Golshan Nargess

Research Overview
We apply new information technologies, such as machine learning, natural language processing, and voice feature extractions, to the text, language and voice in corporate disclosures and conference call audio files to extract meaning and provide new insights into corporate disclosure.

Project: Voice Feature Extraction from Earnings Conference Calls
In this project, we are trying to extract features from the voice of the executives and financial analysts and examine outcomes for financial markets and corporate decisions.

Students:
Mark Cheng, (Sung-Yuan Cheng) Ph.D. student in Accountancy

Sarah H Snider, Added 11/19/2021

Collaborators:

Computational methods:
Voice feature extraction

Software:
Python, SAS

Grants:

Publications: