基于国际原油市场中不同交易者行为的原油价格动态分析

原油的期货价格是市场对未来现货市场价格的预估值,文章根据期货市场出清时,期货合约的总需求为零的条件建立包含套利、套期保值和期货投机交易行为的原油期货价格模型。采用FMOLS估计和Phillips-Ouliaris残差单位根检验法考察原油期货市场上的三类主体,套利者、套期保值者和期货投机者的市场交易行为与NYMEX的不同到期月份的WTI原油期货合约价格的动态关系。结果表明,原油期货市场已成为期货投机者的乐土,而对承担套期保值者转嫁风险的作用有限,原油期货投机对期货价格的决定作用远大于套利交易和套期保值交易,未来现货价格预期对期货价格的影响也非常小。     

基于波动效应与价格发现的期指仿真交易研究

采用修正的GARCH模型和向量误差修正模型（VEC）将股指期货推出后现货市场波动性的变化和股指期货与现货市场的价格发现功能结合起来进行对比研究发现,期指仿真交易的推出对于现货市场效率的改进确实存在正面的影响。其引入在短期内加大了现货市场的波动,但这一波动正是市场信息流动加速的反映,因而提高了市场信息的传递效率。研究同时也表明,期货价格领先于现货价格,存在由期货市场到现货市场长期的单向因果关系,说明期货价格具有引导现货价格向均衡方向调整的功能,从而在经验上支持了股指期货市场的开放政策。     

对中国沪铜期货市场定价效率的实证分析

期货市场的定价效率关系到期货市场各项功能的有效发挥,是评价期货市场有效性的核心指标。通过借助协整分析方法对中国沪铜市场期现价格之间的关系进行实证分析可以有效地评价中国沪铜期货市场的价格发现能力,而误差修正模型的建立则有助于考察在均衡关系下沪铜期货价格对现货价格的长期调节。实证结果显示,中国沪铜期货市场具有较强的定价效率,对现货价格做出合理预测,最佳预测区间应在一个月内,并且沪铜期货价格在短期内影响现货价格背离原有趋势向长期均衡收敛。     

中国农产品期货市场效率实证分析:1998-2002

本文旨在检验1998-2002年我国小麦和大豆期货市场效率并对农产品期货市场和现货市场做出相应评估.通过采纳Johansen协整检验方法,论文针对三种不同的现货价格以及预测跨度从1周到6个月不等的期货价格进行了正式统计检验.结果表明,我国大豆期货价格与现货价格之间存在长期均衡关系,大豆期货市场的短期效率相对较高.小麦期货市场缺乏效率,这可能应当归因于期货市场发展尚不成熟以及投机过度.     

推出我国生猪期货品种的探讨

<正> 一、期货品种的上市条件 根据国外经验,期货品种上市一般要具备以下四个条件:①大宗商品,有大量的现货交易。②价格频繁波动。③品质容易划分。④耐储存。但随着期货市场的发展,期货市场价格发现功能充分发挥,有些期货品种推出仅仅是因为期货市场是一个高效率的市场,可以形成预期的、统一的、具有权威性的期货价格。在成熟的期货市场上,集中竞价形成的期货价格实质上是交易者对不同信息通过博弈形成趋同信息的度量,价格只不过是信息度量值之一,而整个期货交易并不涉及实物交割。例如CME推出的天气和降雪期货。即使是     

我国豆油期货与现货价格协整关系分析

本文以大连商品交易所豆油期货为对象,研究了期货与现货价格之间的动态关系,定量分析了期货与现货市场在价格发现中作用的大小。研究表明:豆油期货价格与现货价格之间存在长期均衡关系,大连豆油期货单向引导现货价格且豆油期货市场在价格发现功能中起着主导作用。     

中国黄金期货与黄金现货价格的实证分析

意旨探索中国黄金现货价格对黄金期货价格形成的作用机制。借助ADL模型和共同因子贡献法进行实证分析,研究了中国黄金期货价格与黄金现货价格的关系。研究表明,中国黄金期货价格与现货价格长期趋势是一致的,但是短期存在比较大的偏差,同时中国黄金期货和现货价格波动率序列之间有较高的依存度。由此中国黄金期货市场已具备一定规避风险的功能。     

