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Modelling Opaque Bilateral Market Dynamics in Financial Trading: Insights from a Multi-Agent Simulation Study
Exploring complex adaptive financial trading environments through multi-agent based simulation methods presents an innovative approach within the realm of quantitative finance.
Recommender Systems in Financial Trading: Using machine-based conviction analysis in an explainable AI investment framework
Analysts' conviction around their recommendations and their "paper trading" track record are two crucial workflow components between analysts and portfolio construction.
What Type of Explanation Do Rejected Job Applicants Want? Implications for Explainable AI
Rejected job applicants seldom receive explanations from employers.
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