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This paper presents the theoretical and applicative model elaborated by Harry Markowitz on the determination of the structure of the efficient securities portfolio. In this sense, in order to determine the structure of the efficient Markowitz portfolio (PE), a Lagrange function is built and...
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into portfolio decisions? To answer this question we derive a new model within the Bayesian framework, where managers are … predictors, and in part on the basis of their own information set. In this portfolio allocation process, managers concern … information. In doing this, we impose a structure on fund returns, betas, and benchmark returns that help to analyse how managers …
Persistent link: https://www.econbiz.de/10003749945
. Overall, we find that active managers underperform their benchmarks when it comes to allocating to market segments (based … along size, style, and industry dimensions). Further, we find that managers who have successfully timed market segment …
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The hidden Markov model (HMM) is typically used to predict the hidden regimes of observation data. Therefore, this model finds applications in many different areas, such as speech recognition systems, computational molecular biology and financial market predictions. In this paper, we use HMM for...
Persistent link: https://www.econbiz.de/10011402656
We consider a class of dynamic portfolio optimization problems that allow for models of return predictability, transaction costs, and stochastic volatility. Determining the dynamic optimal portfolio in this general setting is almost always intractable. We propose a multiscale asymptotic...
Persistent link: https://www.econbiz.de/10013020279
The problem of optimal wealth allocation is solved under the assumptions that interest rates are stochastic and stock returns are predictable with observed and unobserved factors. The stock risk premium is taken to be an affine function of the predictive variables and the stock return volatility...
Persistent link: https://www.econbiz.de/10013043954
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