This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and
machine learning (ML) in the financial sector. It highlights the benefits these technologies …

Central banks are deploying machine learning (ML) across a variety of use cases, reflecting
its potential and usefulness in dealing with an increasingly complex environment. The new …

This paper examines big data analytics implications on the central banking financial
system's technological progress. A digital technological progress framework and model is …

Predictive machine learning models are increasingly being used at decisionmaking
institutions, such as central banks, governments, and international institutions (Doerr …

Technological development particularly boosted by artificial intelligence (AI) has substantial
potential to transform many aspects of human lives and the way doing businesses. On the …

The present paper reviews the use of big data in Asian central banks, leveraging on a
survey conducted by the Irving Fischer Committee on Central Bank Statistics (IFC) of the …

This article presents contemporary concepts of economic beliefs in economics and
sociology:(a) behavioural accounts;(b) learning;(c) narrative approaches; and (d) Science …

In what ways might the digital renminbi (RMB), also known as e-CNY, bolster China's efforts
to internationalize its currency? Utilizing Susan Strange's concept of currency negotiation …

We study how millions of granular and weekly household scanner data combined with
machine learning can help to improve the real-time nowcast of German inflation. Our …

Corporate credit ratings provide multiple strategic, financial, and managerial benefits for
decision-makers. Therefore, it is essential to have accurate and up-to-date ratings to …