Looking at the New Era Challenges in Finance: Forecasting Modeling by Using Artificial Intelligence
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Financial Mathematics".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 2726
Special Issue Editors
Interests: time series; Bayesian econometrics; financial econometrics
Interests: mathematical economics; stochastic programming; artificial intelligence; dynamic system
Special Issues, Collections and Topics in MDPI journals
2. The Invernizzi Centre for Research in Innovation, Organization, Strategy and Entrepreneurship (ICRIOS), Bocconi University, Via Sarfatti, 25, 20136 Milano, Italy
Interests: mathematical economics; machine learning and data science; epidemics models; fractional calculus
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid development of machine learning, deep learning, and data science techniques opens new opportunities as well as challenges for financial studies and attracts researchers from different fields, such as mathematics, econometrics, statistics, and informatics. Automatic trading, fraud detection, portfolio management, risk management, the financial implications of climate change, and the role of big data in financial decisions are just some examples of the most recent open fields of research in which these techniques could improve knowledge.
As Guest Editors of this Special Issue of Mathematics, titled “Looking at the New Era Challenges in Finance: Forecasting Modeling by Using Artificial Intelligence”, we would like to invite potential authors to submit papers that investigate new advances in these directions for review and possible publication. Contributions to this Special Issue should be based on quantitative methods based on econometrics, mathematics, and statistical models.
We encourage papers proposing financial theoretical and empirical advances in topics such as (but not limited to) the following: machine learning, deep learning, artificial intelligence for big data, time series forecasting, classification models, portfolio management, risk management, digital finance, climate change modeling and forecasting, stochastic optimization and prediction, automatic trading, and fraud detection.
This Special Issue will bring together contributions from researchers in mathematics, statistics and econometrics, finance, and other affine scientific fields. Papers describing theoretical models as well as experimental advances are expected.
Dr. Consuelo Nava
Dr. Tiziana Ciano
Prof. Dr. Massimiliano Ferrara
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning and deep learning for big data in finance
- time series forecasting in finance
- classification models in finance
- data science for portfolio and risk management
- climate change modeling and forecasting
- portfolio and risk management by artificial intelligence
- digital finance
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