Quantitative Finance Algorithmic Trading In Python
Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations
Last updated 2022-01-10 | 4.4
- Understand stock market fundamentals- Understand bonds and bond pricing
- Understand the Modern Portfolio Theory and Markowitz model
What you'll learn
Understand stock market fundamentals
Understand bonds and bond pricing
Understand the Modern Portfolio Theory and Markowitz model
Understand the Capital Asset Pricing Model (CAPM)
Understand derivatives (futures and options)
Understand credit derivatives (credit default swaps)
Understand stochastic processes and the famous Black-Scholes model
Understand Monte-Carlo simulations
Understand Value-at-Risk (VaR)
Understand CDOs and the financial crisis
Understand interest rate models (Vasicek model)
* Requirements
* You should have an interest in quantitative finance as well as in mathematics and programming!Description
- Understand stock market fundamentals
- Understand bonds and bond pricing
- Understand the Modern Portfolio Theory and Markowitz model
- Understand the Capital Asset Pricing Model (CAPM)
- Understand derivatives (futures and options)
- Understand credit derivatives (credit default swaps)
- Understand stochastic processes and the famous Black-Scholes model
- Understand Monte-Carlo simulations
- Understand Value-at-Risk (VaR)
- Understand CDOs and the financial crisis
- Understand interest rate models (Vasicek model)
Course content
26 sections • 196 lectures