The impact of imitation on long memory in an order-driven market

Blake LeBaron; Ryuichi Yamamoto

doi:10.1057/eej.2008.32

The impact of imitation on long memory in an order-driven market

Blake LeBaron, Ryuichi Yamamoto

Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

Abstract

Recent research has documented that learning and evolution are capable of generating many well-known features in financial times series. We extend the results of LeBaron and Yamamoto (2007) to explore the impact of varying amounts of imitation and agent learning in a simple order-driven market. We show that in our framework, imitation is critical to the generation of long memory persistence in many financial time series. This shows that imitation across trader behavior is probably crucial for understanding the dynamics of prices and trading volume.

Original language	English
Pages (from-to)	504-517
Number of pages	14
Journal	Eastern Economic Journal
Volume	34
Issue number	4
DOIs	https://doi.org/10.1057/eej.2008.32
Publication status	Published - 2008 Nov 12
Externally published	Yes

ASJC Scopus subject areas

Economics and Econometrics

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