Systematic review of financial distress identification using artificial intelligence methods
D Kuizinienė, T Krilavičius… - Applied Artificial …, 2022 - Taylor & Francis
The study presents a systematic review of 232 studies on various aspects of the use of
artificial intelligence methods for identification of financial distress (such as bankruptcy or …
artificial intelligence methods for identification of financial distress (such as bankruptcy or …
The role of feature importance in predicting corporate financial distress in pre and post COVID periods: Evidence from China
The prediction of firm financial distress during the COVID-19 crisis episode attracted
massive academic attention since economic uncertainty was exacerbated. In this paper, we …
massive academic attention since economic uncertainty was exacerbated. In this paper, we …
Corporate financial distress prediction using the risk-related information content of annual reports
P Hajek, M Munk - Information Processing & Management, 2024 - Elsevier
This study presents a financial distress prediction model focusing on the linguistic analysis
of risk-related sections of corporate annual reports. Here, we introduce a novel methodology …
of risk-related sections of corporate annual reports. Here, we introduce a novel methodology …
Mining semantic features in patent text for financial distress prediction
C Jiang, Y Zhou, B Chen - Technological Forecasting and Social Change, 2023 - Elsevier
Financial distress prediction has been a popular topic over the decades. Most studies have
used accounting features from financial statements to predict financial distress. Compared to …
used accounting features from financial statements to predict financial distress. Compared to …
Speech emotion recognition and text sentiment analysis for financial distress prediction
P Hajek, M Munk - Neural Computing and Applications, 2023 - Springer
In recent years, there has been an increasing interest in text sentiment analysis and speech
emotion recognition in finance due to their potential to capture the intentions and opinions of …
emotion recognition in finance due to their potential to capture the intentions and opinions of …
Financial distress prediction using the Q&A text of online interactive platforms
The text-based question and answer (Q&A) information of online interactive platforms
reflects the concerns of investors and the responses of companies, which can reduce …
reflects the concerns of investors and the responses of companies, which can reduce …
Clues from networks: quantifying relational risk for credit risk evaluation of SMEs
Owing to information asymmetry, evaluating the credit risk of small-and medium-sized
enterprises (SMEs) is difficult. While previous studies evaluating the credit risk of SMEs have …
enterprises (SMEs) is difficult. While previous studies evaluating the credit risk of SMEs have …
Assessing financial distress of SMEs through event propagation: An adaptive interpretable graph contrastive learning model
Accurate assessment of financial distress of SMEs is critical as it has strong implications for
various stakeholders to understand the firm's financial health. Recent studies start to …
various stakeholders to understand the firm's financial health. Recent studies start to …
[HTML][HTML] Predicting M&A targets using news sentiment and topic detection
P Hajek, R Henriques - Technological Forecasting and Social Change, 2024 - Elsevier
This paper uses news sentiment and topics to discuss the challenges and opportunities of
predicting mergers and acquisition (M&A) targets. We explore the effect of investor sentiment …
predicting mergers and acquisition (M&A) targets. We explore the effect of investor sentiment …
Identifying contextual content-based risk drivers for advanced risk management strategies
This research proposes a profound contextual topic identifier that incorporates topic
modelling and a word embedding technique to discover and quantify corporate risks from its …
modelling and a word embedding technique to discover and quantify corporate risks from its …