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Global and Asset Class Diversified ETF Portfolio Strategy - A Convex Mean/CVaR Optimization Approach using Dynamic Copulas with Flexible Probabilities

Mantesso F, Flavio; Ahmed, Joe; Flores, Mauro - 2023

One of the most important factors to control for the achievements of investment portfolio returns is risk. If we only think that a 100% positive return is needed to recover a portfolio loss of 50%, we can understand why. With the advent of the exponential growth of technology usage in markets,...

Persistent link: https://www.econbiz.de/10014254526

Robust reverse engineering of cross-sectional returns and improved portfolio allocation performance using the CAPM

Ni, Xiaohui; Malevergne, Yannick; Sornette, Didier; … - 2011

. CAPM, Mean-Variance Portfolio Optimization, Constrained Optimization, Fama-French, Value-Size Portfolios, Dynamical …

Persistent link: https://www.econbiz.de/10009009611

Crude Oil Hedging Strategies Using Dynamic Multivariate GARCH

Tansuchat, Roengchai - 2010

The paper examines the performance of four multivariate volatility models, namely CCC, VARMA-GARCH, DCC and BEKK, for … the optimal portfolio weights of all multivariate volatility models for Brent suggest holding futures in larger … volatility model give the time-varying hedge ratios, and recommend to short in crude oil futures with a high proportion of one …

Persistent link: https://www.econbiz.de/10013149486

Ethanol Hedging Strategies Using Dynamic Multivariate GARCH

Garcia, Sergio - 2016

Ethanol has been the subject of intense debate following the adoption of the Energy Policy Act of 2005 (EPAct) which established that the gasoline supply in the United States (U.S.) must contain 10% ethanol. This work seeks to identify hedging ratios using dynamic multivariate GARCH to best...

Persistent link: https://www.econbiz.de/10012979327

Portfolio allocation for European markets with predictability and parameter uncertainty

Jondeau, Eric; Rockinger, Michael - 2010

We implement a long-horizon static and dynamic portfolio allocation involving a risk-free and a risky asset. This model is calibrated at a quarterly frequency for ten European countries. We also use maximum-likelihood estimates and Bayesian estimates to account for parameter uncertainty. We find...

Persistent link: https://www.econbiz.de/10008797745

Parallel optimization of sparse portfolios with AR-HMMs

Sipos, I. Róbert; Ceffer, Attila; Levendovszky, János - In: Computational economics 49 (2017) 4, pp. 563-578

Persistent link: https://www.econbiz.de/10011762135

Recursive utility using the stochastic maximum principle

Aase, Knut K. - In: Quantitative economics : QE ; journal of the … 7 (2016) 3, pp. 859-887

Motivated by the problems of the conventional model in rationalizing market data, we derive the equilibrium interest rate and risk premiums using recursive utility in a continuous-time model. We use the stochastic maximum principle to analyze the model. This method uses forward/backward...

Persistent link: https://www.econbiz.de/10011800871

Optimal portfolio using volatility anomaly concept and Sharpe optimisation technique

Mitra, Pradip Kumar; Mascarenhas, Edward - In: International journal of business excellence : IJBEX 25 (2021) 4, pp. 474-490

Persistent link: https://www.econbiz.de/10012798425

An integrated matching-immunization model for bond portfolio optimization

Xidonas, P.; Hassapis, Christis; Bouzianis, G.; … - In: Computational economics 51 (2018) 3, pp. 595-605

Persistent link: https://www.econbiz.de/10011963712

Optimal bond issuance with cost and liquidity constraints for Chinese local governments : a multi-period stochastic programming approach

Yang, Ruicheng; Li, Li; Jiang, Qi; Qi, Ji - In: Empirical economics : a quarterly journal of the … 63 (2022) 5, pp. 2605-2632

Persistent link: https://www.econbiz.de/10013440506