Position limit for the CSI 300 stock index futures market

被引:14
作者
Wei, Lijian [1 ,4 ]
Zhang, Wei [2 ,3 ]
Xiong, Xiong [2 ,3 ]
Shi, Lei [4 ]
机构
[1] Sun Yat Sen Univ, Sun Yat Sen Business Sch, Guangzhou 510275, Guangdong, Peoples R China
[2] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
[3] Tianjin Univ, China Ctr Social Comp & Analyt, Tianjin 300072, Peoples R China
[4] Univ Technol Sydney, UTS Business Sch, Sydney, NSW 2007, Australia
基金
澳大利亚研究理事会;
关键词
Position limit; Stock index futures; Agent-based modeling; Market quality; POLICY DESIGN; MANIPULATION;
D O I
10.1016/j.ecosys.2015.01.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
The aim of this study was to find the optimal position limit for the Chinese stock index (CSI) 300 futures market. A low position limit helps to prevent price manipulations in the spot market, and thus keeps the magnitude of instantaneous price changes within the tolerance range of policymakers. However, setting a position limit that is too low may also have negative effects on market quality. We propose an artificial limit order market with heterogeneous interacting agents to examine the impact of different levels of position limits on market quality, measured as liquidity, return volatility, efficiency of information dissemination, and trading welfare. The simulation model is based on realistic trading mechanisms, investor structure, and order submission behavior observed in the CSI 300 futures market. Our results show that on the basis of the liquidity status in September 2010, raising the position limit from 100 to 300 could significantly improve market quality and at the same time keep the maximum absolute price change per 5 s below the 2% tolerance level. However, the improvement becomes only marginal if the position limit is further increased beyond 300. Therefore, we believe that raising the position limit to a moderate level can enhance the functionality of the CSI 300 futures market, which should benefit the development of the Chinese financial system. (C) 2015 Published by Elsevier BM.
引用
收藏
页码:369 / 389
页数:21
相关论文
共 20 条
[11]   Informed traders and limit order markets [J].
Goettler, Ronald L. ;
Parlour, Christine A. ;
Rajan, Uday .
JOURNAL OF FINANCIAL ECONOMICS, 2009, 93 (01) :67-87
[12]   The Manipulator's Poker: Order-Based Manipulation in the Chinese Stock Market [J].
Kong, Dongmin ;
Wang, Maobin .
EMERGING MARKETS FINANCE AND TRADE, 2014, 50 (02) :73-98
[13]   FUTURES MANIPULATION WITH CASH SETTLEMENT [J].
KUMAR, P ;
SEPPI, DJ .
JOURNAL OF FINANCE, 1992, 47 (04) :1485-1502
[14]  
Kyle A. S., 1984, IND ORG FUTURES MARK, P141
[15]   CONTINUOUS AUCTIONS AND INSIDER TRADING [J].
KYLE, AS .
ECONOMETRICA, 1985, 53 (06) :1315-1335
[16]   Limit-order submission strategies under asymmetric information [J].
Menkhoff, Lukas ;
Osler, Carol L. ;
Schmeling, Maik .
JOURNAL OF BANKING & FINANCE, 2010, 34 (11) :2665-2677
[17]  
THEISSEN E., 2000, Journal of Financial Markets, V3, P333
[18]  
Wei L., 2014, 333 QUANT FIN RES CE
[19]   A Multi-agent System for Policy Design of Tick Size in Stock Index Futures Markets [J].
Wei, Lijian ;
Zhang, Wei ;
Xiong, Xiong ;
Zhao, Yu .
SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE, 2014, 31 (04) :512-526
[20]   CROSS-MARKET FINANCIAL RISK ANALYSIS: AN AGENT-BASED COMPUTATIONAL FINANCE [J].
Xiong, Xiong ;
Wen, Mei ;
Zhang, Wei ;
Zhang, Yong Jie .
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2011, 10 (03) :563-584