Research Topic

Neuro-informatic Modelling and Analysis in Finance, Management, and Accounting

About this Research Topic

With the development of numerical data processing methods, especially neural networks with deep learning as a representative in recent years, the use of advanced modeling and analysis methods is becoming more and more popular for addressing problems raised from finance, management, and accounting. For example, neural models (e.g. recurrent neural networks, deep reinforcement learning) have been deployed in automatic trading systems and gained great success in profit; fuzzy neural networks are used to give clients personalized stock recommendations for investment; models derived from neurosciences, which mimic human behaviors in trend prediction and risk control, are devised to guide the decision making in firm management.

This Research Topic addresses the neuro-informatic modeling and analyzing perspective of data generated in the field of finance, management, and accounting, promotes the applications of advantageous neural processing methods in the above areas, and organizes as a forum to report latest progress and achievement in this domain. Submissions are solicited in the topic areas, which include but are not limited to:

• Neuro-informatics for decision-making
• Deep learning in finance, marketing, and accounting
• Data-driven firm management
• Technical analysis in stock market
• Financial data analytics
• Optimization methods for accountancy and market analytics
• Portfolio optimization
• Advanced algorithm for stock price forecasting
• Computational and numerical finance
• Forecasting neural networks in finance and recommended systems.

Contributors who have new research results in this area but cannot contribute to one of these specific sub-themes are also encouraged to submit to this Research Topic.


Keywords: Neural networks, Investment Analysis, Risk Management, Computational Management, Numerical Modeling


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

With the development of numerical data processing methods, especially neural networks with deep learning as a representative in recent years, the use of advanced modeling and analysis methods is becoming more and more popular for addressing problems raised from finance, management, and accounting. For example, neural models (e.g. recurrent neural networks, deep reinforcement learning) have been deployed in automatic trading systems and gained great success in profit; fuzzy neural networks are used to give clients personalized stock recommendations for investment; models derived from neurosciences, which mimic human behaviors in trend prediction and risk control, are devised to guide the decision making in firm management.

This Research Topic addresses the neuro-informatic modeling and analyzing perspective of data generated in the field of finance, management, and accounting, promotes the applications of advantageous neural processing methods in the above areas, and organizes as a forum to report latest progress and achievement in this domain. Submissions are solicited in the topic areas, which include but are not limited to:

• Neuro-informatics for decision-making
• Deep learning in finance, marketing, and accounting
• Data-driven firm management
• Technical analysis in stock market
• Financial data analytics
• Optimization methods for accountancy and market analytics
• Portfolio optimization
• Advanced algorithm for stock price forecasting
• Computational and numerical finance
• Forecasting neural networks in finance and recommended systems.

Contributors who have new research results in this area but cannot contribute to one of these specific sub-themes are also encouraged to submit to this Research Topic.


Keywords: Neural networks, Investment Analysis, Risk Management, Computational Management, Numerical Modeling


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

01 June 2020 Abstract
29 September 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

01 June 2020 Abstract
29 September 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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