Coursera – Specialization in Financial Engineering and Risk Management 2022-3 – Download

Description

Financial Engineering and Risk Management is a financial engineering and investment capital management training program published by Coursera Academy. This training module consists of five completely independent courses that cover different topics such as derivatives pricing (derivatives pricing), asset allocation (asset allocation), basket and portfolio optimization, natural (real) authority, energy (energy). , (Derivatives), goods, algorithms and machines, etc. are included. All topics taught are practical and can be used to solve educational and industrial challenges.

What you will learn in the Financial Engineering and Risk Management specialization

Quantitative analysis
Asset Allocation
algorithmic trading
investment portfolio optimization
financial mathematics
derivatives
Swaps and options offers
Fixed income securities
Distribution in two sentences
Black-Scholes model
Types of derivatives and applications of each
stochastic models
Development of a systematic and data-driven approach to designing and adjusting models for calculating returns and the amount of risk in complex and multifaceted investments.
Backtesting various investment and trading models

Course Specifications

Editor: Coursera
Instructors: Ali Hirsa, Garuda Iyengar And Martin Hugues
French language
Intermediate level
institution/university: Columbia University
Number of lessons: 5
Duration: Approximately 7 months to complete – Suggested pace of 3 hours/week

Courses included:

Course 1

Introduction to financial engineering and risk management

Course 2

Term structure and credit derivatives

Course 3

Optimization methods in asset management

Course 4

Advanced Topics in Derivatives Pricing

Course 5

Calculation Methods for Pricing and Model Calibration

Preconditions

What basic knowledge is needed?

Students should at some point have taken intermediate to advanced undergraduate courses in the following areas: (i) probability and statistics, (ii) linear algebra, and (iii) calculus. When it comes to programming, we have designed the course in such a way that all of the required “programming” questions can all be completed in Excel and Python. That said, students are welcome to complete the assignments using the software/programming language of their choice. It would also be very helpful if people have already been exposed to an introductory finance course. In particular, students should know what interest rates are, understand discounting and compounding, and have some basic knowledge of options, futures, etc.