Learn about the fundamentals of investment risk and financial return distributions.

Financiële rendementen

Financiële tijdreeksgegevens

Financiële rendementen berekenen

Rendementsverdelingen

Gemiddelde, variantie en normale verdeling

Eerste moment: Mu

Tweede moment: Variantie

Variantie annualiseren

Scheefheid en kurtosis

Derde moment: scheefheid

Vierde moment: kurtosis

Statistische toetsen op normaliteit

Univariate Investment Risk and Returns

Level up your understanding of investing by constructing portfolios of assets to enhance your risk-adjusted returns.

Portfolio composition and backtesting

Calculating portfolio returns

Equal weighted portfolios

Market-cap weighted portfolios

Correlation and co-variance

The correlation matrix

The co-variance matrix

Portfolio standard deviation

Markowitz portfolios

The efficient frontier

Sharpe ratios

The MSR portfolio

The GMV portfolio

Portfolio Investing

Learn about the main factors that influence the returns of your portfolios and how to quantify your portfolio's exposure to these factors.

The Capital Asset Pricing model

Excess returns

Calculating beta using co-variance

Calculating beta with CAPM

Adjusted R-squared

Alpha and multi-factor models

The Fama French 3-factor model

p-values and coefficients

Economic intuition in factor modeling

The efficient market and alpha

Expanding the 3-factor model

The 5-factor model

Alpha vs R-squared

Factor Investing

In this chapter, you will learn two different methods to estimate the probability of sustaining losses and the expected values of those losses for a given asset or portfolio of assets. 

Estimating tail risk

Historical drawdown

Historical value at risk

Historical expected shortfall

VaR extensions

Changing VaR and CVaR quantiles

Parametric VaR

Scaling risk estimates

Random walks

A random walk simulation

Monte Carlo simulations

Monte Carlo VaR

Understanding risk

Value at Risk

All returns (2017)

Efficient Frontier Portfolios

Fama-French factors

Microsoft prices

ETF of oil prices (UFO)

In deze cursus leer je basisrisico en rendement van een portefeuille te evalueren zoals een quantitative analyst op Wall Street. Dit is de belangrijkste stap richting het volledig automatiseren van je processen voor portefeuilleconstructie en -beheer. Ontdek welke factoren je portefeuillerendement aansturen, bouw op marktkapitalisatie gewogen aandelenportefeuilles, en leer hoe je marktrisico kunt voorspellen en afdekken via scenariogeneratie.

Introduction to Financial Concepts in Python

Manipulating Time Series Data in Python

Evalueer portefeuillerisico en rendement, bouw marktkapitaalgewogen portefeuilles en leer risico's afdekken.

Introductie tot portefeuillerisicobeheer in Python

Toegepaste financiën in Python

Quantitative Analyst | QuantCourse.com

Mean, variance, and normal distribution

Moments of distributions

The Normal Distribution

The standard normal distribution

Comparing against a normal distribution

Calculating mean returns in python

Standard deviation and variance

Standard deviation and variance in Python

Scaling volatility

Scaling volatility in Python

Let's practice!

Univariate Investment Risk and Returns - Gemiddelde, variantie en normale verdeling

Gemiddelde, variantie en normale verdeling

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