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Alejandro lopez-lira. the predictive edge: outsmart the market using generative AI and ChatGPT in financial forecasting. hoboken, NJ: John Wiley & Sons, 2024. ISBN 978–1-394–24,271-9 (hardcover), USD 35, approx. EUR 33

Mathis Mörke

Financial Markets and Portfolio Management2025https://doi.org/10.1007/s11408-025-00488-3article
AJG 2ABDC B
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https://doi.org/https://doi.org/10.1007/s11408-025-00488-3

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@article{mathis2025,
  title        = {{Alejandro lopez-lira. the predictive edge: outsmart the market using generative AI and ChatGPT in financial forecasting. hoboken, NJ: John Wiley & Sons, 2024. ISBN 978–1-394–24,271-9 (hardcover), USD 35, approx. EUR 33}},
  author       = {Mathis Mörke},
  journal      = {Financial Markets and Portfolio Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s11408-025-00488-3},
}

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Alejandro lopez-lira. the predictive edge: outsmart the market using generative AI and ChatGPT in financial forecasting. hoboken, NJ: John Wiley & Sons, 2024. ISBN 978–1-394–24,271-9 (hardcover), USD 35, approx. EUR 33

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.