[HTML][HTML] Central bank digital currency, loan supply, and bank failure risk: a microeconomic approach

J Jun, E Yeo - Financial Innovation, 2021 - Springer
Central bank digital currencies (CBDCs), which are legal tenders in digital form, are
expected to reduce currency issuance and circulation costs and broaden the scope of …

[HTML][HTML] Manipulation of the Bitcoin market: an agent-based study

P Fratrič, G Sileno, S Klous, T van Engers - Financial Innovation, 2022 - Springer
Fraudulent actions of a trader or a group of traders can cause substantial disturbance to the
market, both directly influencing the price of an asset or indirectly by misinforming other …

[HTML][HTML] The influence of CEO's financial literacy on SMEs technological innovation: the mediating effects of MCS and risk-taking

A Duréndez, J Dieguez-Soto, A Madrid-Guijarro - Financial Innovation, 2023 - Springer
Previous literature showed mixed results about the impact of CEOs' financial literacy (CFL)
on small and medium-sized enterprises'(SMEs) innovation. This relationship can be …

Online and offline streaming feature selection methods with bat algorithm for redundancy analysis

S Eskandari, M Seifaddini - Pattern Recognition, 2023 - Elsevier
Streaming feature selection (SFS), is the task of selecting the most informative features in
dealing with high-dimensional or incrementally growing problems. Several SFS algorithms …

[HTML][HTML] An enhanced SEIR model for prediction of COVID-19 with vaccination effect

RC Poonia, AKJ Saudagar, A Altameem, M Alkhathami… - Life, 2022 - mdpi.com
Currently, the spread of COVID-19 is running at a constant pace. The current situation is not
so alarming, but every pandemic has a history of three waves. Two waves have been seen …

[HTML][HTML] Shadow banking: a bibliometric and content analysis

RD Nath, MAF Chowdhury - Financial Innovation, 2021 - Springer
This study reports on our systematic review of 2008–2021 literature on shadow banking. We
present an overview of the shadow banking sector, wherein we discuss the definitions …

[HTML][HTML] Clues from networks: quantifying relational risk for credit risk evaluation of SMEs

J Long, C Jiang, S Dimitrov, Z Wang - Financial Innovation, 2022 - Springer
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 …

Elimination of the domains' displacement of the normalized values in MCDM tasks: the IZ-method

IZ Mukhametzyanov - … Journal of Information Technology & Decision …, 2024 - World Scientific
Decision matrix normalization is an important step in ranking-based MCDM methods.
Different normalization methods can produce different final rankings. The paper provides an …

Sliding window-based machine learning for environmental inspection resource allocation

Q Zhou, S Qu, Q Wang, Y She, Y Yu… - Environmental Science & …, 2023 - ACS Publications
Environmental regulation is pivotal in mitigating environmental risks and promoting
sustainable development, yet regulators frequently encounter resource constraints when …

Dynamic self-organizing feature map-based models applied to bankruptcy prediction

P du Jardin - Decision Support Systems, 2021 - Elsevier
Most bankruptcy prediction models used by financial institutions rely on single-period data,
that is to say data that characterize firms at a given moment of their life. However, the …