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

Financial returns

Financial timeseries data

Calculating financial returns

Return distributions

Mean, variance, and normal distribution

First moment: Mu

Second moment: Variance

Annualizing variance

Skewness and kurtosis

Third moment: Skewness

Fourth moment: Kurtosis

Statistical tests for normality

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.

Model Capital Asset Pricing

Excess returns

Menghitung beta menggunakan kovarians

Menghitung beta dengan CAPM

Adjusted R-squared

Alfa dan model multi-faktor

Model 3 Faktor Fama-French

p-value dan koefisien

Intuisi ekonomi dalam pemodelan faktor

Pasar efisien dan alfa

Mengembangkan model 3 faktor

Model 5 faktor

Alfa 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)

Kursus ini akan mengajarkan Anda cara mengevaluasi risiko dan imbal hasil portofolio dasar seperti analis kuantitatif di Wall Street. Ini adalah langkah paling krusial menuju kemampuan untuk sepenuhnya mengotomatisasi proses konstruksi dan pengelolaan portofolio Anda. Temukan faktor-faktor yang mendorong imbal hasil portofolio Anda, bangun portofolio ekuitas berbobot kapitalisasi pasar, dan pelajari cara memprakirakan serta melakukan lindung nilai terhadap risiko pasar melalui pembangkitan skenario.

Introduction to Financial Concepts in Python

Manipulating Time Series Data in Python

Evaluasi risiko dan imbal hasil portofolio, buat portofolio ekuitas, dan pelajari cara lindung nilai risiko.

Pengantar Manajemen Risiko Portofolio dengan Python

Keuangan Terapan dalam Python

Model	R-Squared	Adjusted R-Squared
Model 1	0.60	0.35
Model 2	0.95	0.40
Model 3	0.90	0.75

Adjusted R-squared

Pengantar Manajemen Risiko Portofolio dengan Python

Latihan interaktif praktis