Les infos clés
En résumé
Learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems.
Le programme
- Computing asset returns
- Univariate random variables and distributions
- Characteristics of distributions, the normal distribution, linear function of random variables, quantiles of a distribution, Value-at-Risk
- Bivariate distributions
- Covariance, correlation, autocorrelation, linear combinations of random variables
- Time Series concepts
- Covariance stationarity, autocorrelations, MA(1) and AR(1) models
- Matrix algebra
- Descriptive statistics
- histograms, sample means, variances, covariances and autocorrelations
- The constant expected return model
- Monte Carlo simulation, standard errors of estimates, confidence intervals, bootstrapping standard errors and confidence intervals, hypothesis testing , Maximum likelihood estimation, review of unconstrained optimization methods
- Introduction to portfolio theory
- Portfolio theory with matrix algebra
- Review of constrained optimization methods, Markowitz algorithm, Markowitz Algorithm using the solver and matrix algebra
- Statistical Analysis of Efficient Portfolios
- Risk budgeting
- Euler’s theorem, asset contributions to volatility, beta as a measure of portfolio risk
- The Single Index Model
- Estimation using simple linear regression
Les intervenants
- Eric Zivot - Economics Department
Le concepteur
Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.
La plateforme
Coursera est une entreprise numérique proposant des formations en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.
Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.
