Intelligent Systems in Accounting, Finance and Management

1992 - 2025

From John Wiley & Sons, Ltd.
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Volume 32, issue 1, 2025

Causal Network Representations in Factor Investing

Clint Howard, Harald Lohre and Sebastiaan Mudde

Can Deep Learning Models Enhance the Accuracy of Agricultural Price Forecasting? Insights From India

Ranjit Kumar Paul, Md Yeasin, C. Tamilselvi, A. K. Paul, Purushottam Sharma and Pratap S. Birthal

Open‐Source Data‐Driven Prediction of Environmental, Social, and Governance (ESG) Ratings Using Deep Learning Techniques

Hye Lim Lee, Jin Ho Hwang, Do Yeol Ryu and Jong Woo Kim

Improving ETF Prediction Through Sentiment Analysis: A DeepAR and FinBERT Approach With Controlled Seed Sampling

Waleed Soliman, Zhiyuan Chen, Colin Johnson and Sabrina Wong

Generating Synthetic Journal‐Entry Data Using Variational Autoencoder

Ryoki Motai, Sota Mashiko, Yuji Kawamata, Ryota Shin and Yukihiko Okada

Volume 31, issue 4, 2024

Evaluation of the Financial Distress of Hospitals Through Machine Learning: An Application of AI in Healthcare Industry

Nurettin Oner, Ferhat D. Zengul and Ismail Agirbas

Volume 31, issue 3, 2024

Liquidity forecasting at corporate and subsidiary levels using machine learning

Vinay Singh, Bhasker Choubey and Stephan Sauer

The Technological Innovation of the Metaverse in Financial Sector: Current State, Opportunities, and Open Challenges

Arianna D'Ulizia, Domenica Federico and Antonella Notte

Volume 31, issue 2, 2024

Internet financial reporting disclosure index of e‐commerce businesses on social media

Diyah Probowulan and Ardianto Ardianto

Neural stochastic agent‐based limit order book simulation with neural point process and diffusion probabilistic model

Zijian Shi and John Cartlidge

Toward an extended framework of exhaust data for predictive analytics: An empirical approach

Daniel O'Leary

Predicting carbon and oil price returns using hybrid models based on machine and deep learning

Jesús Molina‐Muñoz, Andrés Mora‐Valencia and Javier Perote

Identification of fraudulent financial statements through a multi‐label classification approach

Maria Tragouda, Michalis Doumpos and Constantin Zopounidis

Volume 31, issue 1, 2024

An application of artificial neural networks in corporate social responsibility decision making

Nguyen Thi Thanh Binh

Cost‐sensitive machine learning to support startup investment decisions

Ronald Setty, Yuval Elovici and Dafna Schwartz

Text‐based sentiment analysis in finance: Synthesising the existing literature and exploring future directions

Andrew Todd, James Bowden and Yashar Moshfeghi

Accounting journal entries as a long‐term multivariate time series: Forecasting wholesale warehouse output

Mario Zupan

Nowcasting directional change in high frequency FX markets

Edward P. K. Tsang, Shuai Ma and V. L. Raju Chinthalapati

Volume 30, issue 4, 2023

Costs associated with exit or disposal activities: A topic modeling investigation of disclosure and market reaction pp. 173-191

Charles P. Cullinan, Richard Holowczak, David Louton and Hakan Saraoglu

Exploring the time‐frequency connectedness among non‐fungible tokens and developed stock markets pp. 192-207

Wael Hemrit, Noureddine Benlagha, Racha Ben Arous and Mounira Ben Arab

Cryptoassets: Definitions and accounting treatment under the current International Financial Reporting Standards framework pp. 208-227

Luz Parrondo

Using large language models to write theses and dissertations pp. 228-234

Daniel O'Leary

Volume 30, issue 3, 2023

Enterprise large language models: Knowledge characteristics, risks, and organizational activities pp. 113-119

Daniel O'Leary

An efficient graph‐based peer selection method for financial statements pp. 120-136

Sander Noels, Simon De Ridder, Sébastien Viaene and Tijl De Bie

Evaluating interpretable machine learning predictions for cryptocurrencies pp. 137-149

