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This paper considers the problem of model uncertainty in the case of multi-asset volatility models and discusses the use of model averaging techniques as a way of dealing with the risk of inadvertently using false models in portfolio management. Evaluation of volatility models is then considered...
Persistent link: https://www.econbiz.de/10010276219
weights for the class of tangency portfolios belonging to the Markowitz paradigm. It is assumed that the joint distribution of …, we establish that a set of appealing properties, so far unnoticed, characterize traditional Markowitz portfolio trading …
Persistent link: https://www.econbiz.de/10010276224
Persistent link: https://www.econbiz.de/10003839329
This paper proposes a novel approach to the combination of conditional covariance matrix forecasts based on the use of the Generalized Method of Moments (GMM). It is shown how the procedure can be generalized to deal with large dimensional systems by means of a two-step strategy. The finite...
Persistent link: https://www.econbiz.de/10003796201
We discuss the problems of strategy selection in the framework of mathematical finance, stochastic control, and risk management in finance and economics. A problem setting that takes in to account a possibility of short term forecasting for market parameters is suggested. In this setting,...
Persistent link: https://www.econbiz.de/10013090290
We use a dynamic model averaging (DMA) approach to construct forecasts of individual equity returns for a large cross-section of stocks contained in the SP500, FTSE100, DAX30, CAC40 and SPX30 headline indices, taking value, momentum, and quality factors as predictor variables. Fixing the set of...
Persistent link: https://www.econbiz.de/10012897247
This paper considers the problem of model uncertainty in the case of multi-asset volatility models and discusses the use of model averaging techniques as a way of dealing with the risk of inadvertently using false models in portfolio management. Evaluation of volatility models is then considered...
Persistent link: https://www.econbiz.de/10013316571
This study predicts stock market volatility and applies them to the standard problem in finance, namely, asset allocation. Based on machine learning and model averaging approaches, we integrate the drivers’ predictive information to forecast market volatilities. Using various evaluation...
Persistent link: https://www.econbiz.de/10013404229
This paper proposes a novel approach to the combination of conditional covariance matrix forecasts based on the use of the Generalized Method of Moments (GMM). It is shown how the procedure can be generalized to deal with large dimensional systems by means of a two-step strategy. The finite...
Persistent link: https://www.econbiz.de/10010263760
The estimation of expected security returns is one of the major tasks for the practical implementation of the Markowitz … estimated returns, which lead to extreme asset weights within the Markowitz optimization, the Black-Litterman model generally …
Persistent link: https://www.econbiz.de/10009487257