Factor-based deep reinforcement learning for asset allocation: Comparative analysis of static and dynamic beta reward designs. [PDF]
Jung NH, Oh T.
europepmc +1 more source
Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever +2 more
wiley +1 more source
Information-Theoretic ESG Index Direction Forecasting: A Complexity-Aware Framework. [PDF]
Öztürk KN, Yiğit ÖE.
europepmc +1 more source
ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda +3 more
wiley +1 more source
Adaptability factors and behavioral biases of investors in frontier markets: An adaptive market hypothesis perspective. [PDF]
Jannatunnesa J, Mahdzan NS, Md Noman AH.
europepmc +1 more source
Volatility Transmission between Conventional Finance and Islamic Finance in Stock Markets
openaire +1 more source
ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales +3 more
wiley +1 more source
A machine learning approach to risk based asset allocation in portfolio optimization. [PDF]
Agal S, Raulji K, Odedra ND.
europepmc +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Behaviorally informed deep reinforcement learning for portfolio optimization with loss aversion and overconfidence. [PDF]
Charkhestani A, Esfahanipour A.
europepmc +1 more source

