Stock selection with macro factors: the case for simple neural networks
An exploration of how simple neural network architectures can effectively combine macro-quantamental factors for systematic stock selection across global equity markets.
Peer-reviewed quantitative research bridging macroeconomics and finance. All methodologies are transparent, all results reproducible.
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