Results 51 to 60 of about 32,122 (260)
Optimizing Portfolio in the Evolutional Portfolio Optimization System (EPOS)
MathematicsA novel method of portfolio selection is provided with further higher moments, filtering with fundamentals in intelligent computing resources. The Evolutional Portfolio Optimization System (EPOS) evaluates unobtrusive relations from a vast amount of accounting and financial data, excluding hoax and noise, to select the optimal portfolio.
Nikolaos Loukeris +3 more
openaire +2 more sources
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
Agribusiness, EarlyView.ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Robust Portfolio Optimization with a Hybrid Heuristic Algorithm [PDF]
Estimation errors in both the expected returns and the covariance matrix hamper the constructing of reliable portfolios within the Markowitz framework. Robust techniques that incorporate the uncertainty about the unknown parameters are suggested in the ...
Peter Winker, Björn Fastrich
core
Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain
Agribusiness, EarlyView.Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
wiley +1 more source
Market‐Based Nutrition Regulation and Adult BMI Dynamics in Latin America
Agribusiness, EarlyView.ABSTRACT Market‐based nutrition policies, including interpretative labeling systems and taxes on sugar‐sweetened beverages (SSBs), have been widely adopted across Latin America to influence dietary choices and address rising obesity rates. While prior research documents change in food purchasing and product reformulation following these policies ...
Emiliano Lopez Barrera, Grace Melo
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
Time and nodal decomposition with implicit non-anticipativity constraints in dynamic portfolio optimization [PDF]
We propose a decomposition method for the solution of a dynamic portfolio optimization problem which fits the formulation of a multistage stochastic programming problem.
Elio Canestrelli, Diana Barro
core
Advanced Intelligent Discovery, EarlyView.Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Multiobjective Lagrangian duality for portfolio optimization with risk measures [PDF]
In this paper we present an application for a multiobjective optimization problem. The objective functions of the primal problem are the risk and the expected pain associated to a portfolio vector. Then, we present a Lagrangian dual problem for it.
Elisa Pagani
core
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