Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Learning Quantitative Finance with R

You're reading from Learning Quantitative Finance with R Implement machine learning, time-series analysis, algorithmic trading and more

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781786462411

Length 284 pages

Edition 1st Edition

Languages

R

Concepts

Financial Technology

Authors (2):

PRASHANT VATS

Dr. Param Jeet

View More author details

Table of Contents (10) Chapters

Preface

1. Introduction to R FREE CHAPTER

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

Reader feedback

Feedback from our readers is always welcome. Let us know what you think about this book-what you liked or disliked. Reader feedback is important for us as it helps us develop titles that you will really get the most out of. To send us general feedback, simply e-mail [email protected], and mention the book's title in the subject of your message. If there is a topic that you have expertise in and you are interested in either writing or contributing to a book, see our author guide at www.packtpub.com/authors.

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Jeet

Jeet

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.

See other products by Jeet

PRASHANT VATS

PRASHANT VATS

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.

See other products by PRASHANT VATS

Other recommended products

Related to this chapter

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Python for Finance

Python for Finance

Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Python and teaches you how to work with the various Python libraries like NumPy, Scipy, Matplotlib, and Pandas for quantitative analysis. You will work with time-series data, and implement concepts like stochastics for Monte-Carlo simulation, hedging, derivatives, portfolio optimization and more.This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.

Jun 2017 19h 32m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m