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[PDF] Learning Quantitative Finance With R

[PDF] Learning Quantitative Finance With R

 

 

 

Learning Quantitative Finance with R

by Dr. Param Jeet

->->->->DOWNLOAD BOOK Learning Quantitative Finance with R

 

Key Features

  • 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.

Book Description

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.

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

About the Author

Dr. Param Jeet is a Ph.D. in mathematics from one of India's leading technological institute in Madras (IITM), India. Dr. Param Jeet has a couple of mathematical research papers published in various international journals. Dr. Param Jeet has been into the analytics industry for the last few years and has worked with various leading multinational companies as well as consulted few of companies as a data scientist.

Prashant Vats is a masters in mathematics from one of India's leading technological institute, IIT Mumbai. Prashant has been into analytics industry for more than 10 years and has worked with various leading multinational companies as well as consulted few of companies as data scientist across several domain.

Table of Contents

  1. Introduction to R
  2. Statistical Modeling
  3. Econometric and Wavelet Analysis
  4. Time Series Modeling
  5. Algorithmic Trading
  6. Trading Using Machine Learning
  7. Risk Management
  8. Optimization
  9. Derivative Pricing

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Learning Quantitative Finance with R Dr. Param Jeet

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Learning Quantitative Finance with R

Param Jeet is a Ph.DParam Jeet, Prashant Vats Packt Publishing 2017-03-23 284 pages Online Preview Reviews 0 Download Book Description Key Features 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 RSkip to main contentPrashant has been into analytics industry for more than 10 years and has worked with various leading multinational companies as well as consulted few of companies as data scientist across several domainThis 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.Learning Quantitative Finance with R (Kindle Edition) 5 3 months ago by Foreverloving in Books > EBooks English 23 Marwww.PacktPub.com Why subscribe? Finally, the book will explain some advanced concepts, such as trading using machine learning, optimizations, exotic options, and hedgingThis book gives you both theory and practice, all in clear language with stacks of real-world examples

 

Here are the instructions how to enable JavaScript in your web browserParam Jeet is a Ph.DCopyright finance-r.com 2012-2017 By the end of this book, you will have a firm grasp of the techniques required to implement basic quantitative finance models in RDerivative Pricing Book Details Title: Learning Quantitative Finance with R Author: Dr 10 VIP 10 VIP Fox eBook Toggle navigation Books VIP Books Audiobook Biographies Business Computers & Internet Cooking & Food Economics Fiction Health History Languages Others Politics Science Sports Travel Wish List Books Publishers Authors Tags Top Sellers Most Reviews New Release Contact Dr                  010-6271993513661292478 QQ2881989700 servicepinggu.org 010-68466864 ICP16021002-2 ICP090565 11010802022788 4000-51-9191

 

. //wp //wp 0.0 0.00 VIP CDA bbs VIP CDA If you are interested in joining one of the workshops or if you want to organize an in-house workshop for your company, please follow the link below or contact us(707) 827-7019(800) 889-8969 All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners› Learning Quantitative Finance with R Learning Quantitative Finance with R.rar 4.73 MB VIP  APPAPP 1Econometric and Wavelet Analysis Chapter 4

 

Econometric and Wavelet Analysis Simple linear regression Scatter plot Coefficient of determination Significance test Confidence interval for linear regression model Residual plot Normality distribution of errors Multivariate linear regression Coefficient of determination Confidence interval Multicollinearity ANOVA Feature selection Removing irrelevant features Stepwise variable selection Variable selection by classification Ranking of variables Wavelet analysis Fast Fourier transformation Hilbert transformation Questions Summary Book Details ISBN 139781786462411 Paperback284 pages Book Description 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 banksLearning Quantitative Finance with R Implement machine learning, time-series analysis, algorithmic trading and more Learning Quantitative Finance with R This ebook is included in a Mapt subscription DrDrWho This Book Is For If you want to learn how to use R to build quantitative finance models with ease, this book is for youWe'll also look at risk management and optimization techniques for algorithmic tradingAlgorithmic Trading Chapter 6 171bf2437f

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