中国股指期现货市场间的非对称风险溢出效应——基于分位数Granger因果检验

为了揭示中国股指期现货市场之间风险溢出效应的非对称特征,本文利用已实现半方差将中国股指期现货市场的风险区分为下跌风险和上涨风险,并运用均值Granger因果检验和分位数Granger因果检验,考察两市场之间下跌风险溢出效应和上涨风险溢出效应的差异。研究发现,中国股指期现货市场之间不仅存在显著的下跌风险溢出,还存在显著的上涨风险溢出,而且溢出效应随着分位数区间不同而呈现出显著的非对称特征。一方面,期货市场对现货市场的下跌风险溢出在全部分位数区间均显著,而上涨风险溢出仅在分布的中间位置和上尾显著。另一方面,现货市场对期货市场的下跌风险溢出主要集中在尾部极端分位数区间,而上涨风险溢出主要集中在分布的中间位置和低分位数区间。     

中国螺纹钢期货市场价格发现功能研究

螺纹钢期货价格发现功能研究对我国钢铁行业提高竞争力,争取钢铁成品和铁矿石定价权,引导螺纹钢期货市场健康发展具有重要作用。本文在向量误差修正模型(VEC)中引入剔除残差相关性的最小二乘算法,构建了用于测度期现货市场价格发现功能的永久短暂PT和信息份额IS共同因子模型,弥补了现有VEC模型由于求得的期现货残差序列相关性较大,导致PT和IS模型测算的信息贡献度存在较大差异的不足。在此基础上,利用2011年1月至2014年11月中国螺纹钢期现货市场933个日交易数据,验证了模型的有效性。     

国际铜期货市场整合：沪铜国际影响凸显

本文运用含协整残差的双变量EGARCH模型,研究上海SHFE和伦敦LME铜期货市场的动态整合关系.统计结果显示两个市场的收益及其风险存在对称的溢出效应,全球铜市供求因素驱动最新收益和风险信息在两者之间传递。沪铜期货有突出的国际定价影响.在全球24小时交易中,LME和SHFE交替成为国际铜价的主要信息来源.SHFE和LME市场的收益变化均以对方市场的影响为主;市场风险则以本市场的影响为主.影响两个市场动态整合度的因素有滞后一期的市场风险、沪铜成交量、伦铜的超额收益等。     

中国玉米期货市场价格发现功能的实证分析

利用相关系数、协整检验、格兰杰因果检验以及GS模型等方法对大连期货交易所玉米期货市场的发现价格功能进行了实证分析.结果表明:玉米期货价格与现货价格之间存在协整关系,期货价格具有良好的发现价格功能;存在期货价格和现货价格的双向格兰杰引导关系;玉米期货市场的发现价格功能中期货价格起着决定性的作用.     

郑州白糖期货的因果图分析

主要探讨郑州白糖期货价、纽约白糖期货价和郑州白糖现货价格三者之间的动态关系,利用图模型方法、多维的多元线性回归等方法来分析它们之间的相互影响关系.又由于三者之间的关系受到牛市、熊市等市场因素的影响,故在熊市、牛市和震荡市三种情况下分别探讨三者的关联性.结果显示:不论市场是熊市还是牛市或者是震荡市,郑州白糖期货价都受到纽约白糖期货价的影响作用,郑州白糖现货价都受到郑州白糖期货价的影响;在市场为牛市时,纽约白糖期货价对郑州白糖现货价有显著影响.     

碳市场EUA与CER 期货价格变动关系的实证研究

基于VAR模型,对碳市场中的EUA期货价格和CER期货价格的变动关系进行了实证研究．选取欧洲气候交易所（ECX）的EUA期货价格和CER期货价格作为研究对象,运用Johansen协整检验、Granger因果关系检验、向量误差修正模型、广义脉冲响应函数和方差分解方法形成递进式的计量分析框架．研究结果表明：第一,EUA期货价格与CER期货价格之间存在着相互影响关系;第二,CER期货价格对市场信息的反映比EUA期货价格更为敏感,反映速度更快;第三,两种价格之间,CER期货价格变动的影响起主导作用,更好地发挥了期货的定价功能,两市场间存在杠杆效应．     

Static Hedging with Uncertain Quantity and Departure from the Cost-of-Carry Valuation

In this paper, we are concerned with the optimal hedge ratio under quantity risk as well as discrepancies between the futures market price and its theoretical valuation according to the cost- of-carry model. Assuming a geometric Brownian motion for forecasting process, we model mispricing as a specific noise corn poncnt in the dynamics of filturcs market prices, based on which the optimal hedging strategy is calculated. Finally, we illustrate optimal strategy and its properties by numerical examples.     

