Results 31 to 40 of about 1,037,455 (301)
Multi-Asset Multi-Agent Reinforcement Learning for Portfolio Management
IEEE AccessPortfolio management reduces the risks and improves the profits of a portfolio comprising various asset classes (including stocks, bonds, commodities, and cash) that exhibit low correlations and distinct risk-return characteristics.
Sang-Ho Kim, Ki-Hoon Lee
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HeliyonThis paper investigates the impact of housing with both consumption and investment attributes on the risky financial asset allocation of households, constructs Probit and Tobit models using 2019 China Household Finance Survey (CHFS) data, and proceeds to
Lili Wu, Hui Yu
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Hopfield networks for asset allocation
Proceedings of the 5th ACM International Conference on AI in FinanceWe present the first application of modern Hopfield networks to the problem of portfolio optimization. We performed an extensive study based on combinatorial purged cross-validation over several datasets and compared our results to both traditional and deep-learning-based methods for portfolio selection.
Carlo Nicolini +3 more
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Intertemporal asset allocation strategies under inflationary risk [PDF]
, 2006 Hsiao C-Y. Intertemporal asset allocation strategies under inflationary risk. Bielefeld (Germany): Bielefeld University; 2006.In the framework of the intertemporal asset allocation problem, this dissertation focuses on the modelling of inflation risk and
Hsiao, Chih-Ying
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Molecular Oncology, EarlyView.Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
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Simul-RL Portfolio Framework: Black-Scholes-Merton and Reinforcement Learning for Asset Allocation
IEEE AccessAsset allocation method using reinforcement learning is being actively researched. However, the existing asset allocation methods do not consider the following viewpoints in solving the asset allocation problem.
Jungyu Ahn, Hyoung-Goo Kang
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Advanced Functional Materials, EarlyView.A bio‐inspired biopolymeric implantable drug delivery platform enables localized and sustained release of 7‐ethyl‐10‐hydroxycamptothecin (SN‐38) in solid tumor treatment. The three‐dimensional (3D) structured crosslinked‐chitosan implants are fabricated via 3D‐printed molds and provide drug release over 3 months, significantly inhibiting tumor growth ...
Mercedes Lozano‐Garcia +12 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A field‐driven transition from chiral stripes to an achiral fan state is observed in a tetragonal magnet and linked to a temperature‐dependent rotation of the effective Dzyaloshinskii–Moriya interaction axis. This interplay generates pronounced in‐plane anisotropy and provides a new route for controlling chiral spin textures in noncentrosymmetric ...
Victor Ukleev +19 more
wiley +1 more source
Financial Innovation, 2021 The emergence and growing popularity of Bitcoins have attracted the attention of the financial world. However, few empirical studies have considered the inclusion of the newly emerged commodity asset in the global commodity market.
Yuze Li +3 more
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