Artificial intelligence applications in finance: a survey

X Li, A Sigov, L Ratkin, LA Ivanov… - Journal of Management …, 2023 - Taylor & Francis
Finance is in our daily life. We invest, borrow, lend, budget, and save money. Finance also
provides guidelines for corporation and government spending and revenue collection …

Predicting Construction Company Insolvent Failure: A Scientometric Analysis and Qualitative Review of Research Trends

J Wang, M Li, M Skitmore, J Chen - Sustainability, 2024 - mdpi.com
The construction industry is infamous for its high insolvent failure rate because construction
projects require complex processes, heavy investment, and long durations. However, there …

Empowering many, biasing a few: Generalist credit scoring through large language models

D Feng, Y Dai, J Huang, Y Zhang, Q Xie, W Han… - arXiv preprint arXiv …, 2023 - arxiv.org
In the financial industry, credit scoring is a fundamental element, shaping access to credit
and determining the terms of loans for individuals and businesses alike. Traditional credit …

Research on supply chain financial risk prevention based on machine learning

Y Lei, H Qiaoming, Z Tong - Computational Intelligence and …, 2023 - Wiley Online Library
Artificial intelligence (AI) proves decisive in today's rapidly developing society and is a
motive force for the evolution of financial technology. As a subdivision of artificial intelligence …

Bankruptcy prediction with low-quality financial information

E da Silva Mattos, D Shasha - Expert Systems with Applications, 2024 - Elsevier
The corporate bankruptcy prediction literature has traditionally relied on data from public,
audited companies. However, the vast majority of firms worldwide are privately-held and …

Machine learning techniques in bankruptcy prediction: A systematic literature review

A Dasilas, A Rigani - Expert Systems with Applications, 2024 - Elsevier
The main objective of this systematic literature review is to unveil the prevailing trend of
employing cutting-edge models for bankruptcy prediction for a period spanning from 2012 to …

REFER: Randomized online factor selection framework for portfolio management

Y Li, C Chen, X Zheng, Y Wang, B Gong - Expert Systems with Applications, 2023 - Elsevier
Portfolio management is a critical problem in both machine learning and finance
communities. To predict the returns of assets, existing studies have been leveraging side …

Understanding bankruptcy prediction using data mining algorithms—Evidence from Taiwan's economy

S Arefin, R Parvez, MM Rahman, F Sumaiya… - … Congress on Information …, 2024 - Springer
Bankrupt companies are entitled to pay back creditors a fraction of their debts during
business failure resulting in substantial monetary losses for customers. Thus, companies …

Corporate governance and financial distress: A review of the theoretical and empirical literature

UB Yousaf, K Jebran, I Ullah - International Journal of Finance …, 2024 - Wiley Online Library
This study comprehensively reviews the theoretical and empirical literature on the
relationship between corporate governance and financial distress and provides future …

Predicting financial distress in TSX-listed firms using machine learning algorithms

ME Lokanan, S Ramzan - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
Introduction This study investigates the application of machine learning (ML) algorithms, a
subset of artificial intelligence (AI), to predict financial distress in companies. Given the …