Quantitative Finance & Algorithmic Trading in Python by Tyler Aaron
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 16 lectures (1h 46m) | Size: 1.12 GB
Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations
What you'll learn:
Understand the Modern Portfolio Theory and Markowitz model
Understand stock market fundamentals
Understand derivatives (futures and options)
Understand stochastic processes and the famous Black-Scholes model
Understand Value-at-Risk (VaR)
Understand Value-at-Risk (VaR)
Understand bonds and bond pricing
Understand the Capital Asset Pricing Model (CAPM)
Understand credit derivatives (credit default swaps)
Understand Monte-Carlo simulations
Requirements
You should have an interest in quantitative finance as well as in mathematics and programming!
Description
This course is about the fundamental basics of financial engineering. First of all you will learn about stocks, bonds and other derivatives. The main reason of this course is to get a better understanding of mathematical models concerning the finance in the main.
First of all we have to consider bonds and bond pricing. Markowitz-model is the second step. Then Capital Asset Pricing Model (CAPM). One of the most elegant scientific discoveries in the 20th century is the Black-Scholes model and how to eliminate risk with hedging.
