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, income are expressed and 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 master various areas of data analysis, data science, mathematics and economics. This is a job position from a technical department in the field of design and development of analytical models and a theoretical department in the field of economic analysis and investment, and this training will allow you to exchange 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 Finance View
- Fundamentals of financial derivatives
- Arbitration
- Quantitative risk management
- Algorithmic trading
- Use financial derivatives to control and manage investment risks
- Futures, futures, swaps, options, fixed income securities, 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 10 minutes
Course topics
Financial derivatives: a quantitative financial view
Calculus and basic course in probability and statistics
No finance knowledge or experience is assumed
Pictures
Financial derivatives: quantitative finance Watch the introductory video
Installation guide
After ripping, watch with your favorite player.
english subtitle
Quality: 720p
Download links
File password(s): ngaur.com
Cut
3.95 GB