Suppose our data is in dat.
Cov mat r finance.
The portfolio can allow all assets to be shorted or not allow any assets to be shorted.
Macroeconomic factor model fundamental factor model and statistical factor model.
Dat dat c 2 4 remove team name and ds names left in data frame names dat 1 playername mb game reshape from long to wide dat wide reshape dat direction wide idvar game timevar playername dat wide 1.
I think what you first need to do is reshape the data so that each row is a game and each column is the mb for a game for a player.
Typically the two sets are a learning set and a test set.
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For covariance matrix estimation three major types of factor models are included.
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Type package title covariance matrix estimation and regularization for finance version 1 1 0 description estimation and regularization for covariance matrix of asset returns.
Er n x 1 vector of expected returns cov mat n x n covariance matrix of returns weights n x 1 vector of portfolio weights output is portfolio object with the following elements.
Param er samp n x 1 vector of expected returns param cov mat samp n x n return covariance matrix param target return scalar target expected return param shorts logical if.
Portfolio r functions for portfolio analysis to be used in introduction to computational finance financial econometrics last.
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Description compute global minimum variance portfolio given expected return vector and covariance matrix.
If short sales are not allowed then the portfolio is computed numerically using the function samp solve qp from the samp quadprog package.
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Smart beta is what people call algorithms that construct portfolios that are intended to beat market cap weighted benchmarks without a human.
The returned object is of class portfolio.