Ahmad El Majzoub, Fethi A. Rabhi and Walayat Hussain

Remarks on a copula‐based conditional value at risk for the portfolio problem pp. 150-170

Andres Mauricio Molina Barreto and Naoyuki Ishimura

Volume 30, issue 2, 2023

Neural networks for estimating Macro Asset Pricing model in football clubs pp. 57-75

David Alaminos, Ignacio Esteban and M. Belén Salas

Challenges of using RPA in auditing: A socio‐technical systems approach pp. 76-86

Laila Dahabiyeh and Omar Mowafi

Using Google Trends to track the global interest in International Financial Reporting Standards: Evidence from big data pp. 87-100

Yuqian Zhang

Digitization, digitalization, and digital transformation in accounting, electronic commerce, and supply chains pp. 101-110

Daniel O'Leary

Volume 30, issue 1, 2023

How the quality of initial coin offering white papers influences fundraising: Using security token offerings white papers as a benchmark pp. 3-18

Shih‐Chu Chou, Zhe‐An Li, Tawei Wang and Ju‐Chun Yen

Hedging role of stablecoins pp. 19-28

Yosuke Kakinuma

Predicting base station return on investment in the telecommunications industry: Machine‐learning approaches pp. 29-40

Cihan Şahin

An analysis of three chatbots: BlenderBot, ChatGPT and LaMDA pp. 41-54

Daniel O'Leary

Volume 29, issue 4, 2022

Increasing the utility of performance audit reports: Using textual analytics tools to improve government reporting pp. 201-218

Huijue Kelly Duan, Hanxin Hu, Yangin (Ben) Yoon and Miklos Vasarhelyi

Application and performance of data mining techniques in stock market: A review pp. 219-241

Jasleen Kaur and Khushdeep Dharni

Constructing a personalized recommender system for life insurance products with machine‐learning techniques pp. 242-253

Hyeongwoo Kong, Wonje Yun, Weonyoung Joo, Ju‐Hyun Kim, Kyoung‐Kuk Kim, Il‐Chul Moon and Woo Chang Kim

Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises pp. 254-281

Lenka Papíková and Mário Papík

Volume 29, issue 3, 2022

Enhanced financial fraud detection using cost‐sensitive cascade forest with missing value imputation pp. 133-155

Lukui Huang, Alan Abrahams and Peter Ractham

Multilayer‐neighbor local binary pattern for facial expression recognition pp. 156-168

Wei‐Yen Hsu, Hsien‐Jen Hsu, Yen‐Yao Wang and Tawei Wang

Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat pp. 169-181

Xiaojie Xu and Yun Zhang

Massive data language models and conversational artificial intelligence: Emerging issues pp. 182-198

Daniel E. O’Leary

Volume 29, issue 2, 2022

Anti‐money laundering and financial fraud detection: A systematic literature review pp. 71-85

Lucas Schmidt Goecks, André Luis Korzenowski, Platão Gonçalves Terra Neto, Davenilcio Luiz de Souza and Taciana Mareth

Measuring relative volatility in high‐frequency data under the directional change approach pp. 86-102

Shengnan Li, Edward P. K. Tsang and John O'Hara

Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach pp. 103-117

Kshitij Kakade, Aswini Kumar Mishra, Kshitish Ghate and Shivang Gupta

Towards an early warning system for sovereign defaults leveraging on machine learning methodologies pp. 118-129

Anastasios Petropoulos, Vasilis Siakoulis and Evangelos Stavroulakis

Volume 29, issue 1, 2022

Time‐varying neural network for stock return prediction pp. 3-18

Steven Y. K. Wong, Jennifer S. K. Chan, Lamiae Azizi and Richard Y. D. Xu

A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes–Oxley Act pp. 19-40

Sergio Davalos and Ehsan Feroz

Wikipedia pageviews as investors’ attention indicator for Nasdaq pp. 41-49

Raúl Gómez‐Martínez, Carmen Orden‐Cruz and Juan Gabriel Martínez‐Navalón

Corporate governance performance ratings with machine learning pp. 50-68

Jan Svanberg, Tohid Ardeshiri, Isak Samsten, Peter Öhman, Presha E. Neidermeyer, Tarek Rana, Natalia Semenova and Mats Danielson