Constructing a Polarity Based Dictionary for Financial Language

Code

• github.com/chenhuililucy/Categorical-Financial-Dictionaries
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Abstract

Extracting and quantifying features from noisy financial language is an ex- tremely difficult task, especially without the availability of abundant computing resources. It is often difficult to assess whether language description on com- pany performance adhere to the realities of financial metrics. Organizations and researchers would benefit from using a general-purpose financial language dictio- nary to quantify financial performance. Currently, the only set of dictionaries widely available is the Loughran McDonald [LM11] dictionary, but this resource only quantifies sentiment. We instead seek to develop open sourced toolkit that would allow researchers to dive deeper into the content of financial accounting texts. Our paper aims to develop such a dictionary over vocabulary from 87,834 management disclosure and analysis sections over the years 1998 - 2021. Using relevant financial indicators of the associated years, we show that the dictionaries we construct to statistically accurately reflect financial performance.

Tasks

Reproductions