对比国家股票市场收益的长记忆性

对于有效市场假说的检验而言,股票市场收益的长记忆性有着特别重要的意义。通常使用的长记忆性研究方法有经典R/S分析、修正R/S分析与对数周期图法等。本文根据实际情况,使用了修正R/S分析和V/S分析方法,有效的分析和研究了世界上31个国家的股票市场收益的长记忆性。通过分析研究的结果可以得出:对于大多数发达国家而言,其股市很少存在长记忆性,,而印度等发展中国家,存在比较明显显的长记忆性,尤其对于中国股市而言,其长记忆性很强。由此可知,V/S分析比修正R/S分析更加稳健有效。     

股市收益和波动性长期记忆的国际比较——基于V/S的经验证据

现有研究运用经典和修正R/S分析探讨我国股票市场的长期记忆效应。本文运用更为稳健的V/S分析,对比研究上证股市和另外7个国家和地区的股票市场,分别诊断各股市日收益和周收益、及三种典型度量的收益波动的长期记忆效应。研究表明:股市日收益和周收益序列都不存在显著的长期记忆;三种典型度量的收益波动普遍存在显著的长期记忆;日收益波动比周收益波动的长期记忆更显著。     

上证50ETF股指期货收益率及波动性长记忆性研究

文章采用KPSS-ADF联合检验、R/S分析以及修正的R/S分析检验上证50ETF股指期货收益率及波动性的长记忆性,对存在长记忆性的变量序列构建FIGARCH模型及FIEGARCH模型,并对两个模型的拟合优度的进行比较分析。结果显示,波动率序列呈现出明显的长记忆性,而收益率序列不具备长记忆性。对于具有杠杆效应的波动率序列,FIEGARCH模型拟合效果要比FIGARCH模型更好。     

中国股市风格溢价双长记忆性研究

利用中国股市风格资产在日、周、月和季频率上的数据（2000-2013）,本文引入偏t分布作为新息分布来描述中国股市规模溢价和价值溢价分布存在的“尖峰厚尾”特征,根据最小化信息准则构建ARFIMA-YHGARCH-skt模型,以刻画中国股市风格溢价序列收益过程和波动过程的双长记忆性。研究表明中国股市并不存在显著的规模溢价,只存在显著的价值溢价：在收益过程方面,规模溢价具有收益长记忆性,但并不显著;而价值溢价在日、月和季度频率上的序列具有显著的收益长记忆性;在波动过程方面,规模溢价和价值溢价均在日、周频率上的序列具有显著的波动长记忆性。     

有效汇率序列的长期记忆性实证分析

本文利用传统的重标极差(R/S)法和修正的重标极差(MRS)法对美元、欧元及日元有效汇率指数的收益率及其波动序列进行长期记忆实证分析.研究结果发现:收益率序列基本不存在长期记忆性,而收益率的波动序列表现出明显的长期记忆性.     

我国股票市场价格波动长期记忆性分析

本文以我国沪深两市的数据为样本,运用R/S分析法及分整自回归条件异方差模型FIGARCH,研究了中国股票市场的长期记忆性问题,实证结果表明中国股市波动过程存在着长期记忆性特征。     

中美玉米期货的长记忆性检验及其影响分析

本文主要采用修正的R/S分析法对中美两国玉米期货的收益率及收益波动率进行长记忆性检验,结果表明,CBOT玉米的收益率不具有长记忆性,ECD玉米连一收益率具有长记忆性;二者的收益波动率均具有长记忆性的结论。并结合中美市场的差异对我国玉米期货市场的发展提出建议。     

基于R/S分析的股市风格分形特征研究

运用多重分形R/S分析法研究我国股票市场的风格分形结构特征,通过计算中信标普公司推出的6种纯风格资产指数在不同时间标度下的收益率序列Hurst指数与平均循环周期,发现我国股票市场风格存在统计自相似性、标度不变性、长记忆性,不同风格资产指数收益序列具有不同的平均循环周期等分形特征,这为基金公司、基金经理及时地把握股市风格的轮换规律,构建适度风格漂移策略以获取短期超额收益提供了决策参考与理论支持。     

上海股票市场的周期性和长记忆性的实证研究

本文采用经典的R/S分析法对我国股票市场的长记忆性进行探讨,考察上海股票市场的多重非规则性周期.研究发现上证综指日收益序列,在3≤n<188时,结论支持上证综指日收益序列遵循随机游走;而在1 87≤n1 551时,Hurst指数显著小于随机游走情形下的期望Hurst指数E(H),收益率序列表现出较强的逆状态持续性.     

基于波动阶段划分的我国期铜市场长期记忆性实证研究

金融市场通常由于波动结构性突变的存在而出现伪长记忆性现象。运用ICSS算法寻找方差突变点进行阶段划分，运用V／S分析法对我国期铜市场波动阶段前后的长期记忆性进行检测和比较，并利用FIGARCH模型对波动序列的长期记忆性进行建模估计。研究结果表明，我国期铜市场存在全程长期记忆性；阶段划分后序列的长期记忆性显著降低；期铜波动的FIGARCH模型具有更优的拟舍效果和预测能力。     

Volatility spillover and hedging effectiveness among China and emerging Asian Islamic equity indexes

We study the volatility spillover between China and Asian Islamic stock markets. We use a sample of six Islamic MSCI indices from the Asian region, namely China, India, Malaysia, Indonesia, Korea and Thailand obtained from MSCI (Morgan Stanley Capital International). In this paper we analyze the importance of considering spillover effects between emerging Asian Islamic indexes based on the Bivariate VARMA-BEKK-AGARCH model of McAleer et al. (2009), which includes spillover and asymmetric effects. We compute after the effectiveness of portfolio diversification based on the conditional volatility of returns series. Results show a significant positive and negative return spillover from China to selected Asian Islamic stock market and bidirectional volatility spillovers between China, Korea and Thailand Islamic market showing evidence of short-term predictability on Islamic Chinese stock market movements. However there is no short term volatility persistence in India, Indonesia and Malaysia. GARCH results show no persistence in volatility spillover effect in long term from Chinese to Indian, Indonesian and Korean Islamic stock market. Our findings are beneficial for international portfolio diversification for policy makers and investors since the results of portfolio management and hedging effectiveness ratio are different to previous studies.     

