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Python for Finance
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Python for Finance
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Overview of this book
A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.
Table of Contents (14 chapters)
Preface
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1. Introduction and Installation of Python
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2. Using Python as an Ordinary Calculator
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3. Using Python as a Financial Calculator
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4. 13 Lines of Python to Price a Call Option
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5. Introduction to Modules
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6. Introduction to NumPy and SciPy
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7. Visual Finance via Matplotlib
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8. Statistical Analysis of Time Series
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9. The Black-Scholes-Merton Option Model
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10. Python Loops and Implied Volatility
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11. Monte Carlo Simulation and Options
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12. Volatility Measures and GARCH
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Index
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