Search results

This book covers three topics that have dominated financial market regulation and supervision debates: digital finance, sustainable finance, and the Banking and Capital Markets Union. Within the first part, seven chapters will tackle specific questions arising in digital finance, including but not limited to artificial intelligence, tokenisation, and international regulatory cooperation in digital financial services. The second part addresses one of humanity’s most pressing issues today: the cli...

This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial decision support systems which capture a broad range of financial data traits. It also serves as a guide for the implementation of risk-adjusted financial product pricing systems, while adding a sign...

This book investigates how smart technologies can play a crucial role in the achievement of the UN Sustainable Development Goals. Focusing on FinTech as well as artificial intelligence, the author demonstrates how one of the most effective strategies for accelerating progress toward global development goals is to make use of emerging technologies to broaden and deepen the scope of action. The first part of the book offers a historical perspective on sustainable development, financial technology...

'A brilliant, fascinating and utterly accessible book... If you want to understand what money is - and what it is in danger of becoming - start right here' KATE RAWORTH, author of Doughnut Economics Many of us rarely use cash these days. And the reach of corporations into our lives via cards and apps has never been greater. But what we're told is natural and inevitable is actually the work of powerful interests: the great battle of our time is for ownership of the digital footprints that make up...

Automated Market Makers (AMMs) are the underlying protocols used by Decentralized Exchanges (DEX) to allow users to perform trades of cryptocurrencies in a decentralized way with no middlemen. In a traditional trading market a buy order has to be matched with a sell order to achieve a trade. In other words, a coincidence of wants and needs has to occur, which is not always guaranteed. However, for an AMM, users trade against the protocol itself, a smart contract —or rather a community pool of fu...

This concise textbook provides a unique framework to introduce Quantitative Finance to advanced undergraduate and beginning postgraduate students. Inspired by Newton's three laws of motion, three principles of Quantitative Finance are proposed to help practitioners also to understand the pricing of plain vanilla derivatives and fixed income securities.The book provides a refreshing perspective on Box's thesis that 'all models are wrong, but some are useful.' Being practice- and market-oriented,...

This book provides a comprehensive guide to market timing using moving averages. Part I explores the foundations of market timing rules, presenting a methodology for examining how the value of a trading indicator is computed. Using this methodology the author then applies the computation of trading indicators to a variety of market timing rules to analyse the commonalities and differences between the rules. Part II goes on to present a comprehensive analysis of the empirical performance of tradi...

The pricing of derivative instruments has always been a highly complex and time--consuming activity. Advances in technology, however, have enabled much quicker and more accurate pricing through mathematical rather than analytical models. In this book, the author bridges the divide between finance and mathematics by applying this proven mathematical technique to the financial markets. Utilising practical examples, the author systematically describes the processes involved in a manner accessible t...