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Python for Finance

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

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Product type Paperback
Published in Jun 2017
Publisher
ISBN-13 9781787125698
Length 586 pages
Edition 2nd Edition
Languages
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Author (1):
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Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
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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

Definition of payback period and payback period rule

A payback period is defined as the number of years needed to recover the initial investment. Assume that the initial investment is $100. If every year the firm could recover $30, then the payback period is 3.3 years:

>>import fincal
>>>cashflows=[-100,30,30,30,30,30]
>>> fincal.payback_period(cashflows)
    3.3333333333333335

The decision rule for the payback rule is given here:

Definition of payback period and payback period rule

Here, T is the payback period for a project while Tc is the maximum number of years required to recover the initial investment. Thus, if Tc is four, the preceding project with a payback period of 3.3 should be accepted.

The major advantage of the payback period rule is its simplicity. However, there are many shortcomings for such a rule. First, it does not consider the time value of money. In the previous case, $30 received at the end of the first year is the same as $30 received today. Second, any cash flows after the payback period is ignored...

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