Chapter 7. Where to Go from Here?
An investment in knowledge pays the best interest.
Benjamin Franklin
Politics is for the present, but an equation is for eternity.
Albert Einstein
Congratulations. You have reached the final chapter of the book. If you have followed the chapters diligently, you have already encountered many important ideas and concepts in both financial theory and Python programming. That is great. The topics covered in this book, both with regard to breadth and depth, represent good starting points for exploring the exciting and fast-changing world of computational finance. However, there is much more to explore and learn. This final chapter provides suggestions for moving on and going deeper in one or several directions in Python for finance.
Mathematics
This book makes use of different mathematical tools and techniques, such as from linear algebra, probability theory, and optimization theory. The tools and techniques applied to financial problems are fairly standard and do not require advanced mathematical skills to be put to beneficial use with Python. However, modern finance can be considered an applied mathematics discipline, with some areas relying heavily on advanced mathematics—such as option pricing or financial risk management.
The following list provides references for several standard textbooks that can be used to improve your mathematical skills for finance:
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