Quantitative Finance With R And Cryptocurrencies

Download Quantitative Finance With R And Cryptocurrencies full books in PDF, epub, and Kindle. Read online Quantitative Finance With R And Cryptocurrencies ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Quantitative Finance with R and Cryptocurrencies

Author : Dean Fantazzini
Publisher : Independently Published
ISBN 13 : 9781090685315
Total Pages : 588 pages
Book Rating : 4.6/5 (853 download)

DOWNLOAD NOW!

Book Synopsis Quantitative Finance with R and Cryptocurrencies by : Dean Fantazzini

Download or read book Quantitative Finance with R and Cryptocurrencies written by Dean Fantazzini and published by Independently Published. This book was released on 2019-05-20 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 1137437472
Total Pages : 281 pages
Book Rating : 4.1/5 (374 download)

DOWNLOAD NOW!

Book Synopsis Quantitative Trading with R by : Harry Georgakopoulos

Download or read book Quantitative Trading with R written by Harry Georgakopoulos and published by Springer. This book was released on 2015-02-02 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 1783552085
Total Pages : 362 pages
Book Rating : 4.7/5 (835 download)

DOWNLOAD NOW!

Book Synopsis Mastering R for Quantitative Finance by : Edina Berlinger

Download or read book Mastering R for Quantitative Finance written by Edina Berlinger and published by Packt Publishing Ltd. This book was released on 2015-03-10 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Blockchain, Digital Finance, and Inclusion, Volume 1

Author : David Lee Kuo Chuen
Publisher : Academic Press
ISBN 13 : 0128104422
Total Pages : 484 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Blockchain, Digital Finance, and Inclusion, Volume 1 by : David Lee Kuo Chuen

Download or read book Handbook of Blockchain, Digital Finance, and Inclusion, Volume 1 written by David Lee Kuo Chuen and published by Academic Press. This book was released on 2017-08-03 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Learning Quantitative Finance with R

Author : Dr. Param Jeet
Publisher : Packt Publishing Ltd
ISBN 13 : 1786465256
Total Pages : 276 pages
Book Rating : 4.7/5 (864 download)

DOWNLOAD NOW!

Book Synopsis Learning Quantitative Finance with R by : Dr. Param Jeet

Download or read book Learning Quantitative Finance with R written by Dr. Param Jeet and published by Packt Publishing Ltd. This book was released on 2017-03-23 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement machine learning, time-series analysis, algorithmic trading and more About This Book Understand the basics of R and how they can be applied in various Quantitative Finance scenarios Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. Contain different methods to manage risk and explore trading using Machine Learning. Who This Book Is For If you want to learn how to use R to build quantitative finance models with ease, this book is for you. Analysts who want to learn R to solve their quantitative finance problems will also find this book useful. Some understanding of the basic financial concepts will be useful, though prior knowledge of R is not required. What You Will Learn Get to know the basics of R and how to use it in the field of Quantitative Finance Understand data processing and model building using R Explore different types of analytical techniques such as statistical analysis, time-series analysis, predictive modeling, and econometric analysis Build and analyze quantitative finance models using real-world examples How real-life examples should be used to develop strategies Performance metrics to look into before deciding upon any model Deep dive into the vast world of machine-learning based trading Get to grips with algorithmic trading and different ways of optimizing it Learn about controlling risk parameters of financial instruments In Detail The role of a quantitative analyst is very challenging, yet lucrative, so there is a lot of competition for the role in top-tier organizations and investment banks. This book is your go-to resource if you want to equip yourself with the skills required to tackle any real-world problem in quantitative finance using the popular R programming language. You'll start by getting an understanding of the basics of R and its relevance in the field of quantitative finance. Once you've built this foundation, we'll dive into the practicalities of building financial models in R. This will help you have a fair understanding of the topics as well as their implementation, as the authors have presented some use cases along with examples that are easy to understand and correlate. We'll also look at risk management and optimization techniques for algorithmic trading. Finally, the book will explain some advanced concepts, such as trading using machine learning, optimizations, exotic options, and hedging. By the end of this book, you will have a firm grasp of the techniques required to implement basic quantitative finance models in R. Style and approach This book introduces you to the essentials of quantitative finance with the help of easy-to-understand, practical examples and use cases in R. Each chapter presents a specific financial concept in detail, backed with relevant theory and the implementation of a real-life example.

Introduction to R for Quantitative Finance

Author : Gergely Daróczi
Publisher : Packt Publishing Ltd
ISBN 13 : 1783280948
Total Pages : 253 pages
Book Rating : 4.7/5 (832 download)

DOWNLOAD NOW!

