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Securities Transaction Tax and Stock Market Behavior in an Agent-based Financial Market Model
Abstract:

As highly related to the investors' earnings expectations and trading decision-making behavior, securities transaction tax (STT) has long been regarded as a typical regulatory mechanism exploited by policy makers. However, neither theoretical analysis nor empirical studies reach consensus about the role and policy effect of the securities transaction tax. Within the framework of agent-based computational finance, this paper presents a new artificial stock market model with heterogeneous agents, which allows us to assess the impacts of varying STTs on market behavior to come to robust conclusions. First we investigate the dynamics of benchmark market with no tax levied, and then market behaviors with different STTs are thoroughly checked. The results show that a modest transactions tax does contribute to stabilize markets by reducing market volatility, but its negative effects on market efficiency cannot be ignored at the same time. The findings suggest that regulatory authorities should introduce STT discreetly to strike a balance between stability and efficiency.

Keywords: Computational finance ; Security transaction taxes ; Heterogeneous agents model ; Regulatory policies
Author(s): Hongquan Li , Mengyun Tang , Wei Shang , Shouyang Wang
Source: Procedia Computer Science 18 ( 2013 ) 1764 – 1773, sciencedirect.com
Subject: مدیریت مالی
Category: مقالات ترجمه شده - دانلود ترجمه مقاله
Release Date: 2013
No of Pages: 10
Price(Tomans): 0
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