Description Usage Arguments Details Value Author(s) References
Constructs the partial confidence posterior based on prior (mean vector and covariance matrix) and a posterior with a relative confidence in the prior vs. the sample data
1 2 3 | PartialConfidencePosterior(mean_sample, cov_sample,
mean_prior, cov_prior, relativeConfidenceInMeanPrior,
relativeConfidenceInCovPrior, sampleSize)
|
mean_sample |
the mean of the sample returns |
cov_sample |
the sample covariance matrix |
mean_prior |
the prior for the mean returns |
cov_prior |
the covariance matrix prior |
relativeConfidenceInMeanPrior |
a numeric with the relative confidence in the mean prior vs. the sample mean. A value of 2 indicates twice as much weight to assign to the prior vs. the sample data. Must be greater than or equal to zero |
relativeConfidenceInCovPrior |
a numeric with the relative confidence in the covariance prior vs. the sample covariance. A value of 2 indicates twice as much weight to assign to the prior vs. the sample data. Must be greater than or equal to zero |
sampleSize |
a numeric with the number of rows in the sample data used to estimate mean_sample and cov_sample |
T_{1} \equiv T_{0} + T \\ μ_{1} \equiv \frac{1}{ T_{1} } \big( T_{0} μ_{0} + T \hat{ μ } \big) \\ ν_{1} \equiv ν_{0} + T \\ Σ_{1} \equiv \big( ν_{0} Σ_{0} + T \hat{ Σ } + \frac{ \big(μ_{0} - \hat{μ} \big) \big(μ_{0} - \hat{μ} \big)' }{ \big( \frac{1}{T} + \frac{1}{T_{0} } \big) }
mean_post a vector with the confidence weighted posterior mean vector of asset returns blended from the prior and sample mean vector
cov_post a covariance matrix the confidence weighted posterior covariance matrix of asset returns blended from the prior and sample covariance matrix
time_post a numeric
nu_pst a numeric
Ram Ahluwalia ram@wingedfootcapital.com
A. Meucci - Robust Bayesian Allocation - See formula (11) - (14) http://papers.ssrn.com/sol3/papers.cfm?abstract_id=681553
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