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73 851 (0,153s)

Result

Portfolio Selection via Fuzzy Mean-Variance Model

Main topics of the document: fuzzy; mean-variance; portfolio selection; stock...

Statistics and probability

  • 2020
  • D
  • Link
Result

Algorithmic procedures for mean variance optimality in Markov decision chains

In this note we discussed some algorithmic procedures for finding optimal policies of Markov decision chains with respect to various mean variance optimality of the variance of total cumulative reward. Finally, algorithmic ...

BB - Aplikovaná statistika, operační výzkum

  • 2006
  • D
Result

Stock portfolio selection via mean-semivariance model

Main topics of the document: mean-semivariance; mean-variance; portfolio selection; return; risk; stock...

Statistics and probability

  • 2020
  • D
  • Link
Result

Portfolio selection via a dynamic moving mean-variance model

Main topics of the document: dynamic; moving mean-variance; portfolio; unit trust...

Statistics and probability

  • 2021
  • D
  • Link
Result

Optimal mean - variance portfolios under NSD efficiency constraints

variance of portfolios which have at least the required mean return and, moreover) criterion. These problems can be seen as generalizations of classical mean-variance models, where a risk measure (variance

BB - Aplikovaná statistika, operační výzkum

  • 2014
  • D
  • Link
Result

Second order of stochastic dominance efficiency vs mean variance efficiency

variance analysis and expected utility. In particular, we show empirically that mean and mean variance efficient portfolios, using a bootstrap approach. In an ex ante of mean variance and SSD eff...

Economics and Business

  • 2021
  • Jimp
  • Link
Result

Unbiased variance estimator of the randomised response techniques for population mean

Main topics of the document: unbiased variance estimator; randomized response techniques; survey sampling; Horvitz-Thompson estimator; simple random sampling without replacement; population mean......

Applied Economics, Econometrics

  • 2023
  • JSC
  • Link
Result

Optimal solutions for undiscounted variance penalized Markov decision chains

We investigate how the minimum variance criterion can work in discrete stochastic dynamic programmig. We adapt notions and notation used in Markov decision processes and in contrast to the classical models we also considered variance

BC - Teorie a systémy řízení

  • 2004
  • D
Result

Future Performance of Mean-Risk Optimized Portfolios: An Empirical Study of Exchange Traded Funds

Main topics of the document: portfolio optimisation; mean-variance; mean-CVaR; efficient portfolio frontier; 1/N diversification......

Public administration

  • 2017
  • D
  • Link
Result

Variance components and nonlinearity

Unknown parameters of the covariance matrix ( variance components of the best estimator of the unknown parameters of the mean value of the observation vector. Estimators of the variance components must be utilized and then ...

BA - Obecná matematika

  • 2006
  • Jx
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