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 | 苦逼 2016-2-20 17:07:28 |
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Computational Finance and Financial Econometrics.rar
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- Course Introduction
- Computing Asset Returns
- Getting financial data from Yahoo!
- Excel calculations
- 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
- 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
- Introduction to portfolio theory
- Optimization
- Markowitz algorithm
- Markowitz Algorithm using the solver and matrix algebra
- Risk budgeting
- Statistical Analysis of Efficient Portfolios
- Beta as a measure of portfolio risk
- The Single Index Model
- Estimating the Single Index Model using simple linear regression
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