股票价格、期货价格与现货价格关联性——基于煤炭股票、期货、现货的实证研究

股票价格在受到相关产业发展状况、行业上下游产品等因素影响的同时也受投资者对于行业发展前景理性预期的影响,后者同投资者对期货市场价格的理性预期影响是类似的。文章采用ADF检验、Johansen协整检验与向量误差修正模型(VECM)对焦炭股票、期货和现货价格之间进行实证分析,证实了股票价格与期货价格在一定程度上具有替代关系,并得出期货市场价格发现机制效率高于股票市场价格发现机制效率的结论。     

中国铜期货市场的配置效率研究

配置效率是期货市场整体效率研究的重要基石。本文通过协整检验、格兰杰因果关系检验、误差修正模型、状态空闻模型,检验期货市场配置效率的实现性和实现效度。研究结果表明：我国期货市场投机因素是存在的;期货价格和现货价格的运动方向基本一致;我国铜期货市场价格发现功能已基本具有;期货价格对现货价格的静态引导系数为0．9877,短期动态系数08809;2007年至今,我国期货市场配置效力达到理想稳定状态。     

中国铜期货市场的配置效率研究

配置效率是期货市场整体效率研究的重要基石.本文通过协整检验、格兰杰因果关系检验、误差修正模型、状态空间模型,检验期货市场配置效率的实现性和实现效度.研究结果表明:我国期货市场投机因素是存在的;期货价格和现货价格的运动方向基本一致;我国铜期货市场价格发现功能已基本具有;期货价格对现货价格的静态引导系数为0.9877,短期动态系数0.8809;2007年至今,我国期货市场配置效力达到理想稳定状态.     

Conservative traders,natural selection and market efficiency

This paper examines the impact of conservative traders on market efficiency in an evolutionary model of a commodity futures market. This paper shows that the long-run market outcome is informationally efficient, as long as in every period there is a positive probability that entering traders are more conservative than their predecessors. Conservative traders are those who correctly predict the spot price with a positive probability, and more importantly, who in their mistakes err on the side of caution, and rarely overpredict the spot price as buyers, and underpredict the spot price as sellers. This result does not require entry of traders with better information than their predecessors.     

Strategic noise traders and liquidity pressure with a physically deliverable futures contract

Do physically deliverable futures contracts induce liquidity pressure in the underlying spot market? The answer is believed to be no since the asset is delivered sometimes after the expiration of the contract so that the futures trader's payoff does not clearly depend on the price of the underlying stock at expiration. We construct a rational expectations equilibrium model in which a strategic uninformed trader induces liquidity pressure in the underlying spot market at the expiration of a physically deliverable futures contract. Liquidity pressure is the result of a pure informational advantage: if it is known that futures traders hedge their position in the spot market then a strategic trader with no information about the fundamental value of the underlying has an incentive to create noise in the futures market in order to gain information on the composition of the spot order flow at future auctions. We show that informed traders benefit from this form of strategic noise and that the efficiency of the prices remains unaffected.     

A frequency domain causality investigation between futures and spot prices of Indian commodity markets

This paper examines the direction, strength and extent of causal relationship between futures and spot prices of Indian commodity markets using frequency domain approach of Breitung and Candelon (2006). Frequency domain analysis offers an effective alternative tool by examining the causality in frequency domain, whereas in traditional econometric causality analysis tools focus only on the time domain. Daily futures and spot price series on eight commodities from the Indian commodity exchanges (MCX and NCDEX) were examined for the period 3rd January, 2008 to 31st December, 2012. The results of frequency domain analysis suggest that there is a strong uni-directional relationship from futures to spot in almost all the selected commodities. This indicates that futures market has a powerful price discovery function in all the selected commodities; which in turn indicates the efficiency of Indian commodity futures market.     

