Certificate in Quantitative Finance (CQF) program lead by CQF Institute & Fitch Learning.
Certification given to:
- Frank Salvador Ygnacio Rosas (Cohort January 2022)
Concluded at August 22th, 2022.
Scores:
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Exam 0 - Module 1 (non-assessed evaluation) | Topic: Stochastic Calculus
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Exam 1 - Module 2 | Topic: Quantitative Risk & Return | Score: 94/100
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Exam 2 - Module 3 | Topic: Equities, Currencies and Pricing Derivatives | Score: 88/100
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Exam 3 - Module 4 & 5 | Topic: Data Science & Machine Learning | Score: 86/100
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Final Project. Title: Deep Learning for Financial Time Series. A case of study of Fractional Differentiated Features
CQF - FINAL MARK: 83/100
To double check these final marks, please see the "Result Letter and Certificate" folder in the repository. Moreover, official listing as a CQF holder can be verified at: https://www.cqf.com/why-cqf/global-alumni/alumni-listing/y?page=1.
Each folder contains:
- The original .pdf file with the exam instructions.
- A .ipynb as the base file with the exam solution.
In some cases:
- A .pdf report file with the detailed explanations of the exam solutions.
- A .zip file with extra documents (.py files, data, etc.).
IMPORTANT
Please, to display the full version of each .ipynb file (such as graphs and plots), copy its github link and paste it on https://nbviewer.org/.
Moreover, to see the .pdf files without any problem, it is advisable to use Chrome or Microsoft Edge.
Any other queries, the author can be reached at fsyrosas@outlook.com