|
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
|
Buy Now
Mastering Python for Finance - Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition (Paperback, 2nd Revised edition)
Loot Price: R1,200
Discovery Miles 12 000
|
|
|
Mastering Python for Finance - Implement advanced state-of-the-art financial statistical applications using Python, 2nd Edition (Paperback, 2nd Revised edition)
Expected to ship within 10 - 15 working days
|
Take your financial skills to the next level by mastering
cutting-edge mathematical and statistical financial applications
Key Features Explore advanced financial models used by the industry
and ways of solving them using Python Build state-of-the-art
infrastructure for modeling, visualization, trading, and more
Empower your financial applications by applying machine learning
and deep learning Book DescriptionThe second edition of Mastering
Python for Finance will guide you through carrying out complex
financial calculations practiced in the industry of finance by
using next-generation methodologies. You will master the Python
ecosystem by leveraging publicly available tools to successfully
perform research studies and modeling, and learn to manage risks
with the help of advanced examples. You will start by setting up
your Jupyter notebook to implement the tasks throughout the book.
You will learn to make efficient and powerful data-driven financial
decisions using popular libraries such as TensorFlow, Keras, Numpy,
SciPy, and sklearn. You will also learn how to build financial
applications by mastering concepts such as stocks, options,
interest rates and their derivatives, and risk analytics using
computational methods. With these foundations, you will learn to
apply statistical analysis to time series data, and understand how
time series data is useful for implementing an event-driven
backtesting system and for working with high-frequency data in
building an algorithmic trading platform. Finally, you will explore
machine learning and deep learning techniques that are applied in
finance. By the end of this book, you will be able to apply Python
to different paradigms in the financial industry and perform
efficient data analysis. What you will learn Solve linear and
nonlinear models representing various financial problems Perform
principal component analysis on the DOW index and its components
Analyze, predict, and forecast stationary and non-stationary time
series processes Create an event-driven backtesting tool and
measure your strategies Build a high-frequency algorithmic trading
platform with Python Replicate the CBOT VIX index with SPX options
for studying VIX-based strategies Perform regression-based and
classification-based machine learning tasks for prediction Use
TensorFlow and Keras in deep learning neural network architecture
Who this book is forIf you are a financial or data analyst or a
software developer in the financial industry who is interested in
using advanced Python techniques for quantitative methods in
finance, this is the book you need! You will also find this book
useful if you want to extend the functionalities of your existing
financial applications by using smart machine learning techniques.
Prior experience in Python is required.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
