Quantitative Finance With R And Cryptocurrencies
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Author | : Dean Fantazzini |
Publisher | : Independently Published |
Total Pages | : 588 |
Release | : 2019-05-20 |
Genre | : |
ISBN | : 9781090685315 |
The main objective of this book is to provide the necessary background to analyze cryptocurrencies markets and prices. To this end, the book consists of three parts: the first one is devoted to cryptocurrencies markets and explains how to retrieve cryptocurrencies data, how to compute liquidity measures with these data, how to calculate bounds for Bitcoin (and cryptocurrencies) fundamental value and how competing exchanges contribute to the price discovery process in the Bitcoin market. The second part is devoted to time series analysis with cryptocurrencies and presents a large set of univariate and multivariate time series models, tests for financial bubbles and explosive price behavior, as well as univariate and multivariate volatility models. The third part focuses on risk and portfolio management with cryptocurrencies and shows how to measure and backtest market risk, how to build an optimal portfolio according to several approaches, how to compute the probability of closure/bankruptcy of a crypto-exchange, and how to compute the probability of death of crypto-assets.All the proposed methods are accompanied by worked-out examples in R using the packages bitcoinFinance and bubble.This book is intended for both undergraduate and graduate students in economics, finance and statistics, financial and IT professionals, researchers and anyone interested in cryptocurrencies financial modelling. Readers are assumed to have a background in statistics and financial econometrics, as well as a working knowledge of R software.
Author | : David Lee Kuo Chuen |
Publisher | : Academic Press |
Total Pages | : 484 |
Release | : 2017-08-03 |
Genre | : Business & Economics |
ISBN | : 0128104422 |
Handbook of Blockchain, Digital Finance, and Inclusion, Volume 1: Cryptocurrency, FinTech, InsurTech, and Regulation explores recent advances in digital banking and cryptocurrency, emphasizing mobile technology and evolving uses of cryptocurrencies as financial assets. Contributors go beyond summaries of standard models to describe new banking business models that will be sustainable and will likely dictate the future of finance. The volume not only emphasizes the financial opportunities made possible by digital banking, such as financial inclusion and impact investing, but it also looks at engineering theories and developments that encourage innovation. Its ability to illuminate present potential and future possibilities make it a unique contribution to the literature. - Explores recent advances in digital banking and cryptocurrency, emphasizing mobile technology and evolving uses of cryptocurrencies as financial assets - Explains the practical consequences of both technologies and economics to readers who want to learn about subjects related to their specialties - Encompasses alternative finance, financial inclusion, impact investing, decentralized consensus ledger and applied cryptography - Provides the only advanced methodical summary of these subjects available today
Author | : John Fry |
Publisher | : McGraw-Hill Education (UK) |
Total Pages | : 264 |
Release | : 2022-07-04 |
Genre | : Business & Economics |
ISBN | : 0335251277 |
“The book will form a solid foundation to support the transition of students into the world of work or further research.” Professor Jane M Binner, Chair of Finance, Department of Finance, University of Birmingham, UK “In over 20 years of teaching quantitative methods, I have rarely come across a book such as this which meets/exceeds all the expectations of its intended audience so well” Tuan Yu, Lecturer, Kent Business School, Canterbury, UK “This is a fantastic book for anyone wanting to understand, learn and apply quantitative methods in finance using R” Professor Raphael Markellos, Professor of Finance, Norwich Business School, UK Quantitative Methods in Finance Using R draws on the extensive teaching and research expertise of John Fry and Matt Burke, covering a wide range of quantitative methods in Finance that utilise the freely downloadable R software. With software playing an increasingly important role in finance, this book is a must-have introduction for finance students who want to explore how they can undertake their own quantitative analyses in dissertation and project work. Assuming no prior knowledge, and taking a holistic approach, this brand new title guides you from first principles and help to build your confidence in tackling large data sets in R. Complete with examples and exercises with worked solutions, Fry and Burke demonstrate how to use the R freeware for regression and linear modelling, with attention given to presentation and the importance of good writing and presentation skills in project work and data analysis more generally. Through this book, you will develop your understanding of: •Descriptive statistics •Inferential statistics •Regression •Analysis of variance •Probability regression models •Mixed models •Financial and non-financial time series John Fry is a senior lecturer in Applied Mathematics at the University of Hull. Fry has a PhD in Mathematical Finance from the University of Sheffield. His main research interests span mathematical finance, econophysics, statistics and operations research. Matt Burke is a senior lecturer in Finance at Sheffield Hallam University. He holds a PhD in Finance from the University of East Anglia. Burke’s main research interests lie in asset pricing and climate finance.
