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Python for Finance

You're reading from   Python for Finance If your interest is finance and trading, then using Python to build a financial calculator makes absolute sense. As does this book which is a hands-on guide covering everything from option theory to time series.

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Product type Paperback
Published in Apr 2014
Publisher
ISBN-13 9781783284375
Length 408 pages
Edition 1st 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 (14) Chapters Close

Preface 1. Introduction and Installation of Python 2. Using Python as an Ordinary Calculator FREE CHAPTER 3. Using Python as a Financial Calculator 4. 13 Lines of Python to Price a Call Option 5. Introduction to Modules 6. Introduction to NumPy and SciPy 7. Visual Finance via Matplotlib 8. Statistical Analysis of Time Series 9. The Black-Scholes-Merton Option Model 10. Python Loops and Implied Volatility 11. Monte Carlo Simulation and Options 12. Volatility Measures and GARCH Index

Various trading strategies

In the following table, we will summarize several commonly used trading strategies involving various types of options:

Names

Description

Direction of initial cash flow

Expectation of future price movement

Bull spread with calls

Buy a call (x1) sell a call (x2) [x1 < x2]

Outflow

Rise

Bull spread with puts

Buy a put (x1), sell a put (x2) [x1 < x2]

Inflow

Rise

Bear spread with puts

Buy a put (x2), sell a put (x1) [x1 < x2]

Outflow

Fall

Bear spread with calls

Buy a call (x2), sell a call (x1) [x1 < x2]

Inflow

Fall

Straddle

Buy a call and sell a put with the same x value

Outflow

Rise or fall

Strip

Buy two puts and a call (with the same x value)

Outflow

prob (fall) > prob (rise)

Strap

Buy two calls and one put (with the same x value)

Outflow

prob (rise) > prob (fall)

Strangle

Buy a call (x2) and buy a put (x1) [x1 < x2]

Outflow

rise or fall

Butterfly with calls

Buy two calls (x1, x3) and sell two calls (x2) Various trading strategies

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