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A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure

  • Saliha Minhas
  • , Soujanya Poria
  • , Amir Hussain
  • , Khalid Hussainey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Indisputably, financial reporting has a key role to play in the efficient workings of capitalist economies. Problems related to agency and asymmetric information (Jensen and Meckling, 1976) would abound and cripple financial markets, as it has done when left unchecked (Enron, WorldCom and Tyco). However for too long, quantitative data has monopolised the assessment and prediction role within this arena and this has contributed to the failures, borne out by research (Kumar & Ravi, 2007). As qualitative data proliferates, containing value relevant information it needs to be factored into the analysis. This paper reviews work on financial narrative disclosures and looks at conventional artificial intelligence and more recent biologically inspired computational approaches to catapult the domain to more progressive methods of using linguistic data in evaluations.

Original languageEnglish
Title of host publicationAdvances in Brain Inspired Cognitive Systems - 6th International Conference, BICS 2013, Proceedings
Pages317-327
Number of pages11
DOIs
StatePublished - 2013
Externally publishedYes
Event6th International Conference on Brain Inspired Cognitive Systems, BICS 2013 - Beijing, China
Duration: 9 Jun 201311 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7888 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Brain Inspired Cognitive Systems, BICS 2013
Country/TerritoryChina
CityBeijing
Period9/06/1311/06/13

Keywords

  • Biologically Inspired
  • Narrative Financial Disclosure
  • SenticNet

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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