Book Synopsis Introduction to R for Quantitative Finance by : Gergely Daróczi

Download or read book Introduction to R for Quantitative Finance written by Gergely Daróczi and published by Packt Publishing Ltd. This book was released on 2013-11-22 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Quantitative Methods in Finance using R

Author : John Fry
Publisher : McGraw-Hill Education (UK)
ISBN 13 : 0335251277
Total Pages : 264 pages
Book Rating : 4.3/5 (352 download)

DOWNLOAD NOW!

Book Synopsis Quantitative Methods in Finance using R by : John Fry

Download or read book Quantitative Methods in Finance using R written by John Fry and published by McGraw-Hill Education (UK). This book was released on 2022-07-04 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: “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.

Financial Data Resampling for Machine Learning Based Trading

Author : Tomé Almeida Borges
Publisher : Springer Nature
ISBN 13 : 3030683796
Total Pages : 93 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Financial Data Resampling for Machine Learning Based Trading by : Tomé Almeida Borges

Download or read book Financial Data Resampling for Machine Learning Based Trading written by Tomé Almeida Borges and published by Springer Nature. This book was released on 2021-02-22 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boosting, Logistic Regression, Random Forest and Support Vector Classifier to trade with several cryptocurrencies. A new method for resampling financial data is presented as alternative to the classical time sampled data commonly used in financial market trading. The new resampling method uses a closing value threshold to resample the data creating a signal better suited for financial trading, thus achieving higher returns without increased risk. The performance of the algorithm with the new resampling method and the classical time sampled data are compared and the advantages of using the system developed in this work are highlighted.

An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain

Author : Satya Chakravarty
Publisher : Emerald Group Publishing
ISBN 13 : 1789738938
Total Pages : 208 pages
Book Rating : 4.7/5 (897 download)

DOWNLOAD NOW!

Book Synopsis An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain by : Satya Chakravarty

Download or read book An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain written by Satya Chakravarty and published by Emerald Group Publishing. This book was released on 2020-08-20 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learning Quantitative Finance with R

Author : Dr Param Jeet
Publisher : Packt Publishing
ISBN 13 : 9781786462411
Total Pages : 284 pages
Book Rating : 4.4/5 (624 download)

DOWNLOAD NOW!

Book Synopsis Learning Quantitative Finance with R by : Dr Param Jeet

Download or read book Learning Quantitative Finance with R written by Dr Param Jeet and published by Packt Publishing. This book was released on 2017-03-23 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement machine learning, time-series analysis, algorithmic trading and moreAbout This Book- Understand the basics of R and how they can be applied in various Quantitative Finance scenarios- Learn various algorithmic trading techniques and ways to optimize them using the tools available in R.- Contain different methods to manage risk and explore trading using Machine Learning.Who This Book Is ForIf you want to learn how to use R to build quantitative finance models with ease, this book is for you. Analysts who want to learn R to solve their quantitative finance problems will also find this book useful. Some understanding of the basic financial concepts will be useful, though prior knowledge of R is not required.What You Will Learn- Get to know the basics of R and how to use it in the field of Quantitative Finance- Understand data processing and model building using R- Explore different types of analytical techniques such as statistical analysis, time-series analysis, predictive modeling, and econometric analysis- Build and analyze quantitative finance models using real-world examples- How real-life examples should be used to develop strategies- Performance metrics to look into before deciding upon any model- Deep dive into the vast world of machine-learning based trading- Get to grips with algorithmic trading and different ways of optimizing it- Learn about controlling risk parameters of financial instrumentsIn DetailThe role of a quantitative analyst is very challenging, yet lucrative, so there is a lot of competition for the role in top-tier organizations and investment banks. This book is your go-to resource if you want to equip yourself with the skills required to tackle any real-world problem in quantitative finance using the popular R programming language.You'll start by getting an understanding of the basics of R and its relevance in the field of quantitative finance. Once you've built this foundation, we'll dive into the practicalities of building financial models in R. This will help you have a fair understanding of the topics as well as their implementation, as the authors have presented some use cases along with examples that are easy to understand and correlate.We'll also look at risk management and optimization techniques for algorithmic trading. Finally, the book will explain some advanced concepts, such as trading using machine learning, optimizations, exotic options, and hedging.By the end of this book, you will have a firm grasp of the techniques required to implement basic quantitative finance models in R.Style and approachThis book introduces you to the essentials of quantitative finance with the help of easy-to-understand, practical examples and use cases in R. Each chapter presents a specific financial concept in detail, backed with relevant theory and the implementation of a real-life example.

Introduction to R for Quantitative Finance

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Introduction to R for Quantitative Finance by :

Download or read book Introduction to R for Quantitative Finance written by and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Studies of Financial Technologies and Cryptocurrency Markets

Author : Lukáš Pichl
Publisher : Springer
ISBN 13 : 9789811545009
Total Pages : 256 pages
Book Rating : 4.5/5 (45 download)

DOWNLOAD NOW!

