Portfoolioids
Portfoolioids are a class of synthetic, behaviorally biased investment agents used in portfolio simulation, education, and research. The name fuses portfolio with fool, signaling that these agents embody common investment biases and heuristics. Portfoolioids are not real investors; they are computational profiles that act under rules and parameters within a market model.
Operation and design: Each Portfoolioid is characterized by a trait vector: risk tolerance, time horizon, bias
Applications: Portfoolioids are used to study how behavioral biases affect portfolio outcomes, assess robustness of strategies
Limitations: As abstractions they oversimplify real-world constraints (transaction costs, taxes, liquidity). The results depend on the
See also: Behavioral finance, agent-based modeling, reinforcement learning in finance, portfolio theory.