Results 101 to 110 of about 15,467 (237)
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source
On the Exact Limiting Distribution of a Volatility Target Index
ABSTRACT Assuming a lognormal distribution for the underlying risky asset, we study the limiting distribution of a volatility target index as the rebalancing time step approaches zero. Two limit theorems (a strong law of large numbers and a central limit theorem) are established, and as an application, the exact limiting distribution is derived.
Xuan Liu, Michel Gauthier
wiley +1 more source
The optimization of investment portfolios represents a pivotal task within the field of financial economics. Its objective is to identify asset combinations that meet specified criteria for return and risk.
Mirko Mattesi +6 more
doaj +1 more source
ABSTRACT The present study aimed to assess the link between physical appearance anxiety (PAA) and eating disorder (ED) symptomatology by a meta‐analysis of existing literature. Eligible studies were searched across six electronic databases up until November 20, 2025. Pooled effect sizes (r) were calculated using random‐effects models.
Manuel Alcaraz‐Ibáñez +4 more
wiley +1 more source
Abstract Exercise in hot climates increases the risk of gastrointestinal (GI) disruption and respiratory illness. We investigated the effects of a 42 day prebiotic intervention on markers of intestinal epithelial injury, GI discomfort and immunity following football specific exercise in the heat and daily upper respiratory illness.
Connor J. Parker +6 more
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Abstract This study examines whether dual‐class governance affects how investors and firms respond to major capital allocation decisions. Using U.S.‐listed firms from 2014 to 2025, we analyze share repurchases and M&A transactions in which dual‐class firms act as acquirers or targets.
Bruno Fiesenig +2 more
wiley +1 more source
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu +3 more
wiley +1 more source
Predicting membrane protein localization by deep learning on structure and chemistry
Abstract It has been known since at least the 1980's that the structure and chemistry of membranes and membrane proteins are matched. Exploiting this fact, a graph neural network model of proteins was trained on experimentally determined membrane protein structures to predict the native membrane environment of transmembrane domains from their structure.
Bivek Pokhrel +3 more
wiley +1 more source
Supplementation with Lactobacillus plantarum alone or combined with Saccharomyces cerevisiae improved laying performance, egg quality, immune response and caecal microbial balance by increasing beneficial lactic acid bacteria and reducing coliforms, demonstrating probiotics as a safe and sustainable alternative to antibiotic growth promoters in ...
Md. Jahangir Alam +5 more
wiley +1 more source

