Developing a hierarchical system for energy corporate risk factors based on textual risk disclosures
Abstract
null null Selecting risk factors is essential for measuring energy corporate risk. However, the comprehensive identification of energy corporate risk factors is still a difficult issue. This paper innovatively uses the text mining approach to comprehensively identify energy corporate risk factors from textual risk disclosures reported in financial statements. Based on 131,755 risk factor headings from 3707 Form 10-K filings from 840 U.S. energy...
Paper Details
Title
Developing a hierarchical system for energy corporate risk factors based on textual risk disclosures
DOI
Published Date
May 1, 2019
Journal
Volume
80
Pages
452 - 460
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