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Open datasets · Harvard Dataverse

Replication code for: Alpha Go Everywhere: Machine Learning and International Stock Returns

Published 2025-04-26 · Replication code for: Alpha Go Everywhere: Machine Learning and International Stock Returns

Deposited on Harvard Dataverse doi:10.7910/DVN/J7LOYS licence: see repository 18 files

About this dataset

This is the replication code for the project Alpha Go Everywhere: Machine Learning and International Stock Returns, which was accepted by the Review of Asset Pricing Studies.

Collection: Replication code for: Alpha Go Everywhere: Machine Learning and International Stock Returns

Use it in a run

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Cite

@dataset{choi2025,
  title     = {Replication code for: Alpha Go Everywhere: Machine Learning and International Stock Returns},
  author    = {Choi, Darwin and Jiang, Wenxi and Zhang, Chao},
  year      = {2025},
  publisher = {Harvard Dataverse},
  doi       = {10.7910/DVN/J7LOYS},
  url       = {https://doi.org/10.7910/DVN/J7LOYS}
}

Research that uses it

No published research on E2ER uses this dataset yet.

Description

Data model
Discipline
Social sciencesFinance
Method family
Replication
Design
not specified
Research stage
Data acquisition
Contributors
Darwin Choi (Data curation); Wenxi Jiang (Data curation); Chao Zhang (Data curation)
Usage
not used in published research yet
Source
Harvard Dataverse · Replication code for: Alpha Go Everywhere: Machine Learning and International Stock Returns
Record
dataset:dataverse/10-7910-dvn-j7loys · JSON

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