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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

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

Currency Hedging Strategies Using Dynamic Multivariate GARCH

Chang, Chia-Lin - 2012

volatility for estimating conditional variances and covariances; (2) alternative currencies; and (3) alternative maturities of … Chang et al. [17], we estimate four multivariate volatility models (namely CCC, VARMA-AGARCH, DCC and BEKK), and calculate …

Persistent link: https://www.econbiz.de/10013113663

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

Bootstap Lr Tests of Sign and Amplitude Asymmetry

Fuertes, Ana-Maria; Coakley, Jerry - 2000

Using threshold autoregressive specifications, this paper extends the Enders and Granger (1998) framework for parametric tests of level asymmetry. In particular it develops bootstrap likelihood ratio statistics to test the symmetry null against sign and amplitude asymmetries or a combination of...

Persistent link: https://www.econbiz.de/10014160955

Lasso-Type and Heuristic Strategies in Model Selection and Forecasting

Savin, Ivan - 2012

Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...

Persistent link: https://www.econbiz.de/10013099334

Assessing multivariate predictors of financial market movements : a latent factor framework for ordinal data

Huber, Philippe; Scaillet, Olivier; Victoria-Feser, … - 2008

. Monte Carlo experiments reveal that both the estimation method and the testing procedure perform well in small samples. The …

Persistent link: https://www.econbiz.de/10003966616

Lasso-type and heuristic strategies in model selection and forecasting

Savin, Ivan; Winker, Peter - 2012

Persistent link: https://www.econbiz.de/10009630302

A novel hybrid approach to forecast crude oil futures using intraday data

Manickavasagam, Jeevananthan; Visalakshmi, S.; … - In: Technological forecasting & social change : an … 158 (2020), pp. 1-11

Persistent link: https://www.econbiz.de/10012516847

Parameter learning and change detection using a particle filter with accelerated adaptation

Gellert, Karol; Schlögl, Erik - In: Risks : open access journal 9 (2021) 12, pp. 1-18

shifts and stochastic volatility. The filter adapts to regime shifts extremely rapidly and delivers a clear heuristic for … distinguishing between regime shifts and stochastic volatility, even though the model dynamics assumed by the filter exhibit neither …

Persistent link: https://www.econbiz.de/10012794245