Quantitative portfolio selection: using density forecasting to find consistent portfolios
From MaRDI portal
Publication:2028791
DOI10.1016/j.ejor.2020.06.033zbMath1487.91126arXiv1908.08442OpenAlexW3037554409MaRDI QIDQ2028791
C. J. Adcock, Nigel Meade, John E. Beasley
Publication date: 3 June 2021
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1908.08442
Related Items
Why estimation alone causes Markowitz portfolio selection to fail and what we might do about it ⋮ Multi-period portfolio optimization using model predictive control with mean-variance and risk parity frameworks
Cites Work
- Unnamed Item
- Unnamed Item
- Can the random walk model be beaten in out-of-sample density forecasts? Evidence from intraday foreign exchange rates
- Predictive density and conditional confidence interval accuracy tests
- Robust portfolios: contributions from operations research and finance
- An SQP method for general nonlinear programs using only equality constrained subproblems
- A new technique for inconsistent QP problems in the SQP method
- Computing efficient frontiers using estimated parameters
- Naive versus optimal diversification: tail risk and performance
- Realized performance of robust portfolios: worst-case Omega vs. CVaR-related models
- Recent developments in robust portfolios with a worst-case approach
- Robust asset allocation
- Mean-variance approximations to expected utility
- 60 years of portfolio optimization: practical challenges and current trends
- Mean-variance-skewness efficient surfaces, Stein's lemma and the multivariate extended skew-Student distribution
- Theoretical and empirical estimates of mean-variance portfolio sensitivity
- Worst-case robust Omega ratio
- Time varying betas and the unconditional distribution of asset returns
- The Distribution of the Sample Minimum-Variance Frontier
- A Generalized Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms
- Estimation for Markowitz Efficient Portfolios
- Normal Inverse Gaussian Distributions and Stochastic Volatility Modelling
- Relative Robust Portfolio Optimization with benchmark regret
This page was built for publication: Quantitative portfolio selection: using density forecasting to find consistent portfolios