上证50指数收益率特征及其波动性分析

研究国内非综合指数即成份指数(上证50指数)的收益率特征及其波动性,可以估计得出对指数风险收益具有较好预测作用的自回归———GARCH(1,1)-M模型,并实证分析指数收益的风险特性、稳定性、波动性等特征,这对当前探讨上证50指数相关指数衍生品推出及其投资分析均具有重要意义。     

基于VAR模型上证50指数的风险实证研究

随着中国金融期货交易所的成立，我国股指期货的推出就越来越临近了，但股指期货是一种风险较高的金融衍生产品，因此，在股指期货推出之前，需要研究有关指数的市场风险。以上证50指数作为研究标的，在对其随机性、平稳性和正态性检验的基础上，结合国际上广泛采用的市场风险测量工具——VaR（valueatrisk），对测量上证50指数市场风险相关问题进行实证研究，结果表明在中国的证券市场GARCH模型的结论是最准确的。     

基于B-S模型的上证50ETF期权定价研究

ETF(交易型的开放式指数基金),可以在交易所内上市进行交易并且基金的份额是可变的,在开放式的基金中是一种极其特殊的基金。ETF的优点是它结合了俩大类基金——封闭式和开放式的运作特点:第一、交易成本低;第二、当天可以套利;第三、具有高透明性。本文以上证50ETF为研究的对象,通过对模型中的参数进行分析来分析期权的基本信息。以Excel、MATLAB为工具,利用历史波动率来估计标的资产收益率的波动率,代入B-S模型中对期权进行定价计算,并将计算出的结果与期权的市场价格进行对比,分析定价误差(真实市场价格与B-S模型价格差)产生的可能原因。     

上证50ETF跟踪误差实证研究

以上证50ETF作为研究对象,选取2005-2009年的日收盘数据构建数据样本,运用跟踪偏离度分析和回归模型分析,研究了上证50指数的跟踪误差状况,根据误差变化及波动的原因,提出相应的政策建议。     

基于BS模型的上证50ETF期权实证研究

本文基于Black-Scholes定价模型对上证50ETF期权的价格进行实证研究,用控制变量法分析影响期权价格的五个因素(标的资产现价、期权执行价格、无风险利率、波动率、期限),通过R软件实现对上海证券交易所挂牌交易的上证ETF期权的实证检验,将利用Black-Scholes模型计算出来的期权理论价格与实际收盘价进行对比,分析实际期权价格与测算价格差异产生的原因。     

基于OLS模型的我国上证50指数最优套期保值比率的实证研究

本文使用667个中国上证50指数期货价格与现货价格的数据,具体利用确定套期保值比率的简单最小二乘法(OLS)对中国上证50指数的最佳套期保值比率进行了实证研究。并从风险最小化的角度和效用最大化的角度分析了该套期保值的绩效。     

基于GARCH和E-GARCH模型的投资组合波动预测分析:以上证50指数为例

通过借助GARCH模型和考虑数据不对称性的E-GARCH模型,分析上证50指数投资组合波动的预测性,实证结果发现:上证50指数日收益率波动均存在条件异方差,市场收益率的波动随时间的变化而变化,而且经常在某一时刻中连续出现偏高或偏低的情况;另一方面,从GARCH模型和E-GARCH模型对上证50指数的预测比较可看出,选取的上证50指数样本数据具有一定的不对称性,短期来看,GARCH模型和E-GARCH模型都能够很好的拟合上证50指数的日收益率波动轨迹,预测误差较小。但随着样本期的延伸,相对于GARCH模型,E-GARCH模型预测效果的相对误差更小。     

沪深300股指期货与现货的价格发现分析——基于频带分解的视角

运用集合经验模式分解方法(EEMD)对沪深300股指期货与现货价格进行频带分解,并在重构不同周期长度的波动分量的基础上,应用向量自回归、Granger因果检验分析指数期货与现货在对应短周期、中周期波动分量与长期趋势分量间的引导关系,结果表明:指数期货与现货间的价格发现关系具有随着波动成分周期长度不同而变化的结构化特征;在短周期波动分量上,指数期货对现货存在较为有限的价格发现能力;而在中周期波动分量与长期趋势分量上,现货在价格发现中居主要地位。     

Price Discovery in Interrelated Markets

In this study, we generalize the information share (IS) proposed by Hasbrouck (1995) and extended by Lien and Shrestha (2009). The new generalized information share (GIS) can be used to analyze the price discovery process in interrelated securities markets, whereas the previous two measures can only be applied to almost identical markets. Thus, using the GIS, we can analyze broader markets thereby improving our understanding of the price discovery process as well as the efficiency of securities markets. As an empirical demonstration of the proposed method, we apply the GIS to credit default swap (CDS) and bond markets, and find that for the majority of cases price discovery mostly takes place in the CDS markets. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:203–219, 2014     

Market Efficiency and Price Discovery in Cocoa Markets

ABSTRACT

This paper tests the efficiency and price discovery mechanism in the cocoa cash and futures markets over the period March 1981–August 2009. The results indicate that the price discovery is done in the cash market and spreads to the futures markets and that the futures price can be seen as an unbiased predictor of future cash prices. There is no sign of a risk premium in the futures price. Since the cash behaves like a random walk we cannot reject market efficiency.     

Price discovery among SSE 50 Index-based spot,futures, and options markets

This paper studies the contribution of newly launched SSE 50 Index-based options and futures to price discovery. We find that the derivatives markets quickly begin exhibiting price leadership over the corresponding spot market, despite their short history; the information share from both derivatives markets rose from 59.84% in mid-2015 to 84.6% in mid-2017. Using substantial regulation changes during the sample period, we test the trading cost hypothesis. The increases in derivatives transaction costs do not immediately impede their roles in price discovery. Findings suggest that in nascent and immature markets, investors’ trading experience matters more than trading costs.     

Does International Order Flow Contribute to Price Discovery in Futures Markets?

This study examines whether order flow originating from overseas contributes to price discovery in domestic futures markets. This issue is examined using a unique dataset for stock index futures traded on the Australian Securities Exchange that identifies the geographic location of computer servers on which orders are placed. We find that (i) transactions originating from overseas servers have a significant impact on the price volatility of stock index futures; (ii) trades initiated from international servers also have a permanent impact on price; and (iii) price movements caused by trades initiated from overseas servers lead those on domestic servers and make a greater contribution to price discovery. Our results confirm that international order flow is important in the price discovery process in domestic markets.     

Price monotonicity violations during stock market crashes: Evidence from the SSE 50 ETF options market

This study empirically tests whether price violations, as defined by Bakshi, Cao, and Chen (2000), show different patterns in response to market shocks. Specifically, we analyze the Chinese options market during a period covering a stock market crash and a series of trading restrictions in the Chinese derivatives markets. Our results confirm the significant changes of the defined violations in the face of unexpected shocks, and more importantly, we interpret such variations from the perspective of information spillovers. Our findings suggest that the stock market crash prompts informed traders in the Chinese options market to frequently adjust their positions on put options, exacerbating the misunderstandings and overreactions to new information. Further, the regulatory shock in the derivatives markets diminishes the efficiency of information incorporation for both options and spot markets but does not affect the dominance of the Chinese options market in price discovery.