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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.
Our world is experiencing increasingly complex social and environmental challenges. The prevailing business models and, to some extent, capitalism per se, are frequently blamed for these problems due to their neglect of social and environmental values in favour of financial returns. Within this context, social finance has attracted the attention of governments, organizations, entrepreneurs, and researchers as a means of mobilizing resources and innovation with the goal of establishing effective long-term solutions. This edited collection summarizes, discusses, and analyzes new innovative trends in social finance. It features contributions that aim to highlight emerging trends (products, tool...
Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illustrate the nature of financial data. The software used to obtain the data for the examples in the first chapter and for all computations and to produce the graphs is R. However discussion of R is deferred to an appendix to the first chapter, where the basics of R, especially those most relevant in financial applications, are presented and illustrated. The appendix also describes how to use R to obtain current financial...
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...
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...
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...
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Fairies have been revered and feared, sometimes simultaneously, throughout recorded history. This encyclopedia of concise entries, from the A-senee-ki-waku of northeastern North America to the Zips of Central America and Mexico, includes more than 2,500 individual beings and species of fairy and nature spirits from a wide range of mythologies and religions from all over the globe.