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论文

期货保证金调整对中国钢材市场价格发现的影响研究

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  • 1. 西安交通大学管理学院, 陕西 西安 710049;
    2. 西安电子科技大学经济与管理学院, 陕西 西安 710071;
    3. 过程控制与效率工程教育部重点实验室, 陕西 西安 710049;
    4. 中国科学院数学与系统科学研究院, 北京 100190
方雯(1982-),女(汉族),江西安义人,西安交通大学管理学院博士研究生,西安电子科技大学经济与管理学院讲师,研究方向:金融市场微观结构.

收稿日期: 2013-07-13

  修回日期: 2014-03-10

  网络出版日期: 2015-02-28

基金资助

国家自然科学基金资助项目(71390333,71001096);国家科技支撑计划(2012BAH21F01);中央高校基本科研业务费专项资金项目(JB140608)

A Study on the Effects of Adjusting Futures Margin Level on the Price Discovery of Chinese Steel Markets

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  • 1. School of Management, Xi'an Jiaotong University, Xi'an 710049, China;
    2. School of Economics and Management, Xidian University, Xi'an 710071, China;
    3. The Key Lab of the Ministry of Education for Process Control & Efficiency Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
    4. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

Received date: 2013-07-13

  Revised date: 2014-03-10

  Online published: 2015-02-28

摘要

近年来,上海期货交易所频繁调整大宗商品期货的交易保证金,以期抑制市场风险。这种调整措施给中国钢材市场的价格发现过程究竟会带来何种影响,是理论界和实践界关注的问题。本文针对上海期货交易所于2010年11月29日上调钢材期货保证金比例和2012年5月2日下调保证金比例这两项措施,采用基于VECM模型的信息份额方法,定量测算了中国三类钢材市场对钢材价格发现过程的贡献。研究结果表明,调升期货保证金的措施可抑制钢材市场价格波动风险、提升期货市场的价格发现功能;调降期货保证金后,期货市场对价格发现过程的贡献度仍占1/3以上;电子交易市场价格发现功能受期货保证金调整影响较大。在钢材期货价格剧烈波动时,电子交易市场作为价格发现工具能引导其它两类市场价格。

本文引用格式

方雯, 冯耕中, 陆凤彬, 汪寿阳 . 期货保证金调整对中国钢材市场价格发现的影响研究[J]. 中国管理科学, 2015 , 23(2) : 1 -9 . DOI: 10.16381/j.cnki.issn1003-207x.2015.02.001

Abstract

In recent years, China's steel prices often fluctuate violently. Shanghai Futures Exchange (SHFE) controls the price volatility risk by means of adjusting steel futures margin level. In Nov 29, 2010, SHFE increased the steel futures margin level from 8% to 12%, while decreased the margin level from 8% to 7% in May 2, 2012. Do these adjustment measures influence the price discovery of Chinese steel markets? The study of the effects of adjusting futures margin level on the steel price discovery is of great concern for researchers and market traders. Most previous studies have analyzed the price discovery of Chinese steel spot and futures market. However, steel traders nowadays can also trade in steel electronic market. Which market contributes more to the process of uncovering steel's full information or permanent value? Does their information contributions vary before and after the adjusting of steel futures margin level? Transaction costs are higher (lower) in the futures markets after the margin level increases (decreases). Given that the magnitude of the transaction costs determines whether a trader can profitably trade on a given piece of information, the adjustment of futures margin level should influence the price discovery of steel futures markets. Consequently, the steel price discovery process should be changed dynamically. The standard methodology to analyze price discovery is to estimate an vector error correction model. Applying this methodology to data on three steel markets are rare. The present paper contributes to this line of research. Steel futures price, steel electronic price and spot price over the period July 1st 2010-April 29th 2011 and June 7th 2011-March 21st 2013 are employed to analyze questions of price discovery of the three steel markets. Information share (IS) method based on three-dimension vector error correction model is used. Our results can be summaried as follows. The price discovery of steel futures market are enhanced by increasing of margin level whereas weakened by decreasing of margin level. Steel electronic market dominates the price discovery process when steel price flutuates violently. The dynamic of the price discovery of steel electronic market is different when futures margin level changes. This finding underpins the importance of taking the price discovery of steel electronic market explicitly into account. Important implications are provided in our results for the application of IS method to three commodity markets, and for the establishment of futures margin level in order to enhance the price discovery of Chinese steel futures market as well.

