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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. 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.Get to grips with algorithmic trading and different ways of optimizing it.Deep dive into the vast world of machine-learning based trading.Performance metrics to look into before deciding upon any model.How real-life examples should be used to develop strategies.Build and analyze quantitative finance models using real-world examples.Explore different types of analytical techniques such as statistical analysis, time-series analysis, predictive modeling, and econometric analysis.Understand data processing and model building using R.Get to know the basics of R and how to use it in the field of Quantitative Finance.Some understanding of the basic financial concepts will be useful, though prior knowledge of R is not required.What You Will Learn Analysts who want to learn R to solve their quantitative finance problems will also find this book useful. 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.Learn various algorithmic trading techniques and ways to optimize them using the tools available in R.Understand the basics of R and how they can be applied in various Quantitative Finance scenarios.Implement machine learning, time-series analysis, algorithmic trading and moreAbout This Book