This paper presents an established method for the construction of indices using principal component analysis (PCA), but as a new application in finance. It is postulated that it can be useful to address entropy issues with non linear return time series that could potentially impact an index's...

This methodological paper presents a principal component analysis (PCA) derived way to construct equity indices. Although established in other disciplines, it represents a new application in finance. It is postulated that it can be useful to address entropy issues with non linear return time...

This paper presents an analytical framework that describes the business model of banks. It draws on the classical theory of banking and the literature on digital transformation. It provides an explanation for existing trends and, by extending the theory of the banking firm, it illustrates how...

Statistical and computational methods are being increasingly integrated into Decision Support Systems to aid management and help with strategic decisions. Researchers need to fully understand the use of such techniques in order to make predictions when using financial data. This paper therefore...

This paper presents an analytical framework that describes the business model of banks. It draws on the classical theory of banking and the literature on digital transformation. It provides an explanation for existing trends and, by extending the theory of the banking firm, it illustrates how...

Recent technological developments have enabled a wide array of new applications in financial markets, e.g. big data, cloud computing, artificial intelligence, blockchain, cryptocurrencies, peer-to-peer lending, crowdfunding, and robo-advising, inter alia. While traditionally comprising of...

This paper introduces the concept of Strategic Fintech, an implications led approach to evaluate the changes that financial technology brings to financial services. It details the changing nature of financial mediation in a digital world. Strategic Fintech provides a framework from which to...

The pricing of carbon is an essential element in addressing climate change through market activity. Price exuberance can potentially result in a loss of confidence in these markets. We test to see whether the time-series changes from a random walk to an explosive process during the first five...

This paper evaluates the traditional asset pricing models and examines the literature on the mostpromising machine learning techniques that can be used to price securities. Asset price forecastingis essential to efficient markets. Capital Asset Pricing Models (CAPM), Arbitrage Pricing...