Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python for Finance

You're reading from   Python for Finance Apply powerful finance models and quantitative analysis with Python

Arrow left icon
Product type Paperback
Published in Jun 2017
Publisher
ISBN-13 9781787125698
Length 586 pages
Edition 2nd Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface 1. Python Basics FREE CHAPTER 2. Introduction to Python Modules 3. Time Value of Money 4. Sources of Data 5. Bond and Stock Valuation 6. Capital Asset Pricing Model 7. Multifactor Models and Performance Measures 8. Time-Series Analysis 9. Portfolio Theory 10. Options and Futures 11. Value at Risk 12. Monte Carlo Simulation 13. Credit Risk Analysis 14. Exotic Options 15. Volatility, Implied Volatility, ARCH, and GARCH Index

Writing a Python function

Assume that we are interested in writing a Python function for equation (1).

After launching Spyder, click File, then New File. We write the following two lines, as shown in the left panel. The keyword def is for function,fv_f is the function name, and the three values of pv, r , and n in the pair of parentheses are input variables.

The colon (:) indicates the function hasn't finished yet. After we hit the Enter key, the next line will be automatically indented.

After we enter return pv*(1+r)**n and hit the Enter key twice, this simple program is completed. Obviously, for the second line, ** represents a power function.

Assume that we save it under c:/temp/temp.py:

Writing a Python function

To run or debug the program, click the arrow key under Run on the menu bar; see the preceding top-right image. The compiling result is shown by the bottom image right (the second image on top right). Now, we can use this function easily by calling it with three input values:

>>>fv_f(100,0.1,2)
     121.00000000000001
>>>fv_f(100,0.02,20)
    148.59473959783548

If some comments are added by explaining the meanings of input variables, the formula used, plus a few examples, it will be extremely helpful for other users or programmers. Check the following program with comments:

def pv_f(fv,r,n):
    """Objective: estimate present value
                     fv
    formula  : pv=-------------
                   (1+r)^n
          fv: fture value
          r : discount periodic rate
          n : number of periods

    Example #1  >>>pv_f(100,0.1,1)
                   90.9090909090909
    
    Example #2: >>>pv_f(r=0.1,fv=100,n=1)
                    90.9090909090909
    """
    return fv/(1+r)**n

The comments or explanations are included in a pair of three double quotation marks (""" and """). The indentation within a comment is not consequential. When compiling, the underlying software will ignore all comments. The beauty of those comments is that we can use help(pv_f) to see them, as illustrated here:

Writing a Python function

In Chapter 2, Introduction to Python Modules, we will show how to upload a financial calculator written in Python, and in Chapter 3, Time Value of Money, we will explain how to generate such a financial calculator.

You have been reading a chapter from
Python for Finance - Second Edition
Published in: Jun 2017
Publisher:
ISBN-13: 9781787125698
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
Renews at $19.99/month. Cancel anytime