Book Image

Python for Finance - Second Edition

By : Yuxing Yan
5 (1)
Book Image

Python for Finance - Second Edition

5 (1)
By: Yuxing Yan

Overview of this book

This book uses Python as its computational tool. Since Python is free, any school or organization can download and use it. This book is organized according to various finance subjects. In other words, the first edition focuses more on Python, while the second edition is truly trying to apply Python to finance. The book starts by explaining topics exclusively related to Python. Then we deal with critical parts of Python, explaining concepts such as time value of money stock and bond evaluations, capital asset pricing model, multi-factor models, time series analysis, portfolio theory, options and futures. This book will help us to learn or review the basics of quantitative finance and apply Python to solve various problems, such as estimating IBM’s market risk, running a Fama-French 3-factor, 5-factor, or Fama-French-Carhart 4 factor model, estimating the VaR of a 5-stock portfolio, estimating the optimal portfolio, and constructing the efficient frontier for a 20-stock portfolio with real-world stock, and with Monte Carlo Simulation. Later, we will also learn how to replicate the famous Black-Scholes-Merton option model and how to price exotic options such as the average price call option.
Table of Contents (23 chapters)
Python for Finance Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Definition of IRR and IRR rule


The Internal Rate of Return (IRR) is defined as the discount rate that makes NPV equal zero. Assume that we invest $100 today and the future cash flows will be $30, $40, $40, and $50 for the next four years. Assuming that all cash flows happen at the end of the year, what is the IRR for this investment? In the following program, the scipy.irr() function is applied:

>>>import scipy as sp
>>> cashflows=[-100,30,40,40,50]
>>> sp.irr(cashflows)
       0.2001879105140867

We could verify whether such a rate does make NPV equal zero. Since the NPV is zero, 20.02% is indeed an IRR:

>>> r=sp.irr(cashflows)
>>> sp.npv(r,cashflows)
    1.7763568394002505e-14
>>>

For a normal project, the IRR rule is given here:

Here, Rc is the cost of capital. This IRR rule holds only for a normal project. Let's look at the following investment opportunity. The initial investment is $100 today and $50 next year. The cash inflows for the...