-PDF Download- Quantitative Finance With R And Cryptocurrencies EBOOK

Quantitative Finance with R and Cryptocurrencies

Author: Dean Fantazzini

Publisher: Independently Published

Published: 2019-05-20

Total Pages: 588

ISBN-13: 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.

Quantitative Trading with R

Author: Harry Georgakopoulos

Publisher: Springer

Published: 2015-02-02

Total Pages: 364

ISBN-13: 1137437472

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Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source programming language, providing readers with a step-by-step approach to understanding complex quantitative finance problems and building functional computer code.

Mastering R for Quantitative Finance

Author: Edina Berlinger

Publisher: Packt Publishing Ltd

Published: 2015-03-10

Total Pages: 362

ISBN-13: 1783552085

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This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R.

Education, Research and Business Technologies

Author: Cristian Ciurea

Publisher: Springer Nature

Published: 2023-01-01

Total Pages: 374

ISBN-13: 9811967555

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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.

Quantitative Finance For Dummies

Author: Steve Bell

Publisher: John Wiley & Sons

Published: 2016-06-07

Total Pages: 408

ISBN-13: 1118769430

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An accessible, thorough introduction to quantitative finance Does the complex world of quantitative finance make you quiver?You're not alone! It's a tough subject for even high-levelfinancial gurus to grasp, but Quantitative Finance ForDummies offers plain-English guidance on making sense ofapplying mathematics to investing decisions. With this completeguide, you'll gain a solid understanding of futures, options andrisk, and get up-to-speed on the most popular equations, methods,formulas and models (such as the Black-Scholes model) that areapplied in quantitative finance. Also known as mathematical finance, quantitative finance is thefield of mathematics applied to financial markets. It's a highlytechnical discipline—but almost all investment companies andhedge funds use quantitative methods. This fun and friendly guidebreaks the subject of quantitative finance down to easilydigestible parts, making it approachable for personal investors andfinance students alike. With the help of Quantitative FinanceFor Dummies, you'll learn the mathematical skills necessary forsuccess with quantitative finance, the most up-to-date portfolioand risk management applications and everything you need to knowabout basic derivatives pricing. Covers the core models, formulas and methods used inquantitative finance Includes examples and brief exercises to help augment yourunderstanding of QF Provides an easy-to-follow introduction to the complex world ofquantitative finance Explains how QF methods are used to define the current marketvalue of a derivative security Whether you're an aspiring quant or a top-tier personalinvestor, Quantitative Finance For Dummies is your go-toguide for coming to grips with QF/risk management.

Introduction to R for Quantitative Finance

Author: Gergely Daróczi

Publisher: Packt Publishing Ltd

Published: 2013-11-22

Total Pages: 253

ISBN-13: 1783280948

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This book is a tutorial guide for new users that aims to help you understand the basics of and become accomplished with the use of R for quantitative finance.If you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful content for both the R beginner and more experience users.

Advanced Studies of Financial Technologies and Cryptocurrency Markets

Author: Lukáš Pichl

Publisher: Springer Nature

Published: 2020-07-29

Total Pages: 256

ISBN-13: 9811544980

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This book shows that research contributions from different fields—finance, economics, computer sciences, and physics—can provide useful insights into key issues in financial and cryptocurrency markets. Presenting the latest empirical and theoretical advances, it helps readers gain a better understanding of financial markets and cryptocurrencies. Bitcoin was the first cryptocurrency to use a peer-to-peer network to prevent double-spending and to control its issue without the need for a central authority, and it has attracted wide public attention since its introduction. In recent years, the academic community has also started gaining interest in cyptocurrencies, and research in the field has grown rapidly. This book presents is a collection of the latest work on cryptocurrency markets and the properties of those markets. This book will appeal to graduate students and researchers from disciplines such as finance, economics, financial engineering, computer science, physics and applied mathematics working in the field of financial markets, including cryptocurrency markets.

The importance of being informed: Forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades

Author: Dean Fantazzini

Publisher: Litres

Published: 2022-01-29

Total Pages: 27

ISBN-13: 5042017135

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This paper focuses on the forecasting of market risk measures for the Russian RTS index future, and examines whether augmenting a large class of volatility models with implied volatility and Google Trends data improves the quality of the estimated risk measures. We considered a time sample of daily data from 2006 till 2019, which includes several episodes of large-scale turbulence in the Russian future market. We found that the predictive power of several models did not increase if these two variables were added, but actually decreased.The worst results were obtained when these two variables were added jointly and during periods of high volatility, when parameters estimates became very unstable. Moreover, several models augmented with these variables did not reach numerical convergence. Our empirical evidence shows that, in the case of Russian future markets, TGARCH models with implied volatility and Student’s t errors are better choices if robust market risk measures are of concern.

Digital Transformation on Manufacturing, Infrastructure & Service

Author: Igor Ilin

Publisher: Springer Nature

Published: 2023-06-15

Total Pages: 1031

ISBN-13: 3031327195

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This book contains theoretical, econometric, experimental, and policy-oriented contributions of the DTMIS conference participants. Every year the DTMIS conference brings together experts from academia and industry to uncover the challenges and solutions to ensuring digital transformation on manufacturing, infrastructure, and service. The DTMIS proceedings is distinguished by the fact that it contains works not only by scientists, but also by practitioners in the industry, and, of course, their collaboration works are of particular and undeniable value. This book is useful for experienced scientists and practitioners who seek to find something new for themselves and apply it in their work, as well as for students at the beginning of their scientific activity.

Understanding cryptocurrency fraud

Author: Shaen Corbet

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2021-12-06

Total Pages: 220

ISBN-13: 3110718480

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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.