Thank you for taking the time to visit this page! ??
I am a strong contributor within the open-source community through my own open-source packages making financial theory easy to understand and work with and through my time at
OpenBB
in which I've contributed millions of lines of code. This is a passion of mine, bringing Python and Finance together.
I am actively expanding and maintaining the following open-source packages:
- FinanceToolkit
which gives access to all relevant financial ratios (150+), indicators and performance measurements which are written down in the most simplistic way allowing for complete transparency of the calculation method. It has over 2K Stars.
- FinanceDatabase
which features 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. It therefore allows you to obtain a broad overview of sectors, industries, types of investments and much more. It has over 2.5k Stars.
- ThePassiveInvestor
which allows you to screen various ETFs and do quick comparisons for the most important metrics. It has nearly 500 Stars.
By sponsoring me
, you'll allow me to spend more of my time working on expanding these packages with new financial theory implemented, technical functionalities and much more.
About Me
I’m Jeroen Bouma, a Financial Risk Analyst at A.S.R., one of the largest Dutch insurance companies with over €120 billion AUM. I analyze profitability and investment risks in different risk frameworks (Solvency II and internal models), provide insights into portfolio sensitivities and their relationship with liabilities, assess the impact of month-to-month changes and offer a major contribution to the development of Python models for improved valuation and financial risk measurement.
I joined A.S.R. after working at OpenBB, an innovative open-source company transforming investment research, and PGGM, a prominent Dutch pension fund managing over €300 billion. What ties these experiences together, and reflects my own passion, is the incorporation of (advanced) Python modeling within Quantitative Finance.
I thrive in the realm where advanced financial modeling meets making sense of the financial markets. The financial world is primarily shaped by human behavior and often driven by emotions rather than rationality. As predicting the future is incredibly challenging, if not impossible, and investment approaches needing to rely on current and past observations, it opens up room for extensive discussions around assumptions, input for econometric models, and interpretation of their model’s output. This intersection captivates me the most and has been a consistent theme throughout my academic and professional journey.
I also own a
Buy Me a Coffee page
and therefore I don't want to forget the sponsors on this page. Therefore, thank you financial_mod, didierlopes, Vivek R. Dabholkar and the anonymous sponsors for supporting my work!
