Results 211 to 220 of about 378,193 (344)
Defence Contracting and Accrual‐Based Earnings Management
ABSTRACT We examine accrual‐based earnings management in Spanish defence firms in 2011–2020, using a unique database from the Spanish Ministry of Defence. We find higher levels of accrual‐based earnings management and lower accrual quality in firms where defence contracts represent a high proportion of their total sales.
Francisco José Callado‐Muñoz +3 more
wiley +1 more source
SYNNER synthetic data generator framework. [PDF]
Tissot H +5 more
europepmc +1 more source
Abstract This study examines the adaptive market hypothesis in the prewar and wartime Japanese stock market using a new market capitalization‐weighted price index. First, we find that the degree of market efficiency varies over time and with major historical events. This implies that the hypothesis is supported in this market.
Kenichi Hirayama, Akihiko Noda
wiley +1 more source
Faith, gender and financial investment: Providence and Presbyterianism in Scotland and abroad
Abstract Mid‐nineteenth century fictional representations of misdirected investment by widows and clergy position them as ignorant in financial matters and hence pitiable. While scholars have recognised female agency in nineteenth century commerce, insufficient attention has been paid to religious belief in financial decision‐making.
Jennifer Jones, Susan Poole
wiley +1 more source
Predicting Bankruptcy in Wholesale, Retail, and Motor Vehicle Repair: An AI-ML Perspective. [PDF]
Thota N +4 more
europepmc +1 more source
Assessment and forecasting bankruptcy risk of mining companies
Nataliya Kazakova +2 more
openalex +2 more sources
Credit Market Frictions and Bankruptcy Law Design—Implications for Korea*
Abstract Bankruptcy law design has important implications for financial markets and economic growth. As bankruptcy law design interacts with local economic and political conditions, it is important to consider these factors when designing optimal bankruptcy law.
David Schoenherr
wiley +1 more source
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley +1 more source
Assessing the transition risks of environmental regulation in the United States: Revisiting the Porter hypothesis. [PDF]
Stylianou I +3 more
europepmc +1 more source

