ABOUT THE COURSE
“Quantum Computing for Finance” is an emerging multidisciplinary field of
quantum physics, finance, mathematics, and computer science, in which quantum
computations are applied to solve complex problems.
“Introduction to Quantitative and Computational Finance” provides a basis to
step into the world of Quantum Computing for Finance. This introductory course
will develop fundamental concepts required for an understanding of quantum
algorithms and more advanced topics in computational finance. Through this
course, you will learn the basics of derivative products, the
Black-Scholes-Merton model for pricing vanilla derivatives, and how to compute
the price of exotic options with a computer. This course is designed for all
those who wish to develop their skills and start a career in quantitative
finance.
This course is the first part of the specialised training program: “Quantum
Computing for Finance”.
WHAT SKILLS YOU WILL LEARN
* The fundamentals of derivative products, their types – forwards and options,
and their pricing.
* An understanding of the Black-Scholes-Merton model, hedging and volatility
modelling.
* The computational and modelling techniques for pricing options such as
Monte-Carlo simulations and the Finite Difference method.
* A strong foundation in quantitative and computational skills for modelling
and solving complex financial problems using Python programming language.
* The skills for a career in the finance industry, including quantitative asset
management and trading, financial engineering, risk management, and applied
research.
COURSE PREREQUISITES
All potential learners should have prior knowledge of the following content
areas, either through completion of academic studies or relative professional
preparation:
* Basic calculus (partial derivatives)
* Probability theory (with an exposure to measure theory if possible)
* Basic linear algebra (matrix operations)
* Numerical Python (NumPy essentially)
The course contains several Python based programming exercises. We recommend
that you install Python on your local system to practice and implement the
programs explained throughout the course. For instructions and tutorials for
beginners, please click on the following link:
Python installation instructions and tutorials for beginners
[https://platform.qureca.com/wp-content/uploads/2020/09/python-prep.pdf]
DURATION
The estimated duration to complete this course is approximately 4 weeks
(~3hrs/week).
COURSE ASSESSMENT
To complete the course and earn certification, you must pass all the quizzes at
the end of each lesson by scoring 80% or more.
INSTRUCTORS
[https://platform.qureca.com/courses/introduction-to-quantitative-and-computational-finance/#course-section__instructors]
https://platform.qureca.com/author/kevincallaghan/
QuantFi [https://platform.qureca.com/author/kevincallaghan/]QuantFi is a French
start-up research firm formed in 2019 with the objective of using the science of
quantum computing to provide solutions to the financial services industry. With
its staff of PhD's and PhD students, QuantFi engages in fundamental and applied
research in in the field of quantum finance, collaborating with industrial
partners and universities in seeking breakthroughs in such areas as portfolio
optimisation, asset pricing, and trend detection.