To Python’s success story there has been added a new chapter: EuroScipy 2011. The conference who took place in Paris from 25.–28. August 2011 attracted researchers from diverse fields. Attendees learned how Python can be beneficially applied in such fields as physics, chemistry, biology, mechanical engineering—and finance. Dr. Yves Hilpisch gave a talk and presented a poster about the “Fast Monte Carlo Valuation of American Options with Python and Numpy”.
More and more financial institutions apply Python—but hardly ever it is used to implement computationally demanding valuation algorithms for derivative instruments. The talk and the poster of Dr. Yves Hilpisch show that Python is well suited to
- efficiently and compactly implement such algorithms (we call that Rapid Financial Engineering) and
- address computationally demanding problems (like Monte Carlo simulation in finance)
If you want to find out how you can benefit from Rapid Financial Engineering and the computing power of Python (and Numpy), just write us a brief message via the contact form.
Here you find the set of documents about “Fast Monte Carlo Valuation of American Options”:
