Published on: 2024-10-14 22:27:54
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Financial Engineering and Risk Management is a training package in Financial Engineering and Investment Capital Management published by Coursera Academy. This training package consists of five completely independent courses that have different topics such as derivative pricing (derivative pricing), asset allocation (asset allocation), basket and portfolio optimization, natural authority (real), energy (energy) . (Derivatives), goods, algorithms and machines, etc. are included. All taught topics are practical and can be used to solve educational and industrial challenges.
Publisher: Coursera
Instructors: Ali Hirsa, Garud Iyengar and Martin Haugh
Language: English
Level: Intermediate
institution/university: Columbia University
Number of Courses: 5
Duration: 2 months at 10 hours a week
What background knowledge is necessary?
Students should at some point have taken intermediate to advanced undergraduate courses in: (i) probability and statistics, (ii) linear algebra, and (iii) calculus. With regards to programming, we have designed the course so that all required “programming” questions can all be completed within Excel and Python. That said, students are welcome to complete the assignments using their software / programming languages of choice. It would also be very helpful if people have had some prior exposure to an introductory finance course. In particular, students should know what interest rates are, understand discounting and compounding, and have some basic familiarity with option, futures etc.
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English subtitle
Quality: 720p
This Specialization contain 5 courses.
Introduction to Financial Engineering and Risk Management
Term-Structure and Credit Derivatives
Optimization Methods in Asset Management
Advanced Topics in Derivative Pricing
Computational Methods in Pricing and Model Calibration
In total, about 3.6 GB
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