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Statistical modelling of downside risk spillovers
Ahelegbey, Daniel Felix - 2020
Persistent link: https://www.econbiz.de/10012321946
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Bayesian nonparametric measurement of factor betas and clustering with application to hedge fund returns
Garay, Urbi; Horst, Enrique ter; Molina, German; … - In: Econometrics : open access journal 4 (2016) 1, pp. 1-23
We define a dynamic and self-adjusting mixture of Gaussian Graphical Models to cluster financial returns, and provide a new method for extraction of nonparametric estimates of dynamic alphas (excess return) and betas (to a choice set of explanatory factors) in a multivariate setting. This...
Persistent link: https://www.econbiz.de/10011505836
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On dynamic measures of risk
Cvitanić, Jakša; Karatzas, Ioannis - In: Finance and stochastics 3 (1999) 4, pp. 451-482
Persistent link: https://www.econbiz.de/10001412192
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Analyzing Hedging Strategies for Fixed Income Portfolios : A Bayesian Approach for Model Selection
Bessler, Wolfgang - 2016
government bonds had to derive new hedging strategies to deal with changing return properties and higher levels of uncertainty … hedging performance relative to unconditional hedging approaches such as OLS. The aim of this study is to test innovative … hedging strategies for EMU bond portfolios for non-crisis and crisis periods. We analyze single and composite hedges with the …
Persistent link: https://www.econbiz.de/10013006511
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Analyzing hedging strategies for fixed income portfolios : a Bayesian approach for model selection
Bessler, Wolfgang; Leonhardt, Alexander; Wolff, Dominik - In: International review of financial analysis 46 (2016), pp. 239-256
Persistent link: https://www.econbiz.de/10011581819
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Bayesian portfolio optimization from a static and dynamic perspective
Bade, Alexander - 2009
Persistent link: https://www.econbiz.de/10003881492
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Asset Allocation und Prognoseunsicherheit : Die Berücksichtigung von Schätzfehlern in der strategischen und taktischen Asset Allocation
Herold, Ulf - 2004 - 1. Aufl.
Persistent link: https://www.econbiz.de/10001916089
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Dealing with drift uncertainty : a Bayesian learning approach
De Franco, Carmine; Nicolle, Johann; Pham, Huyên - In: Risks : open access journal 7 (2019) 1/5, pp. 1-18
One of the main challenges investors have to face is model uncertainty. Typically, the dynamic of the assets is modeled using two parameters: the drift vector and the covariance matrix, which are both uncertain. Since the variance/covariance parameter is assumed to be estimated with a certain...
Persistent link: https://www.econbiz.de/10012018698
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Bayesian learning for the Markowitz portfolio selection problem
De Franco, Carmine; Nicolle, Johann; Pham, Huyên - In: International journal of theoretical and applied finance 22 (2019) 7, pp. 1-40
Persistent link: https://www.econbiz.de/10012153463
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Recursive portfolio selection with decision trees
Andriyashin, Anton (contributor);  … - 2008
A great proportion of stock dynamics can be explained using publicly available information. The relationship between dynamics and public information may be of nonlinear character. In this paper we offer an approach to stock picking by employing so-called decision trees and applying them to XETRA...
Persistent link: https://www.econbiz.de/10003636039