Coursera – Financial Engineering and Risk Management Specialization 2024-10
Coursera – Financial Engineering and Risk Management Specialization 2024-10 Downloadly IRSpace
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.
What you will learn in Financial Engineering and Risk Management Specialization
- Quantitative Analysis
- Asset Allocation
- Algorithmic trading
- Investment portfolio optimization
- financial mathematics
- Derivatives
- Swaps and options deals
- Fixed income securities
- Two-sentence distribution
- Black-Scholes model
- Types of derivatives and applications of each
- Stochastic models
- Development of a systematic and data-driven approach to design and adjust models for calculating returns and returns and the amount of risk in complex and multifaceted investments
- Backtesting of various investment and trading models
Course Specifications
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
Courses included:

Prerequisites
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.
Pictures

Financial Engineering and Risk Management Specialization Introduction Video
Installation Guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
This Specialization contain 5 courses.
Download Links
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
Size
In total, about 3.6 GB
Super Admin