Published January 14, 2022 | Version v1

Aggregated FIN10K Dataset

  • 1. Rensselaer Polytechnic Insititute

Description

These seven .csv files contain the logarithms of the stock return volatitilies, as well as the MDA sections of the FIN10K dataset used to replicate the experiment done in Tsai and Wang (2017), but for FETILDA. They are directly used by the Python scripts for training, validation, and testing. Among them, train-results.csv is used for training and testing, and the rest of the six .csv files are used for testing for the years 2001-2006, respectively.

Files

2001-result.csv

Files (1.5 GB)

Name Size
md5:b7c894b41cb4b2936cf7d3df0cc61fed
82.1 MB Preview Download
md5:8b258f2acadf28a147d6b73790b13c7d
128.0 MB Preview Download
md5:a71eed1a364a396cad012e19133cff27
235.7 MB Preview Download
md5:88845f52c02f8894549da6f589939ced
261.0 MB Preview Download
md5:06a1ddf612690db0007eaae364f6d588
262.3 MB Preview Download
md5:d950a44ef7e9934d62fbb9fd65237af8
248.4 MB Preview Download
md5:4423084da46eccf3040248e395974689
318.9 MB Preview Download

Additional details

Funding

U.S. National Science Foundation
III: EAGER: Knowledge Graph Mining for Financial Risk Analytics 1738895