沪铜期货市场价格发现的动态贡献——基于状态空间模型的实证研究

商品期货价格与现货价格的相互关系一直是学术界研究的热点,但大都基于静态的模型。本文从期货定价的持有成本理论出发,通过误差修正方程构建状态空间模型,利用卡尔曼滤波算法从动态的角度研究了2004-2012年期间我国沪铜期货市场价格发现的贡献。实证结果显示:2004-2012年,我国沪铜期货市场价格发现的贡献随着时间的变化而变化。2004-2008年逐步增强;2008年金融危机后,逐步下滑,到2010年,落后于现货市场;之后又有回升趋势。总体来看,沪铜期货市场在价格发现中处于主导地位,但具有明显的波动性。     

Market Dynamics,Programmed Traders and Futures Markets: Beginning the Laboratory Search for a Smoking Gun

Recent events have caused a re-examination of the role of programmed traders and futures markets in generating destabilizing price movements. Laboratory experiments provide an ideal environment to isolate their effects on behaviour. In a new series of experiments we find that program traders and futures markets can be crucial for ensuring the informational efficiency of the spot market, even when the former are active participants in bubbles and crashes     

中国IPO定价效率研究 ——基于IPO抑价率和EFF值的比较分析

IPO定价效率是IPO市场的一个研究热点。本文以沪深A股市场首次公开发行并上市的新股为样本,通过IPO抑价率和EFF值指标比较分析了IPO定价效率的行业特征和定价制度特征。研究表明：EFF均值在行业之间的差异不显著,而IR均值在行业之间差异显著;我国IPO定价效率未随时间推移而不断提高,EFF值和IR值呈现出无趋势的特征。在此基础上,本文认为我国IPO定价效率不高的主要原因不是一级市场低价发行,而是二级市场投资者的追捧和半市场化性质的改革,提高IPO定价效率的根本途径在于回归市场化改革。     

Price Discovery and Efficiency of Indian Agricultural Commodity Futures Market: An Empirical Investigation

This study examines the price discovery process and relative efficiency of ten most liquid agricultural commodities’ futures contracts, traded on the largest agricultural commodity exchange of India (National Commodity and Derivative Exchange Limited). Three different common factor methodologies—component share method (Gonzalo and Granger in J Bus Econ Stat 13:27–35, 1995), information share method (Hasbrouck in J Financ 50:1175–1199, 1995), and modified information share method (Lien and Shrestha in J Futures Mark 29:377–395, 2009)—have been employed to determine the extent of price discovery contribution by spot and futures markets. The sample consists of daily data for the period from January 1, 2009 to October 20, 2015. Stationarity and Cointegration test results reveal that spot and futures prices are integrated and cointegrated for all commodities. The price discovery results show that the futures market leads the spot market in case of six commodities, i.e., castor seed, coriander, cottonseed oilcake, soy oil, sugarM and turmeric. Whereas, in the case of four commodities (chana (chickpea), guar seed, jeera, and mustard seed), price discovery takes place in the spot market. Therefore, it could be inferred that futures market is more efficient in price discovery of agricultural commodities. Policymakers could use these results to design futures contracts on other commodities or to plan concrete policies to curb speculation without hampering the efficiency of the agricultural commodity derivatives market.

     

中国期货市场有效性研究

本文介绍了期货市场有效性理论，利用Johansen市场拟合检测方法分析国内两个主要农产品期货品种——大豆和小麦的期货价格和现货价格表现，结果显示大豆的期货价格和现货价格较长时间是一致的，大豆期货市场是有效的．但大豆期货市场仅仅短期有效，小麦期货市场则是无效的。     

What explains long memory in futures price volatility?

Long memory in futures price volatility is a well-documented stylized fact with implications for market efficiency, risk management, forecasting and option pricing bias. The implications of long-memory differ, however, based on whether it is of a ‘fractional’ or of a ‘stochastic’ type. The aims of this article are to determine, in the case of agricultural commodity futures data, which type better describes price volatility and also to evaluate several competing explanations for findings of long memory. The evidence presented here finds little support for three out of four potential explanations, namely, excessive noise in the volatility measure, bias in the long-memory estimator and understated SEs of the long-memory parameter. For the data considered, price volatility appears to be most likely generated by a nonfractional long-memory process such as a stochastic break or stochastic unit root.