参考文献

[1] Hartzmark M L.The effects of changing margin levels on futures market activity,the composition of traders in the market,and price performance[J].Journal of Business,1986,59(2):147-180.

[2] Fishe R P H,Goldberg L G,Cosnell T F,et al.Margin requirements in futures markets:Their relationship to price volatility[J].Journal of Futures Markets,1990,10(5):541-554.

[3] Ma C K,Kao G W,Frohlich C J.Margin requirements and the behavior of silver futures prices[J].Journal of Business Finance and Accounting,1993,20(1):41-60.

[4] Hardouvelis G A,Kim D.Margin requirements,price fluctuations,and market participation in metal futures[J].Journal of Money,Credit,and Banking,1995,27(3):659-671.

[5] Kupiec P H.Margin requirements,volatility,and market integrity:What have we learned since the Crash?[J].Journal of Financial Services Research,1998,13(3):231-255.

[6] 刘轶芳,迟国泰,余方平.基于GARCH-EWMA原理的期货交易保证金随动调整模型[J].中国管理科学,2005,13(3):6-14.

[7] 宋军,吴冲锋,马弋崴,等.保证金制度、跨市套利和沪铜主力合约的迁徙行为[J].系统工程理论与实践,2008,28(8):89-97.

[8] 蒋贤锋,史永东,李慕春.期货市场保证金调整的市场风险控制作用及制度改革——来自大连商品交易所的实证分析[J].金融研究,2007,(2):74-88.

[9] Fleming J,Ostdiek B,Whaley R E.Trading costs and the relative rates of price discovery in stock,futures,and option markets[J].Journal of futures markets,1996,16(4):353-387.

[10] Choy S K,Zhang Hua.Trading costs and price discovery[J].Review of Quantitive Finance and Account,2010,34(1):37-57.

[11] Chou R K,Chung H.Decimalization,trading costs, and information transmission between ETFs and indexfutures[J].Journal of Futures Markets,2006,26(2):131-151.

[12] Chen Yulun,Gau Y F.Tick sizes and relative rates of price discovery in stock,futures,and options markets:evidence from the Taiwan stock exchange[J].Journal of Futures Markets,2009,29(1):74-93.

[13] 张肖飞,李焰.股票市场透明度、信息份额与价格发现效率[J].中国管理科学,2012,20(3):10-19.

[14] 李瑞琳,薛立言.交易税政策对台湾期货市场效率绩效之影响[R].朝阳科技大学,2005.

[15] 焦贺英,刘善存,成微.是否应提高高价股的最小报价单位?——基于人工股票市场的实验研究[J].系统工程理论与实践,2011,31(12):2252-2263.

[16] Hasbrouck J.One security,many markets:Determining the location of price discovery[J].Journal of Finance,1995,50(4):1175-1199.

[17] Yan Bingcheng,Zivot E.A structural analysis of price discovery measures[J].Journal of Financial Markets, 2010,13(1):1-19.

[18] 陈学胜,覃家琦.交叉上市股票价格发现能力差异及交易信息含量测度[J].中国管理科学,2013,21(2):9-16.

[19] Hasbrouck J.Intraday price information in U.S.equity index[J].Journal of Finance,2003,58(6):2375-2399.

[20] Baillie R T,Booth G G,Tse Y,et al.Price discovery and common factor models[J].Journal of Financial Markets,2002,5(3):309-321.

[21] Mizrach B,Neely C J.Information shares in the US Treasury Market[J].Journal of Banking & Finance,2008, 32(7):1221-1233.

[22] 陈学胜,周爱民.交叉上市股票价格发现及贡献差异的横截面分析[J].中国管理科学,2009,17(2):21-28.

[23] 石晓梅,冯耕中.大宗商品电子交易市场关键风险识别研究——基于实证的探讨[J].管理评论,2010,22(12):53-61.

[24] Gonzalo J,Granger C.Estimation of common long-memory components in cointegrated systems[J].Journal of Business and Economic Statistics,1995,13(1):27-35.

[25] Hansen B E.The new econometrics of structural change:dating breaks in U.S. labor productivity[J].Journal of Economic Perspectives,2001,15(4):117-128.
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