Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
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.
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...
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...
An Introduction to Analysis of Financial Data with R
A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics...
The R Book
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and in...
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...
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...
Emerging Market Multinationals
Emerging market multinationals are becoming leaders in their industries, able to compete on equal terms with firms from advanced economies, but their paths toward global leadership are not always smooth. This book examines the specific challenges faced by emerging market multinationals as they seek to develop their international operations and proposes actionable solutions for them. The authors seamlessly combine academic analyses with a rich selection of real-world cases to provide a clear framework for understanding some of the barriers that prevent firms from emerging economies from succeeding abroad and show readers what actions can be taken to achieve sustained international growth. With clear, concise arguments and examples that bring the discussion to life, this insightful book will appeal to managers and students alike.
