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。     

股指期货的推出对现货市场影响的实证研究——基于新华富时A50的分析

股指期货的推出对现货市场波动性的影响一直备受学术界的关注,本文通过GARCH模型,分析了新加坡证券交易所推出的新华富时A50股指期货对沪深300指数的影响,发现股指期货的推出轻微地增大了现货市场的波动性,同时信息对现货市场的冲击更强;通过TARCH/EGARCH模型发现,股指期货的推出增大了现货市场的非对称效应。     

股指期货推出对现货市场影响分析——基于宏观变量剔除的实证研究

通过剔除国内经济形势、国际经济形势、投资者情绪及周内效应的影响,基于GARCH(1,1)和EGARCH(1,1)模型,对股指期货推出前后对中国现货市场价格波动性、信息效率以及现货市场非对称效应进行了实证分析。研究结果表明:沪深300股指期货的推出减小了现货市场的波动性,改善了现货市场的非对称效应,投资者对利好信息和利空信息的反应更趋理性。这表明沪深300股指期货已经初步发挥了现货市场稳定器的作用,股指期货的推出改善了信息传播的速度与质量,信息的变化能以更快的速度反映在现货市场价格上,增强了现货市场的信息效率。     

股指期货对股票现货市场波动性影响的实证研究

本文选取1984年1月13日至2008年9月10日香港恒生股指期货的日收盘价作为原始数据,建立了GARCH模型与EGARCH模型就股指期货对股票现货市场波动性的影响进行实证研究,得出香港恒生股指期货的引入在一定程度上降低了香港股票现货市场的波动性等结论。     

股指期货对A股波动性的影响

鉴于GARCH模型适合研究金融时间序列的方差随时间变化的情况,笔者采用该模型研究股指期货的推出能否减少股票市场的波动性。本文选取股指期货推出前后一年的沪深300指数的日收盘价作为原始数据,通过建立GARCH模型就股指期货对股票市场波动性的影响进行了实证研究,结果显示,股指期货的引入在一定程度上降低了我国股票现货市场的波动性,但不显著。     

股指期货的波动性研究综述

在股指期货推出初期,人们普遍认为股指期货有利于规避股票现货市场的系统风险,有利于促进现货市场健康发展,因而世界性的股指期货品种迅速涌现。市场波动性是市场价格对信息的反应而引起的波动程度,用以度量市场的风险。波动性对于市场运行效率是十分重要的,而且与市场信息效率的联系非常紧密。股指期货推出的初衷之一就是为股票现货市场投资者提供一种避险工具,规避系统性风险,进行风险管理。如果其上市后显著加剧了现货市场的波动性,则无疑加大了现货市场的风险。这便与各国地区交易所推出股指期货的初衷相违背。     

沪深300股指期货上市后对中国股市影响分析

股指期货是股票现货市场衍生出的金融避险工具,是一种金融创新.它的推出是促进中国证券市场体制变革的里程碑,使我国证券市场告别单边市时代并趋向功能完整.但股指期货对中国股票市场的影响学术界存在不同观点.为此,本文通过收集股指期货推出前后相关数据,实证分析了其对标的股价指数系统风险影响以及对股票市场价格波动的影响.研究发现:股指期货的推出短期内确实造成了中国股票市场系统性风险增加;股指期货的推出使现货市场波动性减小;引入期货市场后,“旧信息”对波动性影响减小,其快速被市场吸收、反应,即信息流速加速;样本期内我国股市中不存在冲击影响的非对称性,没有杠杆效应.     

股指期货与股票现货指数间关系研究

本文检验了沪深300股指期货和股票现货指数收益率之间的领先——滞后关系,发现股指期货和股票现货指数间存在单边关系,股指期货领先于现货指数约15分钟。另外,股指期货与现货指数都有显著的时变方差特征和波动持久性,且股指期货的波动性向现货指数单边溢出,表明股指期货对信息的反应早于现货市场。     

中国股指期货对现货市场联动效应的实证研究——基于沪深300仿真指数期货数据的分析

股指期货的推出对现货市场波动性的影响一直以来备受学术界的关注。目前的研究表明,长期内股指期货对现货市场波动性影响不明显,短期内有助推作用。本文基于中金所推出的沪深300指数仿真期货对沪深300指数的影响进行了分析,发现股指期货的推出对现货市场的波动性没有较大影响,但增大了现货市场的非对称效应;研究结果不能证明股灾时期股指期货对现货产生瀑布效应。     

沪深300指数期货与现货的相互引导关系研究

沪深300指数期货是中国证券市场上目前唯一的一款股指期货产品,通过Granger因果检验、向量误差修正模型、脉冲响应与方差分解等计量方法对其日交易数据的实证研究表明:沪深300指数期货、现货市场价格是协整的,且二者存在双向引导关系;沪深300指数期货市场对长期均衡偏离的调整力度更强,调整速度更快,对信息反应的效率更高,但在短期波动影响中,指数期货、现货市场总方差中来自期货市场的平均贡献为47.52%,来自现货市场的平均贡献为52.48%,指数现货市场对新信息融入的贡献度更高,其冲击对期货、现货市场的影响也更强烈、更持久。     

Impacts of derivative markets on spot market volatility and their persistence

In this article, we investigate the impacts of futures and options markets on the volatility of the underlying market. Unlike earlier studies, the focus is on their persistence over time. Tests on the Hang Seng index yield several interesting results that often contrast with previous findings. Empirical results suggest that the quality of new information generated by derivative trading determines the impacts on the spot market volatility. The futures market provides new, material information reducing spot market volatility. The Options market, on the other hand, generates noisy information and distorts price, which is followed by an increase in volatility and a decrease in its sensitivity to price change. While the impact of futures persists, that of options mostly disappears as the market matures. Our conjecture is that the futures market is mainly driven by informed, experienced participants, while the options market attracts new, inexperienced investors.     

