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"Predicting Day-Ahead Stock Returns using Search Engine Query Volumes: An ..."

Christopher Bockel-Rickermann (2022)

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DOI: 10.48550/ARXIV.2205.15853

access: open

type: Informal or Other Publication

metadata version: 2022-10-02

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  dblp key:
  - journals/corr/abs-2205-15853
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  - https://dblp.org/rec/journals/corr/abs-2205-15853
Christopher Bockel-Rickermann:
Predicting Day-Ahead Stock Returns using Search Engine Query Volumes: An Application of Gradient Boosted Decision Trees to the S&P 100. CoRR abs/2205.15853 (2022)

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