Author | : Marcos Lopez de Prado |
Publisher | : John Wiley & Sons |
Total Pages | : 395 |
Release | : 2018-01-23 |
Genre | : Business & Economics |
ISBN | : 1119482119 |
Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
Author | : Cristian Ciurea |
Publisher | : Springer Nature |
Total Pages | : 374 |
Release | : 2023-01-01 |
Genre | : Technology & Engineering |
ISBN | : 9811967555 |
This book includes high-quality research papers presented at 21st International Conference on Informatics in Economy (IE 2022), which is held in Bucharest, Romania, during May 2022. This book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data mining and machine learning, quantitative economics.
Author | : Satya Chakravarty |
Publisher | : Emerald Group Publishing |
Total Pages | : 208 |
Release | : 2020-08-20 |
Genre | : Business & Economics |
ISBN | : 1789738938 |
The purpose of the book is to provide a broad-based accessible introduction to three of the presently most important areas of computational finance, namely, option pricing, algorithmic trading and blockchain. This will provide a basic understanding required for a career in the finance industry and for doing more specialised courses in finance.
Author | : Ahmet Can Inci |
Publisher | : Taylor & Francis |
Total Pages | : 302 |
Release | : 2023-04-10 |
Genre | : Business & Economics |
ISBN | : 1000859363 |
Contemporary quantitative finance connects the abstract theory and the practical use of financial innovations, such as ultra-high-frequency trading and cryptocurrencies. It teaches students how to use cutting-edge computational techniques, mathematical tools, and statistical methodologies, with a focus on real-life applications. The textbook opens with chapters on financial markets, global finance, and financial crises, setting the subject in its historical and international context. It then examines key topics in modern quantitative finance, including asset pricing, exchange-traded funds, Monte Carlo simulations, options, alternative investments, artificial intelligence, and big data analytics in finance. Complex theory is condensed to intuition, with appendices presenting advanced mathematical or statistical techniques. Each chapter offers Excel-based implementations, conceptual questions, quantitative problems, and a research project, giving students ample opportunity to develop their skills. Clear chapter objectives, summaries, and key terms also support student learning. Digital supplements, including code and PowerPoint slides, are available for instructors. Assuming some prior financial education, this textbook is suited to upper-level undergraduate and postgraduate courses in quantitative finance, financial engineering, and derivatives.
Author | : Shaen Corbet |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 220 |
Release | : 2021-12-06 |
Genre | : Business & Economics |
ISBN | : 3110718480 |
This handbook focuses on the key issues that continue to hinder the formal development of cryptocurrencies as a mainstream financial asset. It primarily examines reputationally damaging events, particularly those related to illicit behavior. The goal of the handbook is to determine whether some of these events could be mitigated by improved or at least coordinated international regulation. The handbook will be useful for specialist technical audiences such as legal, accounting and financial practices. It will also be beneficial for upper level masters and research students in economics, law, accounting, taxation, investment and portfolio management.
Author | : Christian Hafner |
Publisher | : MDPI |
Total Pages | : 218 |
Release | : 2019-07-26 |
Genre | : Business & Economics |
ISBN | : 3038979783 |
Alternative assets such as fine art, wine, or diamonds have become popular investment vehicles in the aftermath of the global financial crisis. Correlation with classical financial markets is typically low, such that diversification benefits arise for portfolio allocation and risk management. Cryptocurrencies share many alternative asset features, but are hampered by high volatility, sluggish commercial acceptance, and regulatory uncertainties. This collection of papers addresses alternative assets and cryptocurrencies from economic, financial, statistical, and technical points of view. It gives an overview of their current state and explores their properties and prospects using innovative approaches and methodologies.
Author | : Eline Van der Auwera |
Publisher | : Springer Nature |
Total Pages | : 119 |
Release | : 2020-09-20 |
Genre | : Mathematics |
ISBN | : 303051093X |
This book explores the emerging field of risk management and risk analysis of cryptocurrencies, an area that has been generating considerable research. It begins by providing an introduction to digital finance and the concept of cryptocurrencies and blockchain technologies. It then describes in detail the intrinsic risks involved in cryptocurrencies, an area that, to date, has not been fully documented or investigated. Lastly, it discusses the various types of risk, with a focus on design, operational, market and quantitative risks. Providing insights into the analysis and management of cryptocurrencies, and serving as a starting point for a more in-depth risk analysis, this book will appeal to professionals and researchers interested in familiarizing themselves with the risks in cryptocurrencies, including academics, portfolio managers, risk-managers, quants, financial professionals, regulators, economists, asset managers and traders.