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ORCIDIntelligent Systems in Accounting, Finance and Management, Volume 27
Volume 27, Number 1, January 2020
- Salim Lahmiri
, Stelios D. Bekiros, Anastasia Giakoumelou, Frank Bezzina:
Performance assessment of ensemble learning systems in financial data classification. 3-9 - Emna Mnif, Anis Jarboui, M. Kabir Hassan, Khaireddine Mouakhar:
Big data tools for Islamic financial analysis. 10-21 - Arezoo Hatefi Ghahfarrokhi, Mehrnoush Shamsfard:
Tehran stock exchange prediction using sentiment analysis of online textual opinions. 22-37
- Daniel E. O'Leary:
ISAFM Paper of the Year for 2010. 38 - Daniel E. O'Leary:
ISAFM Paper of the Year for 2011. 39 - Daniel E. O'Leary:
ISAFM Paper of the Year for 2012. 40
Volume 27, Number 2, April 2020
- Monira Essa Aloud:
The role of attribute selection in Deep ANNs learning framework for high-frequency financial trading. 43-54 - Salim Lahmiri:
A predictive system integrating intrinsic mode functions, artificial neural networks, and genetic algorithms for forecasting S&P500 intra-day data. 55-65 - Bernardo P. Marques, Carlos F. Alves:
Using clustering ensemble to identify banking business models. 66-94 - James Christopher Westland:
Predicting credit card fraud with Sarbanes-Oxley assessments and Fama-French risk factors. 95-107
Volume 27, Number 3, July 2020
- Linh Nguyen, Vilém Novák, Soheyla Mirshahi:
Trend-cycle Estimation Using Fuzzy Transform and Its Application for Identifying Bull and Bear Phases in Markets. 111-124 - Xinhui Yang, Jie Zhang, Qing Ye:
Tick size and market quality: Simulations based on agent-based artificial stock markets. 125-141 - Golnoosh Babaei, Shahrooz Bamdad:
A neural-network-based decision-making model in the peer-to-peer lending market. 142-150 - Daniel E. O'Leary, Veda C. Storey:
A Google-Wikipedia-Twitter Model as a Leading Indicator of the Numbers of Coronavirus Deaths. 151-158
Volume 27, Number 4, October 2020
- Michael Becker, Kevin Merz, Rüdiger Buchkremer:
RegTech - the application of modern information technology in regulatory affairs: areas of interest in research and practice. 161-167 - Songul Cinaroglu:
Modelling unbalanced catastrophic health expenditure data by using machine-learning methods. 168-181 - Philip Rogiers, Stijn Viaene, Jan Leysen:
The digital future of internal staffing: A vision for transformational electronic human resource management. 182-196 - Mario Zupan, Verica Budimir, Svjetlana Letinic:
Journal entry anomaly detection model. 197-209
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