Results 101 to 110 of about 153,252 (278)
Portfolio optimization for heavy-tailed assets: Extreme Risk Index vs. Markowitz
, 2015 Using daily returns of the S&P 500 stocks from 2001 to 2011, we perform a backtesting study of the portfolio optimization strategy based on the extreme risk index (ERI).
Mainik, Georg +2 more
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Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Enhancing Portfolio Optimization: A Two-Stage Approach with Deep Learning and Portfolio Optimization
MathematicsThe portfolio selection problem has been a central focus in financial research. A complete portfolio selection process includes two stages: stock pre-selection and portfolio optimization.
Shiguo Huang +4 more
doaj +1 more source
A Polynomial Optimization Approach to Constant Rebalanced Portfolio Selection [PDF]
We address the multi-period portfolio optimization problem with the constant rebalancing strategy. This problem is formulated as a polynomial optimization problem (POP) by using a mean-variance criterion.
Sotirov, R., Takano, Y.
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Noisy Covariance Matrices and Portfolio Optimization
, 2001 According to recent findings [1,2], empirical covariance matrices deduced from financial return series contain such a high amount of noise that, apart from a few large eigenvalues and the corresponding eigenvectors, their structure can essentially be ...
Crisanti +8 more
core +2 more sources
Advanced Intelligent Systems, EarlyView.This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
A general approach to Bayesian portfolio optimization [PDF]
We develop a general approach to portfolio optimization taking account of estimation risk and stylized facts of empirical finance. This is done within a Bayesian framework.
Bade, Alexander +2 more
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Portfolio Optimization under Shortfall Risk Constraint
, 2016 This paper solves a utility maximization problem under utility-based shortfall risk constraint, by proposing an approach using Lagrange multiplier and convex duality. Under mild conditions on the asymptotic elasticity of the utility function and the loss
Janke, Oliver, Li, Qinghua
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Anatomical Sciences Education, EarlyView.Abstract Educating clients and teaching and mentoring colleagues are crucial yet underappreciated elements of a veterinarian's professional duties. Unfortunately, veterinary curricula rarely explicitly aim to encourage students to develop effective teaching practices.
Renato L. Previdelli +3 more
wiley +1 more source
Portfolio optimization with mixture vector autoregressive models
, 2020 Obtaining reliable estimates of conditional covariance matrices is an important task of heteroskedastic multivariate time series. In portfolio optimization and financial risk management, it is crucial to provide measures of uncertainty and risk as ...
Boshnakov, Georgi N., Ravagli, Davide
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