中国商品期货风险溢价的实证检验

本文采用2003年12月到2013年11月期间的金属类期货、农产品类期货,燃油化工类期货的数据,利用线性回归方法,对这三类期货的风险溢价、系统风险溢价和基差风险溢价的存在性进行了检验。研究结果表明:大部分商品期货存在风险溢价,同种商品期货风险溢价的存在性随到期日变化;资本市场对金属类和农产品类商品期货的系统风险溢价影响显著;绝大部分商品期货存在基差风险溢价。     

夜盘交易对我国农产品期货市场影响的实证研究

随着我国农产品期货与国际市场的联动性进一步加强,为防止相关期货产品的隔夜风险和价格跳水问题,对部分农产品期货实行夜盘交易制度。为测度夜盘交易制度是否有益于农产品期货市场朝着稳定、理性的方向发展,本文采用了适合刻画金融序列波动性的GARCH族模型,实证检验得出GARCH、GARCH-M和EGARCH模型能够高度拟合农产品期货的价格序列并显著衡量夜盘交易对于我国农产品期货市场的影响。研究结论如下:第一、基于GRACH模型实证结果,夜盘交易制度变量的回归结果显著,该制度能减轻农产品期货的价格波动,且其影响是显著的;第二、EGARCH模型的回归结果同样显著,分别对比不同样本期的EGARCH模型实证结果可以得到,夜盘交易的开放减少了农产品期货市场的非对称性,使得市场趋向于理性的方向发展。     

我国铝期货、铝现货与废铝价格动态关系的实证研究

利用Johansen协整检验、Granger因果检验以及向量误差修正(VEC)模型、脉冲响应分析和方差分解分析,从三个不同的角度对我国铝期货、铝现货和废铝市场价格间的动态关系进行了实证分析,研究结果表明:从引导关系看,铝期货价格与铝现货价格之间具有协整关系,并且铝期货价格对铝现货价格及废铝价格具有单向价格引导关系,铝现货价格对废铝价格具有单向价格引导关系;从冲击反应看,铝期货对铝现货的冲击比较强烈,而铝期货对废铝以及铝现货对废铝的冲击相对比较和缓;从价格发现程度看,铝期货市场具有最强的价格发现能力,铝现货价格发现能力次之,废铝的价格发现能力最弱,表明铝期货是价格发现过程的主要驱动力量.     

期货市场中持仓量及参与者对资产价格的影响研究

本文通过建立一个期货市场的均衡模型,提出在具有套保需求和有限风险承受能力的前提下,期货价格能够预测未来资产价格变动的方向,持仓量能够辅助预测未来资产价格变动的剧烈程度;此外,市场中不知情投机者具有风险调整市场收益的作用,不知情套保者的参与能够稳定市场。对于持仓量是否能够辅助预测未来资产价格变动的剧烈程度,本文利用中国商品期货市场数据进行了实证检验,结果表明与理论研究的结论一致。     

天然气期货和现货价格间的相关性研究

基于天然气期货价格与现货价格序列间具有强非线性特征,本文将GARCH模型和Copula函数思想进行结合,同时考虑了天然气期货和现货价格间的时变相关结构,构建了时变Copula(GARCH-Normal、GARCH-GED和GARCH-t)模型,利用美国纽约商品交易所(NYMEX)Henry Hub交易中心天然气期货价格和现货价格数据进行实证研究。实证结果表明:GARCH-GED模型能够准确地拟合天然气期货与现货价格时间序列;时变SJC-Copula函数能够更好的描述天然气期货价格与现货价格间的相关性;天然气期货与现货价格间的相关性不是对称的,上尾的相关性小于下尾相的相关性。     

A non-Gaussian Ornstein–Uhlenbeck model for pricing wind power futures

The recent introduction of wind power futures written on the German wind power production index has brought with it new interesting challenges in terms of modelling and pricing. Some particularities of this product are the strong seasonal component embedded in the underlying, the fact that the wind index is bounded from both above and below and also that the futures are settled against a synthetically generated spot index. Here, we consider the non-Gaussian Ornstein–Uhlenbeck type processes proposed by Barndorff-Nielsen and Shephard in the context of modelling the wind power production index. We discuss the properties of the model and estimation of the model parameters. Further, the model allows for an analytical formula for pricing wind power futures. We provide an empirical study, where the model is calibrated to 37 years of German wind power production index that is synthetically generated assuming a constant level of installed capacity. Also, based on 1 year of observed prices for wind power futures with different delivery periods, we study the market price of risk. Generally, we find a negative risk premium whose magnitude decreases as the length of the delivery period increases. To further demonstrate the benefits of our proposed model, we address the pricing of European options written on wind power futures, which can be achieved through Fourier techniques.     

Pricing stock and bond derivatives with a multi-factor Gaussian model

The martingale approach to pricing contingent claims can be applied in a multiple state variable model. The idea is used to derive the prices of derivative securities (futures on stock and bond futures, options on stocks, bonds and futures) given a continuous time Gaussian multi-factor model of the returns of stocks and bonds. The bond market is similar to Langetieg's multi-factor model, which has closed-form solutions. This model is a generalization of Vasicek's model, where the term structure depends on state variables following correlated mean reverting processes. The stock market is affected by systematic and unsystematic risk.     

