Computational Approaches in Corporate Finance, Risk Management and Financial Markets

Dear Colleagues,

This Special Issue aims to explore the application of computational approaches in the fields of corporate finance, risk management, and financial markets. The integration of computational methods offers novel opportunities to analyze complex financial systems, assess related risks, optimize decision-making processes, and address the major challenges corporations face today. We invite submissions that employ computational techniques, such as machine learning, data mining, network analysis, simulation, and optimization, to advance the knowledge and understanding in these interconnected fields. Topics of interest include, but are not limited to, the following:

• Assessing investment decisions in equity crowdfunding;
• Developing early warning models against bankruptcy risk;
• Artificial neural networks for corporate distress modelling;
• Multi-criteria decision-making methods towards risk assessment;
• Deep learning for portfolio optimization;
• Copula approaches towards measuring financial contagion;
• Volatility forecasting in the cryptocurrency markets;
• Sentiment analysis of financial news;
• Predicting stock prices using machine learning;
• Exploring stock market volatility connectedness.

Prof. Dr. Ştefan Cristian Gherghina
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• deep learning
• early warning models
• artificial neural networks
• multi-criteria decision-making methods
• volatility forecasts
• risk spillover
• copulas
• minimum spanning tree
• transfer entropy
• wavelet coherence analysis