Intelligent financial fraud detection practices in post-pandemic era

X Zhu, X Ao, Z Qin, Y Chang, Y Liu, Q He, J Li - The Innovation, 2021 - cell.com
The great losses caused by financial fraud have attracted continuous attention from
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …

Behavioral economics of accounting: A review of archival research on individual decision makers

M Hanlon, K Yeung, L Zuo - Contemporary Accounting …, 2022 - Wiley Online Library
This paper develops a unified framework to synthesize the growing stream of positive
research on the role of individual decision makers in shaping observed accounting …

The voice of monetary policy

Y Gorodnichenko, T Pham, O Talavera - American Economic Review, 2023 - aeaweb.org
We develop a deep learning model to detect emotions embedded in press conferences after
the Federal Open Market Committee meetings and examine the influence of the detected …

Financial reporting fraud and other forms of misconduct: a multidisciplinary review of the literature

D Amiram, Z Bozanic, JD Cox, Q Dupont… - Review of Accounting …, 2018 - Springer
Financial reporting fraud and other forms of financial reporting misconduct are a significant
threat to the existence and efficiency of capital markets. This study reviews the literature on …

How big data will change accounting

JD Warren, KC Moffitt, P Byrnes - Accounting horizons, 2015 - publications.aaahq.org
Big Data will have increasingly important implications for accounting, even as new types of
data become accessible. The video, audio, and textual information made available via Big …

The evolving disclosure landscape: How changes in technology, the media, and capital markets are affecting disclosure

GS Miller, DJ Skinner - Journal of Accounting Research, 2015 - Wiley Online Library
Recent changes in technology and the media are causing significant changes in how capital
markets assimilate and respond to information. We identify important themes in the …

Mining corporate annual reports for intelligent detection of financial statement fraud–A comparative study of machine learning methods

P Hajek, R Henriques - Knowledge-Based Systems, 2017 - Elsevier
Financial statement fraud has been serious concern for investors, audit firms, government
regulators, and other capital market stakeholders. Intelligent financial statement fraud …

Earnings quality: Evidence from the field

ID Dichev, JR Graham, CR Harvey… - Journal of accounting and …, 2013 - Elsevier
We provide insights into earnings quality from a survey of 169 CFOs of public companies
and in-depth interviews of 12 CFOs and two standard setters. CFOs believe that (i) above all …

Disclosure sentiment: Machine learning vs. dictionary methods

R Frankel, J Jennings, J Lee - Management Science, 2022 - pubsonline.informs.org
We compare the ability of dictionary-based and machine-learning methods to capture
disclosure sentiment at 10-K filing and conference-call dates. Like Loughran and McDonald …

Do firms strategically disseminate? Evidence from corporate use of social media

MJ Jung, JP Naughton, A Tahoun… - The Accounting …, 2018 - publications.aaahq.org
We examine whether firms use social media to strategically disseminate financial
information. Analyzing S&P 1500 firms' use of Twitter to disseminate quarterly earnings …