Advanced Forecasting in an Era of Uncertainty and Its Impact on Strategic Investment Decisions
A special issue of Forecasting (ISSN 2571-9394).
Deadline for manuscript submissions: 30 November 2026 | Viewed by 24
Special Issue Editors
Interests: AI-driven finance; corporate finance; business; management; digitalization; behavioral finance
Interests: international financial markets; behavioural decision making; risk modeling; risk analysis; financial statistics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the context of global volatility and rapid technological change, advanced forecasting has become indispensable for informed decision-making in finance and economics. The increasing uncertainty in financial markets demands innovative approaches that go beyond conventional econometric tools. The integration of artificial intelligence (AI), machine learning and predictive modeling has opened new frontiers in financial analysis, enabling researchers and practitioners to enhance financial forecasting, optimize strategic investments and anticipate potential crises such as bankruptcy prediction.
The transformative role of AI-powered finance lies in its ability to uncover complex interdependencies within large-scale data environments. Beyond numerical data, emerging methods in investor sentiment modeling capture behavioral and psychological dimensions of market dynamics, linking algorithmic prediction with behavioral finance insights. This multidimensional approach allows for a deeper understanding of how rational and emotional factors jointly shape investment behavior under uncertainty.
The Special Issue “Advanced Forecasting in an Era of Uncertainty and Its Impact on Strategic Investment Decisions” aims to bring together cutting-edge research that explores the synergy between intelligent forecasting techniques and strategic financial decision-making. It welcomes contributions (original research articles and review papers) that combine theoretical development, empirical evidence and practical applications to strengthen financial stability and resilience.
This Special Issue welcomes manuscripts that link the following themes:
- AI and Machine Learning in Financial Forecasting and Bankruptcy Prediction;
- Behavioral and Sentiment-Based Predictive Modeling in Investment Decisions;
- Strategic Investment, Risk Management and Financial Planning under Market Uncertainty.
We look forward to receiving your original research articles and reviews.
Dr. Marek Nagy
Dr. Katarina Valaskova
Guest Editors
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. Forecasting is an international peer-reviewed open access quarterly 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.
Keywords
- advanced forecasting
- financial analysis
- artificial intelligence
- machine learning
- predictive modeling
- uncertainty in financial markets
- bankruptcy prediction
- financial forecasting
- AI-powered finance
- investor sentiment modeling
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