Nowadays, finance, mathematics, and programming are intrinsically
linked. This book provides the 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, this practical guide teaches you the basics of financial
economics. Written by the best-selling author of Python for Finance,
Yves Hilpisch, Financial Theory with Python 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
- Use 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
