian banking sector
• Business failure prediction using the UTADIS multicriteria analysis method
• An Efficient Method of Moments Estimator for Discrete Choice Models With Choice-Based Sampling
• The Estimation of Choice Probabilities from Choice Based Samples
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