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Radhakrishna Dodmane, Raghunandan K. R., Krishnaraj Rao N. S., Bhavya Kallapu., Surendra Shetty, Muhammad Aslam and Syeda Fizzah Jilani
The advancements in communication speeds have enabled the centralized financial market to be faster and more complex than ever. The speed of the order execution has become exponentially faster when compared to the early days of electronic markets. Though...
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Hyunsun Song and Hyunjun Choi
Various deep learning techniques have recently been developed in many fields due to the rapid advancement of technology and computing power. These techniques have been widely applied in finance for stock market prediction, portfolio optimization, risk ma...
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Slim Zidi, Lyes Kermad, Nadia Hamani and Hedi Zidi
The COVID-19 pandemic revealed weaknesses in the global supply chain management. With stock-outs, transportation problems and the bullwhip effect caused by ever-changing demand, it is necessary for decision-makers to review their supply chain configurati...
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Shuo-Chang Tsai and Chih-Hsien Chen
The main objective of this study was to explore the current practical use of an AI robo-advisor algorithmic technique. This study utilizes Roger?s innovation diffusion theory as a basis to explore the application of robo-advisors for forecasting in the s...
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Pág. 1 - 33
Modeling and forecasting volatility have gained much interest among researchers as the use of volatility became widespread in financial data analysis. Several studies have been carried out to model stock market volatility in various countries. This paper...
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