Quantile information share

This paper presents a new method to estimate Hasbrouck-type market information share in price discovery. The prevailing market information share is calculated on the basis of conditional mean. We propose a conditional quantile regression approach to obtain a new market information share measure, quantile information share, which varies across the combinations of different price quantiles. The method is illustrated with two data sets, one on the spot and futures markets in pricing S&P 500 equity index, and the other on price discovery for a cross-listed stock.     

The impact of the US stock market opening on price discovery of government bond futures

We examine price discovery in sequential markets for the 10-year US Treasury note, German bund, and UK gilt futures over the period 2010–2017. We find that price discovery increases after the opening of the US stock market. Order flows in the bond futures markets are more informative for permanent price changes in the 30-min period after the US stock market opens. A placebo test using US statutory holidays confirms our findings. A cross-market analysis suggests that the increased price discovery in the bond futures is related to returns and net order flows of the US stock market.     

Settlement procedures and stock market efficiency

This study examines why most derivatives markets that settle on the day following expiration choose the opening rather than the closing price as the final settlement price (FSP), whereas most markets that settle on the expiration day select an average rather than a single price as the FSP. Four exogenous changes in the Taiwan Futures Exchange settlement procedures provide an experimental basis for studying the settlement procedures’ impact on underlying assets. Greatest market efficiency is observed when the FSP is determined by a single rather than an average price and hypothesize that manipulation is prevented at the expense of market quality.     

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.     

Pairs‐trading and spread persistence in the European stock market

In this paper, we adapt the demand and supply framework introduced by Figuerola‐Ferretti and Gonzalo (Journal of Econometrics, 2010) to illustrate the dynamics of Pairs‐trading. We underline the process by which a finite elasticity of demand for spread trading determines the speed of mean reversion and pairs‐trading profitability. A persistence‐dependent trading trigger is introduced accordingly. Applied to STOXX Europe 600–traded equities, our strategy exploits price leadership for portfolio replication purposes and delivers Sharpe ratios that outperform the benchmark rules used in the literature. Portfolio performance and mean reversion are enhanced after firm fundamental factor restrictions are imposed.     

Market openness and market quality in gold markets

This paper studies the impact of market openness on market quality in gold markets, by investigating the openness event that occurred when the Shanghai Gold Exchange (SGE) launched an international board (SGEI) for foreign investors in China. Investors prefer to trade on the SGE than the SGEI, probably due to the SGE’s higher liquidity. In addition, using the New York Mercantile Exchange (COMEX) gold futures as the benchmark, we show the SGE experiences a significant increase in liquidity without a concomitant increase in volatility. Moreover, the SGE’s contribution to international gold price discovery increases after the openness event.     

The evolution of price discovery in us equity and derivatives markets

This study considers the evolution of price discovery in the S&P 500 E-mini futures and the corresponding exchange traded fund (SPY ETF) over the period January 2002 through December 2013. The study reports evidence that the E-mini futures dominate price discovery at the beginning of the sample period. However, from 2007 onward both the SPY ETF and E-mini futures contribute similar portions to the price discovery process. The level of price discovery is significantly influenced by volume measures and relative levels of transaction costs for both securities.     

调控上网电价对稳定市场价格的政策效果实证研究

基于VAR模型和中介效应模型等定量分析手段,研究了我国上网电价波动对市场价格波动的影响效应,探索调控上网电价对稳定市场价格是否具有积极的政策效果。结果表明,上网电价的调整在滞后一期会对CPI和PPI产生负向冲击,从而抑制市场价格上涨,而随着滞后期不断增加,影响作用趋于减弱;同时,在上网电价波动影响市场价格波动的过程中,存在CPI和PPI之间相互中介效应,即存在上网电价→PPI→CPI、上网电价→CPI→PPI的影响途径。总体来看,我国调控上网电价,在一定程度上起到了稳定国内市场价格的积极作用。     

Abnormal trading volume and autoregressive behavior in weekly stock returns in the Saudi stock market

This paper examines the relationship between the abnormal change in trading volume of both individual stocks and portfolios and short-term price autoregressive behavior in the Saudi stock market (SSM). Our objective is to investigate the informational role that trading volume plays in predicting the direction of short-term returns. We evaluate whether the abnormal change in lagged, contemporaneous, and lead turnovers affects serial correlation in returns. Specifically, we examine if and when the change in volume produces momentum (positive correlation) or reversal (negative autocorrelation) in consecutive weekly stock returns.We find a reversal in weekly stock returns when conditioned on the change in lagged volume in the SSM. Our results are consistent for the whole sample, the two sub-sample periods, and the large- and small-firm portfolios. The results are consistent with Campbell, Grossman, and Wang [Campbell, J. Y., S. J. Grossman, and J. Wang, 1993, Trading volume and serial correlation in stock returns, Quarterly Journal of Economics, 108, 905–939], who present a model in which risk-averse market makers accommodate the selling pressure of liquidity or non-informational traders. We also find that reversal is more pronounced with the loser portfolio as specified by filter-based methodology. The overall result of this paper is also consistent with the empirical findings of Conrad, Hameed, and Niden [Conrad, J., A. Hameed, and C. Niden, 1994, Volume and autocovariances in short-horizon individual security returns, Journal of Finance 49, 1305–1329.] and Gebka [Gebka, B., 2005, Dynamic volume-return relationship: evidence from an emerging market, Applied Financial Economics, 15, 1019–1029] in which they report price reversal for stock with high trading volume.     

