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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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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

Pricing lookback options with floating strikes

The lookback options depend on the paths (history) travelled by the underlying security. Thus, they are also called path-dependent exotic options. One of them is named floating strikes. The payoff function of a call when the exercise price is the minimum price achieved during the life of the option is given as follows:

Pricing lookback options with floating strikes

The Python code for this lookback option is shown as follows:

plt.show()
def lookback_min_price_as_strike(s,T,r,sigma,n_simulation): 
    n_steps=100
    dt=T/n_steps
    total=0
    for j in range(n_simulation): 
        min_price=100000.  # a very big number 
        sT=s
        for i in range(int(n_steps)): 
            e=sp.random.normal()
            sT*=sp.exp((r-0.5*sigma*sigma)*dt+sigma*e*sp.sqrt(dt)) 
            if sT<min_price:
                min_price=sT
                #print 'j=',j,'i=',i,'total=',total 
                total+=p4f.bs_call(s,min_price,T,r,sigma)
    return total/n_simulation...
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