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Introduction to R for Quantitative Finance
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.
Mastering R for Quantitative Finance
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.
AngularJS: Maintaining Web Applications
Get started with speed building AngularJS applications, and scale up to a full-stack web application, using the existing AngularJS framework without the trouble of migrating to Angular 2 About This Book Follow the best practices of the framework to organize and modularize your application Get to grips with Angular's Model-View-Controller architecture Create application modules with maximum reusability and extensibility Structure and use AngularJS applications in your MEAN project in your MEAN project Who This Book Is For This course is for people who want to discover how they can improve their current web applications with the existing version of Angular without having to worry much about mi...
R: Data Analysis and Visualization
Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining algorithms Use R to optimize your trading strategy and build up your own risk management system Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R Who This Book Is For This course is for data scientist or quantitative analyst who are looking at learning R and take advantage of its powerful analyt...
R语言计量金融初学指南
量化金融R语言初级教程,写给想要使用R语言完成量化金融任务的读者。学习量化金融领域强有力的工具,用R语言解决多种多样的问题 Key Features 通过实例讲解如何使用R解决各种定量问题 涵盖投资组合优化、资产定价模型、固定收益证券、估计利率期限结构、衍生品定价、信用风险管理、极值理论和金融网络等现实金融问题 Book DescriptionR是用于统计分析、绘图的语言和操作环境。它是属于GNU系统的一个自由、免费、源代码开放的软件,是一个用于统计计算和统计制图的优秀工具。 本书通过9章的内容向读者详细介绍使用R语言实现...
精通R语言
学习量化金融R语言高级教程,掌握R语言金融建模的核心技术,构建定制化的量化交易平台 Key Features R语言是数据处理的绝佳工具,将R语言引入金融定量分析可以更好地优化分析过程,高效获取分析结果。 本书是量化金融领域的R语言学习指南,通过阅读本书,读者可以了解核心的R语言建模技巧,掌握量化金融的关键技术。 Book DescriptionR是一种功能强大的开源泛函式编程语言,提供了高水平的图形和对其他语言的接口。它的优点在于数据分析、绘图、可视化以及数据操作。在科学、工程以及商业领域,R正在成为一种被广泛使用的建模工具...
Automated Trading with R
Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play. Automated Trading with R explains automated trading, starting with its mathematics and moving to its computation and execution. You will gain a unique insight into the mechanics and computational considerations taken in building a back-tester, strategy optimizer, and fully functional trading platform. The platform built in this book can serve as a complete replacement for commercially available platforms used by retail traders and small funds. Software c...
Principles of Financial Engineering
Principles of Financial Engineering, Third Edition, is a highly acclaimed text on the fast-paced and complex subject of financial engineering. This updated edition describes the "engineering" elements of financial engineering instead of the mathematics underlying it. It shows how to use financial tools to accomplish a goal rather than describing the tools themselves. It lays emphasis on the engineering aspects of derivatives (how to create them) rather than their pricing (how they act) in relation to other instruments, the financial markets, and financial market practices. This volume explains ways to create financial tools and how the tools work together to achieve specific goals. Applicati...
Learning Quantitative Finance with R
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 knowledg...
Asset Pricing
Winner of the prestigious Paul A. Samuelson Award for scholarly writing on lifelong financial security, John Cochrane's Asset Pricing now appears in a revised edition that unifies and brings the science of asset pricing up to date for advanced students and professionals. Cochrane traces the pricing of all assets back to a single idea—price equals expected discounted payoff—that captures the macro-economic risks underlying each security's value. By using a single, stochastic discount factor rather than a separate set of tricks for each asset class, Cochrane builds a unified account of modern asset pricing. He presents applications to stocks, bonds, and options. Each model—consumption ba...
