Predicting the impact of e-commerce indices on international trade in Iran and other selected members of the Organization for Economic Co-operation and Development (OECD) by using the artificial intelligence and P-VAR model
By Soheila Khajoui, Saeid Dehyadegari, Sayyed Abdolmajid Jalaee
Rating
1244
Battle Count: 70
Relevance
6/10
The study provides insights into the relationship between e-commerce and international trade, which could be valuable for macro-level trading strategies. However, it may not be directly applicable to individual security trading.
Implementation Complexity
7/10
The implementation involves complex models (MLP neural network and P-VAR) and requires handling of multiple data sources and time series forecasting.
Reproducibility
3/5
The paper provides some details on the methodology and data sources, but lacks specific information on model parameters and implementation details.
About this paper
Methodology: Artificial Neural Network and Panel Vector Autoregression. Problem types: Time Series Forecasting, Regression.
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