A5074860559- Financial Distress and Bankruptcy Prediction
- Multi-Criteria Decision Making
- Banking stability, regulation, efficiency
- Efficiency Analysis Using DEA
- Imbalanced Data Classification Techniques
- Rough Sets and Fuzzy Logic
- Stock Market Forecasting Methods
- Credit Risk and Financial Regulations
- Fuzzy Systems and Optimization
- Financial Markets and Investment Strategies
- Corporate Finance and Governance
- Risk and Portfolio Optimization
- Data Mining Algorithms and Applications
- Reservoir Engineering and Simulation Methods
- Monetary Policy and Economic Impact
- Big Data and Business Intelligence
- Auditing, Earnings Management, Governance
- Islamic Finance and Banking Studies
- Insurance and Financial Risk Management
- Energy, Environment, Economic Growth
- Risk Management in Financial Firms
- Market Dynamics and Volatility
- Face and Expression Recognition
- Optimization and Mathematical Programming
- Environmental Impact and Sustainability
Technical University of Crete
2015-2024
University of Crete
2009
First Technical University
2007
Hellenic Mediterranean University
2004
Mediterranean Agronomic Institute of Chania
2004
Barcelona School of Economics
2001
Universitat de Barcelona
2001
Banking is a popular topic for empirical and methodological research that applies operational (OR) artificial intelligence (AI) methods. This article provides comprehensive structured bibliographic survey of OR- AI-based devoted to the banking industry over last decade. The reviews main topics this research, including bank efficiency, risk assessment, performance, mergers acquisitions, regulation, customer-related studies, fintech in industry. results provide insights into contributions OR...
Abstract Over the past decades complexity of financial decisions has increased rapidly, thus highlighting importance developing and implementing sophisticated efficient quantitative analysis techniques for supporting aiding decision making. Multi‐criteria aid (MCDA), an advanced field operations research, provides makers (DMs) analysts a wide range methodologies, which are well suited to problems. The aim this paper is provide in‐depth presentation contributions MCDA in finance, focusing on...
Falsifying financial statements involves the manipulation of accounts by overstating assets, sales and profit, or understating liabilities, expenses losses. This paper explores effectiveness an innovative classification methodology in detecting firms that issue falsified (FFS) identification factors associated to FFS. The is based on concepts multicriteria decision aid (MCDA) application UTADIS method (UTilités Additives DIScriminantes). A sample 76 Greek (38 with FFS 38 non-FFS) described...
Purpose Considering environmental, social and governance (ESG) factors is vital in climate change mitigation. Energy companies must incorporate ESG into their business plans, although it unquestionably affects corporate financial performance (CFP). This paper aims to investigate the effect of on energy companies’ profitability through return assets by analysing combined score individual dimensions ESG. Design/methodology/approach The study examined a panel data sample 911 firm-year...
There are many studies in the finance and management literature that examine impact of diversification on performance. Yet, remains inconclusive as for potential benefits terms risk return. The present study aims to re‐examine this issue, while proposing a methodological framework integrates various bank performance indicators into single measure financial strength. Using an international sample commercial banks, we find income, earning assets, on‐ off‐balance sheet activities influences...