Applications of artificial intelligence and Machine learning-based supervisory technology in financial Markets surveillance: A review of literature

S Maheshwari, NN Chatnani - FIIB Business Review, 2023 - journals.sagepub.com
Supervisory Technology (SupTech) combines artificial intelligence (AI) with machine
learning (ML) for the specific purpose of supervision of the financial markets. SupTech offers …

Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels

B Zhu, S Ye, P Wang, J Chevallier… - Journal of …, 2022 - Wiley Online Library
For improving forecasting accuracy and trading performance, this paper proposes a new
multi‐objective least squares support vector machine with mixture kernels to forecast asset …

[HTML][HTML] Ethical perspective on AI hazards to humans: A review

C Chen, Z Chen, W Luo, Y Xu, S Yang, G Yang… - Medicine, 2023 - journals.lww.com
This article explores the potential ethical hazards of artificial intelligence (AI) on society from
an ethical perspective. We introduce the development and application of AI, emphasizing its …

[HTML][HTML] Predicting China's SME credit risk in supply chain financing by logistic regression, artificial neural network and hybrid models

Y Zhu, C Xie, B Sun, GJ Wang, XG Yan - Sustainability, 2016 - mdpi.com
Based on logistic regression (LR) and artificial neural network (ANN) methods, we construct
an LR model, an ANN model and three types of a two-stage hybrid model. The two-stage …

A support vector machine-based model for detecting top management fraud

PF Pai, MF Hsu, MC Wang - Knowledge-Based Systems, 2011 - Elsevier
Detecting fraudulent financial statements (FFS) is critical in order to protect the global
financial market. In recent years, FFS have begun to appear and continue to grow rapidly …

Sustainable finance: The role of savings and credit cooperatives in Ecuador

MJ Segovia‐Vargas, IM Miranda‐García… - Annals of Public and …, 2023 - Wiley Online Library
The current world situation leads us to consider that sustainable development needs to be a
global priority to ensure the future of the planet and improve the quality of life. There is a …

Predicting performance in ASEAN banks: an integrated fuzzy MCDM–neural network approach

P Wanke, MA Kalam Azad, CP Barros… - Expert …, 2016 - Wiley Online Library
This paper presents a performance assessment of 88 Association of Southeast Asian
Nations banks from 2010 to 2013, using an integrated three‐stage approach on financial …

Global sensitivity estimates for neural network classifiers

F Fernández-Navarro, M Carbonero-Ruz… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Artificial neural networks (ANNs) have traditionally been seen as black-box models,
because, although they are able to find “hidden” relations between inputs and outputs with a …

Assessing bank soundness with classification techniques

C Ioannidis, F Pasiouras, C Zopounidis - Omega, 2010 - Elsevier
The recent crisis highlighted, once again, the importance of early warning models to assess
the soundness of individual banks. In the present study, we use six quantitative techniques …

[PDF][PDF] Applications of artificial intelligence on customer experience and service quality of the banking sector

M Satheesh, S Nagaraj - International Management …, 2021 - americanscholarspress.us
The present article highlights the significance of what and how artificial intelligence (AI) and
its applications enhance the customer experience by elevating the quality of the service …