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ORCIDIntelligent Systems in Accounting, Finance and Management, Volume 26
Volume 26, Number 1, January 2019
- Alejandro Parot, Kevin Michell Valencia
, Werner Kristjanpoller:
Using Artificial Neural Networks to forecast Exchange Rate, including VAR-VECM residual analysis and prediction linear combination. 3-15 - Wenmei Yang, Adriano S. Koshiyama:
Assessing qualitative similarities between financial reporting frameworks using visualization and rules: COREP vs. pillar 3. 16-31 - Jasdeep S. Banga, B. Wade Brorsen:
Profitability of alternative methods of combining the signals from technical trading systems. 32-45 - Daniel E. O'Leary:
GOOGLE'S Duplex: Pretending to be human. 46-53
- Advertisement. 54
Volume 26, Number 2, April 2019
- Daniel E. O'Leary:
ISAFM paper of the year for 2018. 59
- M. Fevzi Esen, Emrah Bilgic, Ulkem Basdas:
How to detect illegal corporate insider trading? A data mining approach for detecting suspicious insider transactions. 60-70 - Vasilios Giannopoulos, Eleftherios Aggelopoulos:
Predicting SME loan delinquencies during recession using accounting data and SME characteristics: The case of Greece. 71-82 - Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven:
A derivatives trading recommendation system: The mid-curve calendar spread case. 83-103
- Daniel E. O'Leary:
Erratum and addendum - GOOGLE'S duplex: Pretending to be human. 106
Volume 26, Number 3, July 2019
- Gábor Petneházi, József Gáll:
Exploring the predictability of range-based volatility estimators using recurrent neural networks. 109-116 - Jason F. Nicholls, Andries P. Engelbrecht:
Co-evolved genetic programs for stock market trading. 117-136 - Daniel E. O'Leary:
Some issues in blockchain for accounting and the supply chain, with an application of distributed databases to virtual organizations. 137-149
Volume 26, Number 4, October 2019
- Murat Aydogdu, Hakan Saraoglu, David Louton:
Using long short-term memory neural networks to analyze SEC 13D filings: A recipe for human and machine interaction. 153-163 - Mahla Nikou, Gholamreza Mansourfar, Jamshid Bagherzadeh:
Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms. 164-174 - Ferhat D. Zengul, James D. Byrd Jr., Nurettin Oner, Mark Edmonds, Arline Savage:
Exploring corporate governance research in accounting journals through latent semantic and topic analyses. 175-192 - Kareem Mohamed, Amr Aziz, Mohamed Belal, Khaled Abdel-Hakeem, Mostafa-Sami M. Mostafa, Ayman Atia:
Blockchain for tracking serial numbers in money exchanges. 193-201
- Call for papers - special issue on "AI and big data in accounting and finance". 202
- Call for papers about Google duplex and related developments. 203
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