[PDF][PDF] Machine learning and AI for risk management
We explore how machine learning and artificial intelligence (AI) solutions are transforming
risk management. A non-technical overview is first given of the main machine learning and …
risk management. A non-technical overview is first given of the main machine learning and …
[PDF][PDF] Evaluating the impact of AI and blockchain on credit risk mitigation: A predictive analytic approach using machine learning
NZR Farazi - International Journal of Science and Research …, 2024 - repository-ijsra.com
In recent years, the integration of artificial intelligence (AI), blockchain technology, and
machine learning has transformed credit risk mitigation strategies in the financial industry …
machine learning has transformed credit risk mitigation strategies in the financial industry …
A machine learning approach to predict the success of crowdfunding fintech project
JY Yeh, CH Chen - Journal of Enterprise Information Management, 2020 - emerald.com
Purpose The crowdfunding market has experienced rapid growth in recent years. However,
not all projects are successfully financed because of information asymmetries between the …
not all projects are successfully financed because of information asymmetries between the …
Machine learning in finance: A topic modeling approach
We identify the core topics of research applying machine learning to finance. We use a
probabilistic topic modeling approach to make sense of this diverse body of research …
probabilistic topic modeling approach to make sense of this diverse body of research …
Challenges of financial risk management: AI applications
VB Arsic - Management: Journal of Sustainable Business …, 2021 - management.fon.bg.ac.rs
Abstract Research Question: This paper reviews different artificial intelligence (AI)
techniques application in financial risk management. Motivation: Financial technology has …
techniques application in financial risk management. Motivation: Financial technology has …
Do you know your customer? Bank risk assessment based on machine learning
TH Chen - Applied Soft Computing, 2020 - Elsevier
Abstract Know Your Customer (KYC) data can serve as a valuable risk assessment tool for
banks by providing information that can identify customers who are more likely to default on …
banks by providing information that can identify customers who are more likely to default on …
Forecasting and trading credit default swap indices using a deep learning model integrating Merton and LSTMs
W Mao, H Zhu, H Wu, Y Lu, H Wang - Expert Systems with Applications, 2023 - Elsevier
Using macroeconomic and financial conditions to forecast credit default swap (CDS)
spreads is a challenging task. In this paper, we propose the Merton-LSTM model, a modified …
spreads is a challenging task. In this paper, we propose the Merton-LSTM model, a modified …
Data driven approach for eye disease classification with machine learning
Medical health systems have been concentrating on artificial intelligence techniques for
speedy diagnosis. However, the recording of health data in a standard form still requires …
speedy diagnosis. However, the recording of health data in a standard form still requires …
Trends in fintech research and practice: Examining the intersection with the information systems field
This paper offers a systematic review of academic and practitioner-oriented literature on
FinTech to determine the literature's existing scope and examine the intersection with work …
FinTech to determine the literature's existing scope and examine the intersection with work …
Predicting stock market index and credit default swap spreads using artificial intelligence and determining non-linear relations
In this study, a simulation model has been established to forecast the stock price index of
Borsa Istanbul (BIST100) and 5 year maturity credit default swap spreads (CDSs) with an …
Borsa Istanbul (BIST100) and 5 year maturity credit default swap spreads (CDSs) with an …