Half-day trading and spillovers

This paper investigates the linkage of returns and volatilities between the United States and Chinese stock markets from January 2010 to March 2020. We use the dynamic conditional correlation (DCC) and asymmetric Baba–Engle–Kraft–Kroner (BEKK) GARCH models to calculate the time-varying correlations of these two markets and examine the return and volatility spillover effects between these two markets. The empirical results show that there are only unidirectional return spillovers from the U.S. stock market to the Chinese stock market. The U.S. stock market has a consistently positive spillover to China’s next day’s morning trading, but its impact on China’s next day’s afternoon trading appears to be insignificant. This finding implies that information in the U.S. stock market impacts the performance of the Chinese stock market differently in distinct semi-day trading. Moreover, with respect to the volatility, there are significant bidirectional spillover effects between these two markets.     

Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets

This paper investigates the presence of long memory in the eight Central and Eastern European (CEE) countries' stock market, using the ARFIMA, GPH, FIGARCH and HYGARCH models. The data set consists of daily returns, and long memory tests are carried out both for the returns and volatilities of these series. The results of the ARFIMA and GPH models indicate the existence of long memory in five of eight return series. The results also suggest that long memory dynamics in the returns and volatility might be modeled by using the ARFIMA–FIGARCH and ARFIMA–HYGARCH models. The results of these models indicate strong evidence of long memory both in conditional mean and conditional variance. Moreover, the ARFIMA–FIGARCH model provides the better out-of-sample forecast for the sampled stock markets.     

基于非平稳的长记忆性检验理论及实证分析

文章通过严格的理论证明发现,传统的长记忆检验理论在非平稳框架下失效了。Andrew.Lo虽然将长记忆检验原假设拓展到混合性,但并未放弃平稳性假设;虽然考虑到了序列相依性对传统检验统计量的影响,却并未发现非平稳性的影响。文章给出更一般意义的零假设,不同于其他研究之处,拓展后的零假设更符合实际;并在Andrew.Lo的基础上提出一种非平稳稳健且更具一般意义的检验方法。最后运用该方法讨论了中国股票市场中的长记忆性,从而解释了长记忆实证检验结果令人疑惑的地方,该结论对金融领域基础研究具有重要价值。     

Flight-to-liquidity: Evidence from China's stock market

In an order-driven and strictly regulated stock market, illiquidity risks' effects on asset pricing should be highlighted, particularly in such extreme market conditions as those in China. This paper utilizes panel data from China's stock market in an attempt to answer whether the illiquidity risk in various dimensions—including price impacts, the transaction speed, trading volume, transaction costs, and asymmetric information—can explain stock returns. We find that almost all dimensions of stock illiquidity are positively associated with excess stock returns. More importantly, smaller, less-liquid stocks suffer more liquidity costs, providing a strong evidence for “flight-to-liquidity.” Additionally, the transaction costs and asymmetric information, denoted by bid-ask spreads, robustly account for these illiquidity effects on stock pricing and differ from the findings in the U.S. market. We also find that the “flight-to-liquidity” can partially explain the idiosyncratic volatility puzzle, investors' gambling, and herding psychologies. This study provides substantial policy implications in regulation and portfolio management for emerging markets.     

What Drives European Football Clubs’ Stock Returns and Volatility?

The article studies the main determinants of European football clubs’ stock returns and volatility. A panel-data analysis of a sample of 24 European football clubs was conducted to test the influence of several variables, based on a matrix of internal/external and real/financial dimensions, on both stock returns and their volatility. The results show that clubs’ stock returns are influenced by the real and financial context and by a set of internal variables such as profit considered as a reflection of accounting discipline, capitalization as an indicator of size and stadium attendance as a proxy indicator of reputation. The volatility of stock returns seems particularly vulnerable to the overall instability on stock markets and dependent on clubs’ profit and net players’ transfers and, to a lesser extent, on sporting outcomes.     

Liquidity and stock returns in emerging equity markets

Using data for 27 emerging equity markets for the period January 1992 through December 1999, we document the behavior of liquidity in emerging markets. We find that stock returns in emerging countries are positively correlated with aggregate market liquidity as measured by turnover ratio, trading value and the turnover–volatility multiple. The results hold in both cross-sectional and time-series analyses, and are quite robust even after we control for world market beta, market capitalization and price-to-book ratio. The positive correlation between stock returns and market liquidity in a time-series analysis is consistent with the findings in developed markets. However, the positive correlation in a cross-sectional analysis appears to be at odds with market microstructure theory that has been empirically supported by studies on developed markets. Our findings regarding the cross-sectional relation between stock returns and liquidity is consistent with the view that emerging equity markets have a lower degree of integration with the global economy.