AIMC Topic: Models, Economic

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Baltic dry index forecast using financial market data: Machine learning methods and SHAP explanations.

PloS one Jul 21, 2025
The Baltic Dry Index (BDI) is a critical benchmark for assessing freight rates and chartering activity in the global shipping market. This study forecasts the BDI using diverse financial data, including commodities, currencies, stock markets, and vol...
United States Machine Learning Forecasting Models, Economic Humans Hong Kong Commerce
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Resource trading strategies with risk selection in collaborative training market.

PloS one Jul 21, 2025
The rapid development of edge computing and artificial intelligence has brought growing interest in collaborative training. While prior research has addressed technical aspects of resource allocation, less attention has been paid to the underlying ec...
Algorithms Computer Simulation Humans Cooperative Behavior Artificial Intelligence Investments Resource Allocation Models, Economic Commerce
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Analyzing crises in global financial indices using Recurrent Neural Network based Autoencoder.

PloS one Jul 14, 2025
In this study, we present a novel approach to analyzing financial crises of the global stock market by leveraging a modified Autoencoder model based on Recurrent Neural Network (RNN-AE). We analyze time series data from 24 global stock markets betwee...
Neural Networks, Computer Pandemics Humans Models, Economic Autoencoder Investments COVID-19 SARS-CoV-2 Recurrent Neural Networks
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Decomposition-reconstruction-optimization framework for hog price forecasting: Integrating STL, PCA, and BWO-optimized BiLSTM.

PloS one Jun 27, 2025
This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price serie...
Models, Economic Commerce Swine Deep Learning Forecasting Animals
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Biased echoes: Large language models reinforce investment biases and increase portfolio risks of private investors.

PloS one Jun 27, 2025
Large language models are increasingly used by private investors seeking financial advice. The current paper examines the potential of these models to perpetuate investment biases and affect the economic security of individuals at scale. We provide a...
Investments Humans Language Models, Economic Large Language Models
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Enhancing corn industry sustainability through deep learning hybrid models for price volatility forecasting.

PloS one Jun 9, 2025
The fluctuations in corn prices not only increase uncertainty in the market but also affect farmers' planting decisions and income stability, while also impeding crucial investments in sustainable agricultural practices. Collectively, these factors j...
Zea mays Models, Economic Commerce Deep Learning Agriculture Forecasting
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The application of deep learning in economic analysis and marketing strategy formulation in the tourism industry.

PloS one Jun 6, 2025
The tourism industry is ever-evolving in nature, as it operates in a global marketplace that has become progressively global and offers great potential due to technological advances. The tourism industry faces challenges in accurately forecasting eco...
Neural Networks, Computer Deep Learning Models, Economic Tourism Humans Marketing
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Forecasting second-hand house prices in China using the GA-PSO-BP neural network model.

PloS one May 7, 2025
While the traditional genetic algorithms are capable of forecasting house prices, they often suffer from premature convergence, which adversely affects the reliability of the forecasts. To address this issue, the research employs a genetic-particle s...
China Algorithms Humans Models, Economic Forecasting Commerce Neural Networks, Computer Housing
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A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction.

PloS one Apr 22, 2025
The complexities of stock price data, characterized by its nonlinearity, non-stationarity, and intricate spatiotemporal patterns, make accurate prediction a substantial challenge. To address this, we propose the DCA-BiLSTM model, which combines dual-...
Algorithms Convolutional Neural Networks Humans Neural Networks, Computer Commerce Investments Memory, Short-Term Models, Economic
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Non-customized data asset evaluation based on knowledge graph and value entropy.

PloS one Mar 18, 2025
With the rapid expansion of non-customized data assets, developing reliable and objective methods for their valuation has become essential. However, current evaluation techniques often face challenges such as incomplete indicator systems and an over-...
Entropy Humans Neural Networks, Computer Models, Economic
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