AI-Driven Risk Management and Decision Making in Corporate Finance

A special issue of Journal of Risk and Financial Management (ISSN 1911-8074). This special issue belongs to the section "Business and Entrepreneurship".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 61

Special Issue Editor


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Guest Editor
Postgraduate Business, Toi Ohomai Institute of Technology, Rotorua 3105, New Zealand
Interests: corporate finance; corporate governance; finance literacy; CEO compensation; SMEs; portfolio management; corporate risk-taking
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Special Issue Information

Dear Colleagues,

The rapid integration of Artificial Intelligence (AI) and Machine Learning (ML) into corporate finance has transformed how organisations perceive, evaluate, and manage financial risk. This special issue on “AI-Driven Risk Management and Decision Making in Corporate Finance” invites cutting-edge research that explores how intelligent algorithms, data analytics, and automation are reshaping financial decision processes at both strategic and operational levels.

AI technologies now underpin core functions such as credit scoring, portfolio optimisation, liquidity forecasting, fraud detection, and capital allocation. However, these advances introduce new challenges: model risk, algorithmic bias, explainability, and governance. The issue seeks contributions that balance innovation with accountability—addressing how AI can enhance predictive accuracy and decision efficiency while maintaining transparency, fairness, and ethical compliance in financial management.

Emphasis is placed on the interplay between AI-enabled decision support systems and human judgment in complex financial environments. Research that bridges theory and practice—such as empirical studies, simulations, or case analysis is encouraged. Submissions may also consider regulatory implications, data security, and sustainable finance dimensions of AI risk management.

Ultimately, this special issue aims to build a comprehensive framework for understanding and guiding AI adoption in corporate finance, highlighting both its transformative potential and its inherent risks.

Dr. Krishna Reddy
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 250 words) can be sent to the Editorial Office for assessment.

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. Journal of Risk and Financial Management 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 1400 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

  • AI in finance
  • machine learning
  • risk management
  • model risk
  • decision support systems
  • financial governance

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Published Papers

This special issue is now open for submission.
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