Islamic legal methodologies and Shariah screening standards: Application in the Indonesian stock market

This article provides a framework for applying the principles of Islamic legal methodology to determine the optimal Shariah screening standards for Islamic equity markets. It is argued that using maslahah mursalah (unrestricted benefit) is an appropriate method for identifying appropriate financial standards and its principles stipulate that the benchmark that yields the best economic returns to investors should be chosen. The methodological framework is applied to the Indonesia equity market where the economic implications of the Islamic stock screening standards of the Indonesian Islamic Shariah Stock Index and four global indices are assessed. Portfolios are constructed by applying Islamic stock screening standards for each of the indices by using data on 377 stocks listed in the Indonesian stock market for 5 years. The performances measured by the Sharpe ratio, Treynor index, and Jensen alpha reveal that the Dow Jones Islamic Index screening criteria performs the best. Based on the method of maslahah mursalah, the article recommends using the screening standard of this index in the Indonesian stock market to maximize benefits to investors. While the approach used in this article is applied to Islamic equity markets, the methodological framework can also be used for other similar cases in Islamic finance.     

股票市场发展与国家资源配置效率:基于股市信息效率视角的研究

中国股票市场发展已经经历20年的历程,很多方面都取得了巨大的发展成就,然而对于股票市场发展对中国经济增长是否产生了显著的正向促进作用,现有研究文献并没有达到一致结论.文章基于股价波动非同步性测度方法,从股票市场信息效率这一新的视角入手,实证检验股票市场发展与国家资源配置效率的因果影响关系,为这一领域研究提供了新的实证证据.实证结果表明:中国股票市场信息效率与国家资源配置效率显著正相关,且这种正相关关系在效益上升行业与下降行业没有显著差别,即高信息效率股票市场能引导社会在高资本回报率的行业内继续追加投资,在低资本回报率的行业内及时削减资本投入,从而提高资源配置效率.因此中国股票市场发展具有较好的经济效应,它对经济增长产生了显著正向促进作用.     

近年煤焦油市场回顾与后市展望

本文通过对近年煤焦油行业现状及近年价格波动情况进行了深层次分析,指出影响煤焦油价格涨跌的几大重要因素,并提出了一些有利于煤焦油产业有序健康发展的可行性建议.     

我国股票市场信息不对称现象成因与风险控制对策分析

由于信息在上市公司和投资者之间存在传递障碍,世界各国的股票市场普遍存在信息不对称现象。我国股票市场正处于经济转轨的特殊时期,信息披露制度的缺陷,信息不对称现象尤其严重,集中体现在发行者与投资者、机构投资者与个人投资者之间,致使投资者的利益蒙受损失。分析信息不对称现象在我国股票市场存在的原因,以及风险控制的对策,以确保股票市场健康有序的发展。     

Enhancing the role of flow experience in social media usage and its impact on shopping

Online retailers are eager to find the answers to the following questions: How relevant is SNS usage to consumer shopping decisions? Is the information shared on SNS likely to influence users’ shopping decisions? This study is designed to answer these questions via essential factors based on flow theory and TAM. The moderating effects of some social factors were also explored. The data was collected from U.S SNS users, and SEM was performed and a research model estimated. The findings reveal that flow experience of SNS usage for shopping, perceived ease of use of SNS, and perceived usefulness of information shared on SNS exert positive and significant effects on consumer intention to shop on SNS. Particularly, flow experience directly and positively determines shopping intention and shares positive and significant impacts with TAM. Furthermore, the perceived usefulness is highly important relative to the perceived ease of use. Social identity, group norm, and social influence also positively moderate the links between flow experience, TAM, and SNS usage intention for shopping. Very few theoretical studies have discussed SNS usage behavior for shopping based on flow theory or validated its relationship with TAM in the SNS shopping context. A validated model of consumers’ actual usage of SNS for shopping proves that experience drives the success of social commerce. The findings provide current information and important aspects to firms that operate SNS commerce, allowing them to adjust their marketing strategies to serve consumers better.