Description
Financial Derivatives: A Quantitative Finance View is a course on derivatives and financial mathematics published by Udemy Academy. In this course, educational topics such as Futures, Futures, Swaps, Options, Earnings are expressed and the Python programming language is used to perform various calculations and analysis. Analytics (quantitative analysis) is one of the most popular positions in investment banks, investment funds and financial companies, and experts in this field must be proficient in various areas of data analysis, of data science, mathematics and economics. This is a position from a technical department in the field of analytical model design and development and a theoretical department in the field of economic analysis and investment, and this training will give you will allow exchanges between these two departments.
Financial engineering and quantitative analysis are two new modern disciplines that will be used by many specialists in the coming years.
What you will learn in Financial Derivatives: A Quantitative View of Finance
- Fundamentals of financial derivatives
- Arbitration
- quantitative risk management
- algorithmic trading
- Using financial derivatives to control and manage investment risks
- Futures, futures, swaps, options, fixed income, etc.
- Black-Scholes model
- stochastic calculation
Course Specifications
Editor: Udemy
Instructors: Cameron Connell
French language
Level: Introductory to Advanced
Number of lessons: 128
Duration: 27 hours and 15 minutes
course topics
Financial derivatives: a quantitative view of finance
Calculation and basic courses in probability and statistics
No knowledge or experience in finance is assumed
Pictures
Financial derivatives: quantitative finance Watch the introductory video
installation guide
After the clip, watch with your favorite reader.
english subtitles
Quality: 1080p
Changes:
Version 2022/11 compared to 2021/11 increased the duration by 5 minutes. Additionally, the course quality has been increased from 720p to 1080p.
Download links
File password(s): free download software
size
6.44 GB