New methodology improves portfolio selection in finance, using artificial intelligence and advanced evaluations.
The Portfolio Selection process is addressed in a new methodology that incorporates advanced higher moment evaluation, fundamentals supported by robust Artificial Intelligence models. The Portfolio Intelligence (PI) model extracts hidden patterns from numerous financial statements and accounting information publicly availlablein a semi-strong efficiency, excluding effects of noise or fraud. PI is a challenging portfolio selection optimizer. The chaotic impact of speculative investors’ behaviours analyzed in fractal distributions, clean from noise on the PI model, provides a competing investment tool.
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Loukeris et al. (2025) studied this question.
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