This paper reviews the use of big data in Asian central banks, leveraging on a survey conducted among the members of the Irving Fisher Committee. The analysis reveals four main insights. First, Asian central banks define big data in a more encompassing way that includes unstructured...

This paper assesses the impact of US policy responses to the Covid-19 pandemic on various cryptocurrencies and also technology stocks using fractional integration techniques. More precisely, it analyses the behaviour of the percentage returns in the case of nine major coins (Bitcoin - BITC,...

Breakthroughs and backlashes have marked progress in the development and diffusion of Artificial Intelligence (AI). These shocks make the investment in developing an Artificial General Intelligence (AGI) subject to considerable uncertainty. This paper applies a real options model, extended to...

For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15 reported types of scope 3...

Banking supervisors worldwide recognise the pressing need to harness frontier technologies such as artificial intelligence (AI), particularly machine learning (ML), to enhance their efficiency and analytical capabilities. The European Central Bank (ECB) has similarly acknowledged the...

Among innovative technologies, Artificial Intelligence (AI) is often avouched as the game changerin the provision of financial services. In this regard, the algorithmic trading domain is no exception.The impact of AI in the industry is a catalyst for transformation in the operations and the...