SEQUENTIAL SURVEILLANCE OF THE TANGENCY PORTFOLIO WEIGHTS
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Publication:3648636
DOI10.1142/S0219024909005464zbMath1180.91253MaRDI QIDQ3648636
Publication date: 27 November 2009
Published in: International Journal of Theoretical and Applied Finance (Search for Journal in Brave)
Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70) Portfolio theory (91G10)
Related Items (9)
Sequential monitoring of high‐dimensional time series ⋮ Control charts for high-dimensional time series with estimated in-control parameters ⋮ A closed-form solution of the multi-period portfolio choice problem for a quadratic utility function ⋮ Bayesian estimation of the global minimum variance portfolio ⋮ Statistical inference for the tangency portfolio in high dimension ⋮ On the product of a singular Wishart matrix and a singular Gaussian vector in high dimension ⋮ Recent advances in shrinkage-based high-dimensional inference ⋮ Higher order moments of the estimated tangency portfolio weights ⋮ On the mean and variance of the estimated tangency portfolio weights for small samples
Cites Work
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- Distributional properties of portfolio weights
- Properties of the singular, inverse and generalized inverse partitioned Wishart distributions
- Approximations to the expected sample size of certain sequential tests
- The Distribution of the Sample Minimum-Variance Frontier
- Optimal Surveillance Based on Exponentially Weighted Moving Averages
- EWMA Control Charts for Monitoring Optimal Portfolio Weights
- Surveillance of the mean behavior of multivariate time series
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