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Financial Theory with Python
Nowadays, finance, mathematics, and programming are intrinsically linked. Financial Theory with Python provides relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance.
Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, Financial Theory with Python teaches you the basics of financial economics. Written by the bestselling author of Python for Finance, Yves Hilpisch, this practical guide explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.
Draw upon mathematics to learn the foundations of financial theory and Python programming
Learn about financial theory, financial data modeling, and the use of Python for computational finance
Leverage simple economic models to better understand basic notions of finance and Python programming concepts
Utilize both static and dynamic financial modeling to address fundamental problems in finance, such as pricing, decision making, equilibrium, and asset allocation
Learn the basics of Python packages useful for financial modeling, such as NumPy, pandas, matplotlib, and SymPy
Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, Financial Theory with Python teaches you the basics of financial economics. Written by the bestselling author of Python for Finance, Yves Hilpisch, this practical guide explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.
Draw upon mathematics to learn the foundations of financial theory and Python programming
Learn about financial theory, financial data modeling, and the use of Python for computational finance
Leverage simple economic models to better understand basic notions of finance and Python programming concepts
Utilize both static and dynamic financial modeling to address fundamental problems in finance, such as pricing, decision making, equilibrium, and asset allocation
Learn the basics of Python packages useful for financial modeling, such as NumPy, pandas, matplotlib, and SymPy
201 pages, Paperback
Published December 21, 2021
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81 people want to read
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Displaying 1 of 1 review
March 11, 2022
This book is extremely mathematical-theoretical and relies on a robust understanding of linear algebra, differential equations, and high-level statistics. I'm pretty rusty on all that, so I mostly just skimmed this for deeper reading in the future once I re-develop my higher level math skills. Overall decent treatment of theoretical finance, just wish it were a bit stronger on prose-based explanations and less on mathematical formalism. Reminds me of some of the Dover math books.
Displaying 1 of 1 review