Paper Info
Title
An Agent-Based Model of a Pricing Process with Power Law, Volatility Clustering, and Jumps.
Abstract
In this paper, we propose a new model of security price dynamics in order to explain the stylized facts of the pricing process such as power law distribution, volatility clustering, jumps, and structural changes. We assume that there are two types of agents in the financial market: speculators and fundamental investors. Speculators use past prices to predict future prices and only buy assets whose prices are expected to rise. Fundamental investors attach a certain value to each asset and buy when the asset is undervalued by the market. When the expectations of agents are exogenously driven, that is, entirely shaped by exogenous news, then they can be modeled as following a random walk. We assume that the information related to the two types of agents in the model will arrive randomly with a certain probability distribution and change the viewpoint of the agents according to a certain percentage. Our simulated results show that this model can simulate well the random walk of asset prices and explain the power-law tail distribution of returns, volatility clustering, jumps, and structural changes of asset prices.
Year
DOI
Venue
2019
10.1155/2019/3429412
COMPLEXITY
Field
DocType
Volume
Speculation,Econometrics,Agent-based model,Pareto distribution,Control theory,Random walk,Stylized fact,Probability distribution,Volatility clustering,Financial market,Mathematics
Journal
2019
ISSN
Citations 
PageRank 
1076-2787
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Yu Shi1164.42
Qixuan Luo200.34
Handong Li331.13