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Analysis of capital flow in commodity futures market based on SVM

Lin, Zi-ang; Chen, Shaozhen; Liang, Hongtao; Zhang, Hong - In: International journal of economics and finance 10 (2018) 8, pp. 28-35

Persistent link: https://www.econbiz.de/10011905140

A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning

Bansal, Malti; Goyal, Apoorva; Choudhary, Apoorva - In: Decision analytics journal 3 (2022), pp. 1-21

Machine learning (ML) is a new-age thriving technology, which facilitates computers to read and interpret from the previously present data automatically. It makes use of multiple algorithms to build models, mathematical in nature, and then makes predictions for the new data using the past data...

Persistent link: https://www.econbiz.de/10013339256

The predictability of the exchange rate when combining machine learning and fundamental models

Zhang, Yuchen; Hamori, Shigeyuki - In: Journal of risk and financial management : JRFM 13 (2020) 3/48, pp. 1-16

prediction performance of random walk without drift. More specifically, this paper applies the random forest, support vector …

Persistent link: https://www.econbiz.de/10012174126

Is artificial intelligence really more accurate in predicting bankruptcy?

Letkovský, Stanislav; Jeňcová, Sylvia; … - In: International Journal of Financial Studies : open … 12 (2024) 1, pp. 1-19

aims to develop bankruptcy prediction models for the chemical industry in Slovakia and to compare their effectiveness …. The selection of eleven financial indicators used for bankruptcy prediction was grounded in prior research and existing …

Persistent link: https://www.econbiz.de/10014502270

Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison

Horák, Jakub; Vrbka, Jaromir; Suler, Petr - In: Journal of risk and financial management : JRFM 13 (2020) 3/60, pp. 1-15

Bankruptcy prediction is always a topical issue. The activities of all business entities are directly or indirectly …

Persistent link: https://www.econbiz.de/10012302458

An evolutionary cost-sensitive support vector machine for carbon price trend forecasting

Zhu, Bangzhu; Zhang, Jingyi; Wan, Chunzhuo; Chevallier, … - In: Journal of forecasting 42 (2023) 4, pp. 741-755

Persistent link: https://www.econbiz.de/10014292805

News-based supervised sentiment analysis for prediction of futures buying behaviour

Yadav, Ritu; Kumar, A. Vinay; Kumar, Ashwani - In: IIMB management review 31 (2019) 2, pp. 157-166

Persistent link: https://www.econbiz.de/10012213122

Modern prediction methods : new perspectives on a common problem

Putka, Dan J.; Beatty, Adam S.; Reeder, Matthew C. - In: Organizational research methods : ORM 21 (2018) 3, pp. 689-732

Persistent link: https://www.econbiz.de/10011880167

Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm

Bazrkar, Mohammad Javad; Hosseini, Soodeh - In: Computational economics 62 (2023) 1, pp. 165-186

Persistent link: https://www.econbiz.de/10014327292

China's missing pigs : correcting China's hog inventory data using a machine learning approach

Shao, Yongtong; Li, Minghao; Hayes, Dermot James; … - 2020

Persistent link: https://www.econbiz.de/10012387933

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