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Testing The Black- Litterman Model: Sensitivity of Weight Vector to the Variance of Views

Prysyazhnyuk, Yuliya LU and Ojagverdiyeva, Saida LU (2011) NEKM07 20111
Department of Economics
Abstract
The paper investigates sensitivity of the optimal portfolio obtained from the Black Litterman model to the specification of the inputs. Specifically estimation methods of the variances of the views are employed and the results are analysed. For this purpose the MSCI indices of 14 European countries are experienced. The result shows very weak response of the weight vector to the estimation method of the variance matrix of views. Further research suggests the sensitivity analysis concentrated on the prior specification of the equilibrium returns as the beginning point for the Black Litterman model.
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author
Prysyazhnyuk, Yuliya LU and Ojagverdiyeva, Saida LU
supervisor
organization
course
NEKM07 20111
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Black- Litterman model, views, portfolio optimization, variance-covariance matrix
language
English
id
2155310
date added to LUP
2011-09-27 09:22:51
date last changed
2011-09-27 09:22:51
@misc{2155310,
  abstract     = {The paper investigates sensitivity of the optimal portfolio obtained from the Black Litterman model to the specification of the inputs. Specifically estimation methods of the variances of the views are employed and the results are analysed. For this purpose the MSCI indices of 14 European countries are experienced. The result shows very weak response of the weight vector to the estimation method of the variance matrix of views. Further research suggests the sensitivity analysis concentrated on the prior specification of the equilibrium returns as the beginning point for the Black Litterman model.},
  author       = {Prysyazhnyuk, Yuliya and Ojagverdiyeva, Saida},
  keyword      = {Black- Litterman model,views,portfolio optimization,variance-covariance matrix
},
  language     = {eng},
  note         = {Student Paper},
  title        = {Testing The Black- Litterman Model: Sensitivity of Weight Vector to the Variance of Views},
  year         = {2011},
}