Results 11 to 20 of about 40,538 (215)
Online portfolio selection [PDF]
ACM Computing Surveys, 2014 Online portfolio selection is a fundamental problem in computational finance, which has been extensively studied across several research communities, including finance, statistics, artificial intelligence, machine learning, and data mining. This article aims to provide a comprehensive survey and a structural understanding of online portfolio selection ...
Steven C H Hoi
exaly +5 more sources
Portfolio Selection With Robust Estimation [PDF]
SSRN Electronic Journal, 2007 Mean-variance portfolios constructed using the sample mean and covariance matrix of asset returns perform poorly out of sample due to estimation error. Moreover, it is commonly accepted that estimation error in the sample mean is much larger than in the sample covariance matrix.
Victor DeMiguel, Francisco J. Nogales
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Feature Selection for Portfolio Optimization [PDF]
SSRN Electronic Journal, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas Trier Bjerring +2 more
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Crypto Asset Portfolio Selection [PDF]
FinTech, 2021 The aim of this paper is to propose a portfolio selection methodology capable to take into account asset tail co-movements as additional constraints in Markowitz model. We apply the methodology to the observed time series of the 10 largest crypto assets, in terms of market capitalization, over the period 20 September 2017–31 December 2020 (1200 daily ...
Daniel Felix Ahelegbey +2 more
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Tangency portfolios in the LP solvable portfolio selection models [PDF]
RAIRO - Operations Research, 2012 Summary: A risk measure in a portfolio selection problem is linear programming (LP) solvable, if it has a linear formulation when the asset returns are represented by discrete random variables, i.e., they are defined by their realizations under specified scenarios. The efficient frontier corresponding to an LP solvable model is a piecewise linear curve.
Reza Keykhaei, Mohamad Taghi Jahandideh
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Portfolio selection with higher moments [PDF]
Quantitative Finance, 2004 We propose a method for optimal portfolio selection using a Bayesian decision theoretic framework that addresses two major shortcomings of the Markowitz approach: the ability to handle higher moments and estimation error. We employ the skew normal distribution which has many attractive features for modeling multivariate returns.
Campbell R. Harvey +3 more
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Portfolio selection with heavy tails [PDF]
Journal of Empirical Finance, 2004 Consider the portfolio problem of choosing the mix between stocks and bonds under a downside risk constraint. Typically stock returns exhibit fatter tails than bonds corresponding to their greater downside risk. Downside risk criteria like the safety first criterion therefore often select corner solutions in the sense of a bonds only portfolio. This is
Namwon Hyung, Casper G. de Vries
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Annals of Operations ResearchAbstract In 1952, Harry Markowitz formulated portfolio selection as a trade-off between expected, or mean, return and variance. This launched a massive research effort devoted to finding suitable inputs to mean-variance optimization. The estimation problem is high dimensional and a factor model is at the core of many attempts.
Alexander D. Shkolnik +4 more
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Advanced Functional Materials, EarlyView.Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo +2 more
wiley +1 more source
On the Stability of Portfolio Selection Models [PDF]
SSRN Electronic Journal, 2018 One of the main issues in portfolio selection models consists in assessing the effect of the estimation errors of the parameters required by the models on the quality of the selected portfolios. Several studies have been devoted to this topic for the minimum variance and for several other minimum risk models.
Francesco Cesarone +3 more
openaire +3 more sources