Intraday return and volatility relationships between the Ibex 35 spot and futures markets

This paper analyses the intraday lead-lag relationships between returns and volatilities in the Ibex 35 spot and futures markets. Using hourly data, we jointly analyze the interactions between markets, estimating a bivariate error correction model with GARCH perturbations which captures stochastically the presence of an intraday U-shaped curve for both spot and futures market volatility. Our findings show a bidirectional causal relationship between market volatilities, with a positive feedback. This two-way transmission of volatility is consistent with market prices evolving according to a long-run equilibrium relationship, and shocks affecting both markets in the same direction. Our empirical results also support a unidirectional cross interaction from futures to spot market returns. This pattern suggests that the futures market leads the spot market in order to incorporate the arrival of new information.     

碳排放权交易市场的信息流动关系——基于EUA市场和CER市场的实证研究

基于Granger因果关系检验方法和MGARCH-BEKK模型,从报酬溢出和波动溢出的角度,研究国际碳排放权交易市场中的主要商品———EUAs和sCERs各自的期货价格与现货价格之间以及两者的期货价格之间的信息流动关系。结果表明:两个市场的现货市场始终都处于价格信息中心,期货市场的价格发现功能较弱甚至未体现;信息波动溢出方面,EUA市场中期货市场处于波动信息中心,而CER市场中现货市场处于波动信息中心;EUA的期货市场与CER的期货市场之间存在相互的价格溢出效应与波动溢出效应,但EUA市场的期货价格对CER市场具有更大的波动溢出效应。     

TRADER TYPE EFFECTS ON THE VOLATILITY‐VOLUME RELATIONSHIP EVIDENCE FROM THE KOSPI 200 INDEX FUTURES MARKET

We investigate whether the trading activity generated by investors with different access to information and trading motives has positive or negative impact on index futures volatility. Surprises in non‐member institutional, individual and foreign investors' trading volume are positively associated with volatility in most of the cases. For member institutional investors, unexpected trading volume is positively related to volatility. Long‐run changes in the trading activity also affect volatility differently across trader types. Finally, allowing for time‐to‐maturity effects, surprises in open interest are associated with more volatility towards contract expiration, contrary to the negative effect we find during normal times.     

Price and volatility dynamics between securitized real estate spot and futures markets

This study is among the first to examine the price, volatility and covariance dynamics between securitized real estate spot and futures markets. It provides a distinctive and yet complementary perspective on the predictability of real estate spot return and spot volatility based on the information from the spot market alone. The results show that for the EPRA/NAREIT Europe index, the spot market tends to lead its futures market in the long run during the sample period, which can be attributed to a rather illiquid real estate futures market in sharp contrast with a voluminous spot market. Furthermore, we find the V-shaped asymmetric effect of the basis on the futures market volatility, which represents the primary channel of strong volatility transmission between securitized real estate spot and futures markets during the whole sample and the post-crisis period. This sheds light on the hedging effectiveness for the REIT index.     

Information Transmission Between NSE50 Spot and Derivative Platforms in India: An Empirical Study

In this study, we examine the information transmission process between spot, futures and options segments for the NIFTY 50 index. The data is used from 2003 to 2013. Empirical results show that the spot market leads the price discovery process followed by the futures market and then the options market. The spot market again leads in the volatility spillover process while options dominate the futures contracts. There is a univariate skewness spillover from spot as well as futures to the options platform. Further, long term bidirectional kurtosis spillover is observed between spot and futures with former playing a more dominant role.

     

Volatility–volume co-movements: evidence from China metal markets

This article investigates the interactional relationship between price volatility and futures trading activity for three heavily traded metal products on the Shanghai Metal Exchange and the Shanghai Futures Exchange. Using models based on vector autoregression and generalized method of moments, we show, in particular, that futures trading activity has a strong impact on both spot and futures price volatility in copper and aluminium markets. Futures trading activity leads spot market volatility in copper and aluminium markets which suggests that futures markets have a destabilizing effect. In order to disentangle the effect of different traders’ types on asset price movements, we decompose futures trading into speculators’ and hedgers’ trading and investigate their contributions to volatility. As a robustness check, we investigate the impact of endogenous structural breaks on the interactional relationship between price volatility and futures trading.     

Exploiting volatility movements in the Sydney futures exchange's bank bill contract

An appropriate stochastic model was fitted to one year of data on the implied volatility of options on 90 day bank accepted bill futures contracts traded in the Sydney Futures Exchange. The model used was ARIMA augmented with day of the week variables, an option time to maturity variable, and recent values of historic volatility. The high ex-post predictive accuracy of the model was then employed as the central element of a strategy of buy low/sell high volatility.We employed two trading schemes with suitably constructed Delta neutral portfolios comprising bill futures and call and put options on those futures over a period of six months, to test whether speculative trading profit could be earned. The existence of trading profits before transaction costs validated the potential of the buy low/sell high volatility strategies to generate speculative profits. The absence of any such trading profits after transaction costs however, showed that the market pricing of these securities is such that the dependencies within implied volatility cannot be profitably exploited.This result may be interpreted as evidence supporting an hypothesis of a semi-strong form of market efficiency.     

Effects of electronic trading on the Hang Seng Index futures market

This investigation of the switch from open-outcry trading to electronic trading on the Hang Seng Index (HSI) futures contract reveals that the bid–ask spread narrows and the futures price plays more of a role in information transmission. Factors, such as anonymity in trading and fast order execution in electronic trading, attract informed traders to the futures market, enhancing the information flow. Our results provide support for the worldwide trend of transforming open-outcry markets into electronic trading platforms.