Abstract
Agent-based models of market dynamics must strike a compromise between the structural assumptions that represent the trading mechanism and the behavioural assumptions that describe the rules by which traders make their decisions. We present a structurally detailed model of an order-driven stock market and show that a minimal set of behavioural assumptions suffices to generate a leptokurtic distribution of short-term log-returns. This result supports the conjecture that the emergence of some statistical properties of financial time series is due to the microstructure of stock markets.
Cite
CITATION STYLE
LiCalzi, M., & Pellizzari, P. (2003). Fundamentalists clashing over the book: A study of order-driven stock markets. Quantitative Finance, 3(6), 470–480. https://doi.org/10.1088/1469-7688/3/6/306
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.