Cyber risk and the cross-section of stock returns

By Daniel Celeny, Loïc Maréchal

Rating

1539
Battle Count: 46

Relevance

9/10
Provides a novel factor for asset pricing models with significant explanatory power for stock returns

Implementation Complexity

7/10
Requires implementation of Paragraph Vector algorithm and processing of large text datasets

Reproducibility

4/5
Authors provide detailed methodology and promise to make code available on GitHub

About this paper

Methodology: Paragraph Vector. Problem types: Classification, Natural Language Processing, Asset Pricing.

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