Copula-based Black-Litterman portfolio optimization
DOI10.1016/j.ejor.2021.06.015zbMath1490.91193OpenAlexW3171421931MaRDI QIDQ2060420
Maziar Sahamkhadam, Andreas Stephan, Ralf Oestermark
Publication date: 13 December 2021
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2021.06.015
portfolio optimizationfinanceconditional value-at-riskBlack-Litterman frameworktail constraintstruncated regular vine copula
Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Portfolio theory (91G10)
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Cites Work
- Unnamed Item
- Pair-copula constructions of multiple dependence
- Portfolio optimization with disutility-based risk measure
- Beyond simplified pair-copula constructions
- Mean-VaR portfolio selection under real constraints
- Time-consistent and self-coordination strategies for multi-period mean-conditional value-at-risk portfolio selection
- Vector forecasting and dynamic portfolio selection: Empirical efficiency of recursive multiperiod strategies
- On the simplified pair-copula construction -- simply useful or too simplistic?
- Portfolio selection under distributional uncertainty: a relative robust CVaR approach
- Using copulae to bound the value-at-risk for functions of dependent risks
- Black-Litterman model for continuous distributions
- Analyzing dependent data with vine copulas. A practical guide with R
- On the Bayesian interpretation of Black-Litterman
- Massively parallel processing of recursive multi-period portfolio models
- The dynamic Black-Litterman approach to asset allocation
- Multivariate dependence and portfolio optimization algorithms under illiquid market scenarios
- A more human-like portfolio optimization approach
- Mean-VaR portfolio optimization: a nonparametric approach
- Vines -- a new graphical model for dependent random variables.
- Parameter estimation for pair-copula constructions
- Model selection in sparse high-dimensional vine copula models with an application to portfolio risk
- Portfolio optimization with entropic value-at-risk
- Probability density decomposition for conditionally dependent random variables modeled by vines
- Truncation of vine copulas using fit indices
- A closed-form solution of the Black-Litterman model with conditional value at risk
- 60 years of portfolio optimization: practical challenges and current trends
- The benefits of differential variance-based constraints in portfolio optimization
- Financial Risk Modelling and Portfolio Optimization with R
- Dependence Modeling with Copulas
- Truncated regular vines in high dimensions with application to financial data
- Optimal Portfolio Diversification Using the Maximum Entropy Principle
- Estimation for Markowitz Efficient Portfolios
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Likelihood-Based Inference in Cointegrated Vector Autoregressive Models
- Co-Integration and Error Correction: Representation, Estimation, and Testing
- Programming with linear fractional functionals
- Examination and visualisation of the simplifying assumption for vine copulas in three dimensions
- Stable distributions in the Black–Litterman approach to asset allocation
- Optimal Financial Portfolios
- On Nonlinear Fractional Programming
- Risk and asset allocation.
- Multivariate cointegration analysis of the Finnish-Japanese stock markets
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