Finance & Accounting Online Course by Udemy, On Sale Here
Stock market, Markowitz-portfolio theory, CAPM, Black-Scholes formula, value at risk, monte carlo simulations, FOREX
An excellent training about Investing & Trading
Quantitative Finance & Algorithmic Trading in Python
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. Markowitz-model is the first step. Then Capital Asset Pricing Model (CAPM). One of the most elegant scientific discoveries in the 20th century is the Black-Scholes model: how to eliminate risk with hedging. Nowadays machine learning techniques are becoming more and more popular. So you will learn about regression, SVM and tree based approaches. IMPORTANT: only take this course, if you are interested in statistics and mathematics! Section 1:installing Pythonstock market basicsSection 2:what are bondshow to calculate the price of a bondSection 3:what is modern portfolio theory (Markowitz-model)efficient frontier and capital allocation linesharpe ratioSection 4:what is capital asset pricing model (CAPM)beta value and market riskSection 5:derivatives basicsoptions (put and call options)random behaviourstochastic calculus and Ito’s lemmabrownian motionBlack-Scholes modelSection 6:what is value at risk (VaR)Monte-Carlo simulationSection 7:machine learning in financehow to forecast future stock pricesSVM, k-nearest neighbor classifier and logistic regressionSection 8:long term investing (the Warren Buffer way)efficient market hypothesisThanks for joining my course, let’s get started!
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