中国棉花期货市场价格发现功能研究

期货市场和现货市场之间的价格发现功能一直是监管部门和投资者十分关心的问题。本文借助信息共享模型、脉冲响应函数和方差分解等方法，对中国棉花期货市场和现货市场的价格关系进行了实证研究。研究结果表明：棉花期货价格和现货价格之间存在显著的双向引导关系和长期均衡关系；期货市场和现货市场都扮演价格发现角色，且期货市场在价格发现中处于主导地位。     

中国期货市场与现货市场的价格引导与价格发现

长期以来对期货市场与现货市场价格关系的实证研究都是基于时间序列方法的研究.为了克服时间序列方法存在着的不足,将使用面板数据方法,在面板单位根检验以及面板协整检验和协整估计的基础上,构建面板误差修正模型来分析期货价格和现货价格的均衡以及相互引导关系.进一步的,在误差修正模型的基础上我们采用信息份额方法(I-S模型)和共同因子贡献法(P-T模型)分析了期货市场和现货市场的价格发现功能.通过上述研究,发现总体上讲我国大宗商品的期货价格和现货价格之间存在着长期均衡,并且表现出了相互引导互为Granger因果的关系.利用I-S模型和P-T模型测算出来的期货市场对价格形成的贡献度分别为88.17%和79.44%,这说明当前我国的期货市场总体上讲是有效率的市场.     

Pricing and clearing combinatorial markets with singleton and swap orders

In this article we consider combinatorial markets with valuations only for singletons and pairs of buy/sell-orders for swapping two items in equal quantity. We provide an algorithm that permits polynomial time market-clearing and -pricing. The results are presented in the context of our main application: the futures opening auction problem. Futures contracts are an important tool to mitigate market risk and counterparty credit risk. In futures markets these contracts can be traded with varying expiration dates and underlyings. A common hedging strategy is to roll positions forward into the next expiration date, however this strategy comes with significant operational risk. To address this risk, exchanges started to offer so-called futures contract combinations, which allow the traders for swapping two futures contracts with different expiration dates or for swapping two futures contracts with different underlyings. In theory, the price is in both cases the difference of the two involved futures contracts. However, in particular in the opening auctions price inefficiencies often occur due to suboptimal clearing, leading to potential arbitrage opportunities. We present a minimum cost flow formulation of the futures opening auction problem that guarantees consistent prices. The core ideas are to model orders as arcs in a network, to enforce the equilibrium conditions with the help of two hierarchical objectives, and to combine these objectives into a single weighted objective while preserving the price information of dual optimal solutions. The resulting optimization problem can be solved in polynomial time and computational tests establish an empirical performance suitable for production environments.     

我国期货市场违约风险的研究

引入违约距离的概念,建立了期货市场违约风险评估模型,采用GARCH-M模型对期货合约价格收益的波动率进行估计.运用此模型研究了郑州商品交易所上市品种小麦的违约风险,所得结果与实际市场结果相吻合.因此,可以运用本文提出的期货市场违约风险评估模型能预测临近交割月时期货市场发生违约的概率,实时捕捉期货市场发生违约事件的信息.     

Causal analysis of futures sugar prices in Zhengzhou

In this paper, we are interested in investigating the causal relationships among futures sugar prices in the Zhengzhou futures exchange market (ZF), the spot sugar prices in Zhengzhou (ZS) and the futures sugar prices in New York futures exchange market (NF). A useful tool called Bayesian network is introduced to analyze the problem. Since there are only three variables in our Bayesian network, the algorithm is straightforward: we display all the 25 possible network structures and adopt certain scoring metrics to evaluate them. We applied five different scoring metrics in total. Firstly, for each metric, we obtained 24 scores, each calculated from one of the 24 possible structures i.e. a Directed Acyclic Graph (DAG). Then we eliminated the network structure which represents the independence of the three variables according to our prior knowledge concerning the futures sugar market. After that, the optimal network structure which implies the causal relationships was selected according to the corresponding scoring metric. Finally, after comparing the results from different scoring metrics, we obtained the relatively affirmative conclusion that ZS causes ZF from both the Bayesian Dirichlet (BD) metric, Bayesian Dirichlet-Akaike Information Criterion (BD-AIC) metric, Bayesian Dirichlet-Bayesian Information Criterion (BD-BIC) metric and Bayesian Information Criterion (BIC) metric. The conclusions that NF causes ZF and ZF causes ZS from the Akaike Information Criterion (AIC) metric and ZF causes ZS from the BIC metric were useful and significant to our investigation.     

Modeling futures price dynamics on the RTS and MICEX indices

Reasons for the substantial differences of historical and theoretical futures prices on RTS and MICEX indices are investigated. A model is proposed that considers the observed differences for the modeling of futures prices within the risk assessment of a portfolio of derivatives using the Monte Carlo method.