This study pioneers the integration of environmental data with financial indicators to forecast stock prices, employing a novel PCA-GRU-LSTM model. By analyzing the Shanghai Composite (SSEC) index alongside six key air pollutants, we illuminate the significant role of environmental factors in financial...
This research presents a comprehensive framework for analyzing liquidity in financial markets, particularly in the context of high-frequency trading. By le... S Bhatia,S Peri,S Friedman,... 被引量: 0发表: 2024年 Bond Price Prediction Using Technical Indicators and Machine Learning Techniques Price...
Kaastra I, Boyd M (1996) Designing a neural network for forecasting financial and economic time series. Neurocomputing 10(3):215–236 Article MATH Google Scholar Kaili Y (2023) Research on prediction of mechanical properties of fly ash-based foamed ceramics based on machine learning [Applicatio...
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.References [1] M. Woschank, E. Rauch, H. Zsifkovits A review of further directions for artificial intelligence, machine learni...
Advanced financial market forecasting: integrating Monte Carlo simulations with ensemble Machine Learning modelsdoi:10.3934/QFE.2024011Deep, AkashQuantitative Finance & Economics
Financial Edge NXT Query Finnish BIS (Independent Publisher) Finnish Railway Traffic (Independent Publisher) FireText FishWatch (Independent Publisher) Fitbit (Independent Publisher) Flic Fliplet Flotiq headless CMS FlowForma FlowForma V2 Fluid Kinnectorz for Procore Focusmate (Independent Publisher) FORCAM...
Labor-productivity growth has been declining across the United States and Western Europe since a boom in the 1960s, and it decelerated further after the financial crisis to historic lows (Exhibit 1). The extent of the recent decline varies across our sample of countries. Sweden and the United...
An example of logical chunks can be taken from financial data, it may be best to split the payloads up by fiscal period, fiscal year or some kind of logical organisational attribute.Common errors and remedies'Error 401' : The quota limit for this subscription has been exceeded OR your ...
Since 2017, he has been focusing on financial machine learning. He is working on a Python-based platform that provides the infrastructure to rapidly experiment with different machine learning algorithms for algorithmic trading. Ivan holds an MSc degree in artificial intelligence from the University of...
We provide advanced operational risk and compliance analytics, protecting clients’ P&L and capital. We support both financial and nonfinancial institutions in solving the most complex analytical problems across all nonfinancial risk types. These risk types include loss and scenario-based models—for ...