Book Synopsis Advanced Studies of Financial Technologies and Cryptocurrency Markets by : Lukáš Pichl

Download or read book Advanced Studies of Financial Technologies and Cryptocurrency Markets written by Lukáš Pichl and published by Springer. This book was released on 2021-07-31 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Financial Modeling Using R

Author : Yuxing Yan
Publisher :
ISBN 13 : 9781946946454
Total Pages : 462 pages
Book Rating : 4.9/5 (464 download)

DOWNLOAD NOW!

Book Synopsis Financial Modeling Using R by : Yuxing Yan

Download or read book Financial Modeling Using R written by Yuxing Yan and published by . This book was released on 2017-07-10 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a programming book written by a finance professor. This book will be an ideal textbook for many quantitative finance courses, such as (next generation) financial modeling, portfolio theory, empirical research in finance, computational finance, and risk management. The book has three unique characteristics: (1) use free software; (2) combine programming with various finance theories, such as ratio analysis, CAPM, Fama-French 5-factor model, portfolio theory, options and futures, credit analysis, VaR (Value at Risk), and Monte Carlo Simulation; and (3) download and process publicly available financial and economic data from various sources, such as Yahoo! Finance, Google Finance, FRED (Federal Reserve Bank's Economic Data Library), SEC, and Prof. French's Data Library

The Future of Finance

Author : Henri Arslanian
Publisher : Springer
ISBN 13 : 3030145336
Total Pages : 318 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis The Future of Finance by : Henri Arslanian

Download or read book The Future of Finance written by Henri Arslanian and published by Springer. This book was released on 2019-07-15 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written jointly by an engineer and artificial intelligence expert along with a lawyer and banker, is a glimpse on what the future of the financial services will look like and the impact it will have on society. The first half of the book provides a detailed yet easy to understand educational and technical overview of FinTech, artificial intelligence and cryptocurrencies including the existing industry pain points and the new technological enablers. The second half provides a practical, concise and engaging overview of their latest trends and their impact on the future of the financial services industry including numerous use cases and practical examples. The book is a must read for any professional currently working in finance, any student studying the topic or anyone curious on how the future of finance will look like.

Handbook of Digital Currency

Author :
Publisher : Academic Press
ISBN 13 : 0128023511
Total Pages : 613 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Digital Currency by :

Download or read book Handbook of Digital Currency written by and published by Academic Press. This book was released on 2015-05-05 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incorporating currencies, payment methods, and protocols that computers use to talk to each other, digital currencies are poised to grow in use and importance. The Handbook of Digital Currency gives readers a way to learn about subjects outside their specialties and provides authoritative background and tools for those whose primary source of information is journal articles. Taking a cross-country perspective, its comprehensive view of the field includes history, technicality, IT, finance, economics, legal, tax and regulatory environment. For those who come from different backgrounds with different questions in mind, The Handbook of Digital Currency is an essential starting point. Discusses all major strategies and tactics associated with digital currencies, their uses, and their regulations Presents future scenarios for the growth of digital currencies Written for regulators, crime prevention units, tax authorities, entrepreneurs, micro-financiers, micro-payment businesses, cryptography experts, software developers, venture capitalists, hedge fund managers, hardware manufacturers, credit card providers, money changers, remittance service providers, exchanges, and academics Winner of the 2015 "Outstanding Business Reference Source" by the Reference and User Services Association (RUSA)

Alternative Assets and Cryptocurrencies

Author : Christian Hafner
Publisher : MDPI
ISBN 13 : 3038979783
Total Pages : 218 pages
Book Rating : 4.0/5 (389 download)

DOWNLOAD NOW!

Book Synopsis Alternative Assets and Cryptocurrencies by : Christian Hafner

Download or read book Alternative Assets and Cryptocurrencies written by Christian Hafner and published by MDPI. This book was released on 2019-07-26 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Finance with R

Author : Rituparna Sen
Publisher : Springer Nature
ISBN 13 : 9811920087
Total Pages : 352 pages
Book Rating : 4.8/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Computational Finance with R by : Rituparna Sen

Download or read book Computational Finance with R written by Rituparna Sen and published by Springer Nature. This book was released on 2023-05-16 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book prepares students to execute the quantitative and computational needs of the finance industry. The quantitative methods are explained in detail with examples from real financial problems like option pricing, risk management, portfolio selection, etc. Codes are provided in R programming language to execute the methods. Tables and figures, often with real data, illustrate the codes. References to related work are intended to aid the reader to pursue areas of specific interest in further detail. The comprehensive background with economic, statistical, mathematical, and computational theory strengthens the understanding. The coverage is broad, and linkages between different sections are explained. The primary audience is graduate students, while it should also be accessible to advanced undergraduates. Practitioners working in the finance industry will also benefit.