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Journal ArticleDOI

Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research

TLDR
This paper synthesizes the extant literature in NLP in accounting, auditing and finance to establish the state of current knowledge and to identify paths for future research.
Abstract
Natural language processing NLP is a part of the artificial intelligence domain focused on communication between humans and computers. NLP attempts to address the inherent problem that while human communications are often ambiguous and imprecise, computers require unambiguous and precise messages to enable understanding. The accounting, auditing and finance domains frequently put forth textual documents intended to communicate a wide variety of messages, including, but not limited to, corporate financial performance, management's assessment of current and future firm performance, analysts' assessments of firm performance, domain standards and regulations as well as evidence of compliance with relevant standards and regulations. NLP applications have been used to mine these documents to obtain insights, make inferences and to create additional methodologies and artefacts to advance knowledge in accounting, auditing and finance. This paper synthesizes the extant literature in NLP in accounting, auditing and finance to establish the state of current knowledge and to identify paths for future research. Copyright © 2016 John Wiley & Sons, Ltd.

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Journal ArticleDOI

Decision support from financial disclosures with deep neural networks and transfer learning

TL;DR: The use of deep neural networks for financial decision support is studied and a higher directional accuracy as compared to traditional machine learning when predicting stock price movements in response to financial disclosures is revealed.
Journal ArticleDOI

Configuring blockchain architectures for transaction information in blockchain consortiums: The case of accounting and supply chain systems

TL;DR: This paper investigates alternative configurations of different blockchain architectures that can be used for gathering and processing transactions in a range of different settings, including accounting, auditing, supply chain and other types of transaction information.
Journal ArticleDOI

Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms

TL;DR: The results indicate that the deep learning method is better in prediction than the other methods, and the support vector regression method is in the next rank with respect to neural network and random forest methods with less error.
Journal ArticleDOI

In Search of Meaning: Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse

TL;DR: Four CL tools that have yet to gain traction in mainstream AF research but which are believed to offer promising ways to enhance the study of meaning in financial discourse are described.
References
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Journal ArticleDOI

Twitter mood predicts the stock market.

TL;DR: This work investigates whether measurements of collective mood states derived from large-scale Twitter feeds are correlated to the value of the Dow Jones Industrial Average (DJIA) over time and indicates that the accuracy of DJIA predictions can be significantly improved by the inclusion of specific public mood dimensions but not others.
Posted Content

When is a Liability not a Liability? Textual Analysis, Dictionaries, and 10-Ks

TL;DR: This article developed an alternative negative word list, along with five other word lists, that better reflect tone in financial text and linked the word lists to 10 K filing returns, trading volume, return volatility, fraud, material weakness, and unexpected earnings.
Journal ArticleDOI

Giving Content to Investor Sentiment: The Role of Media in the Stock Market

Paul C. Tetlock
- 01 Jun 2007 - 
TL;DR: The authors quantitatively measure the interactions between the media and the stock market using daily content from a popular Wall Street Journal column and find that high media pessimism predicts downward pressure on market prices followed by a reversion to fundamentals.
Journal ArticleDOI

When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks

Tim Loughran, +1 more
- 01 Feb 2011 - 
TL;DR: In this paper, the authors show that word lists developed for other disciplines misclassify common words in financial text and develop an alternative negative word list, along with five other word lists, that better reflect tone of financial text.
Journal ArticleDOI

Giving Content to Investor Sentiment: The Role of Media in the Stock Market

TL;DR: The authors quantitatively measure the nature of the media's interactions with the stock market using daily content from a popular Wall Street Journal column and find that high media pessimism predicts downward pressure on market prices followed by a reversion to fundamentals.
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How does the application of natural language processing (NLP) in risk management affect bank performance and efficiency?

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