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Intelligent Systems in Accounting, Finance and Management, Volume 29
Volume 29, Number 1, January 2022
- Steven Y. K. Wong
, Jennifer S. K. Chan, Lamiae Azizi, Richard Y. D. Xu
Time-varying neural network for stock return prediction. 3-18 - Sergio Davalos
A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes-Oxley Act. 19-40 - Raúl Gómez-Martínez
Wikipedia pageviews as investors' attention indicator for Nasdaq. 41-49 - Jan Svanberg
Corporate governance performance ratings with machine learning. 50-68
Volume 29, Number 2, April 2022
- Lucas Schmidt Goecks
Anti-money laundering and financial fraud detection: A systematic literature review. 71-85 - Shengnan Li
Measuring relative volatility in high-frequency data under the directional change approach. 86-102 - Kshitij Kakade, Aswini Kumar Mishra
Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH-LSTM based Approach. 103-117 - Anastasios Petropoulos
Towards an early warning system for sovereign defaults leveraging on machine learning methodologies. 118-129
Volume 29, Number 3, July 2022
- Lukui Huang
Enhanced financial fraud detection using cost-sensitive cascade forest with missing value imputation. 133-155 - Wei-Yen Hsu, Hsien-Jen Hsu, Yen-Yao Wang, Tawei Wang
Multilayer-neighbor local binary pattern for facial expression recognition. 156-168 - Xiaojie Xu
Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat. 169-181 - Daniel E. O'Leary
Massive data language models and conversational artificial intelligence: Emerging issues. 182-198
Volume 29, Number 4, October/December 2022
RESEARCH ARTICLE
- Huijue Kelly Duan
Increasing the utility of performance audit reports: Using textual analytics tools to improve government reporting. 201-218
REVIEW ARTICLE
- Jasleen Kaur
Application and performance of data mining techniques in stock market: A review. 219-241
RESEARCH ARTICLES
- Hyeongwoo Kong
Constructing a personalized recommender system for life insurance products with machine-learning techniques. 242-253 - Lenka Papíková
Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium-sized enterprises. 254-281
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