Stock Price and Volume Effects Associated with Compositional Changes in European Stock Indices

This paper provides further evidence of price and volume effects associated with index compositional changes by analysing the inclusions (exclusions) from the French CAC40 and SBF120 indices, as well as the FTSE100. I find evidence supporting the price pressure hypothesis associated with index fund rebalancing, but weak or no evidence for the imperfect substitution, liquidity and information hypotheses. The results improve on recent evidence from the S&P500 index. The evidence for the FTSE100 additions shows, in particular, that markets learn about an imminent inclusion and incorporate this information into prices, even before the announcement date.     

Capital market trading volume: an overview and some preliminary conclusions

This paper suggests an explanation for the heavy trading volumeobserved on the US capital markets, the world's largest. Heterodoxeconomic theory puts much of this volume down to speculation.Mainstream theory tends to support this thesis, either directlyor indirectly, by giving space to the idea that trading activityis for the most part exogenous to the functioning of the capitalmarkets. The central hypothesis of this paper is that the tradingvolumes observed are an endogenous feature of the capital markets,because they are to a great extent determined by the needs ofthe institutional investors who predominate on these markets.This endogeneity of trading is posited in connection with theemergence of a new ‘core–satellite’ paradigmin institutional investment, a development that essentiallymanifests the asset-management industry's transformation froma small industry serving a few wealthy clients to a mass industryserving large sections of the population.     

Abnormal trading volume,news and market efficiency: Evidence from the Jamaica Stock Exchange

This paper investigates market efficiency of the Jamaica Stock Exchange (JSE). Together, weak and semi-strong form efficiency claim that historical and newly released public information do not predict future stock price movement. We test both forms of market efficiency by analyzing stock price behavior during times of abnormal trading volume and around the release dates of earnings information. Abnormal trading volume may be driven by liquidity demand or reflect new or private information flow to the market. Using JSE data over the period 2000 to 2021, we find price dynamics consistent with price pressure as firms experience negative abnormal returns on the day of abnormal trading activity but offsetting positive abnormal stock returns on the following day. Further findings show post earnings announcement drift on the JSE. Taken as a whole, the evidence suggests violations of market efficiency and has implications for capital allocation in this emerging market.     

历史成本法下存货计价的比较研究

存货在大多数企业的流动资产中乃至总资产中所占的比重很大 ,因此存货价值的确定直接影响到企业经营成果的确定。不同的计价方法对企业财务状况、盈亏情况都会产生不同的影响。本文通过实例来研究在通货膨胀期间 ,采用历史成本法对存货进行核算 ,无论在永续盘存制下 ,还是在定期盘存制下都会得出 ,先进先出法算出的期末存货额最高 ,销货成本额最低 ,毛利和税后净利最高。后进先出法算出的期末存货额最低 ,销货成本额最高 ,毛利和税后净利最低。加权平均法和移动平均法介于两者之间。     

探究“新零销售”模式下影响销售量的相关因素

在新零销售模式的推动下,客户越来越倾向于消费个性化的商品。为了精准预测客户的消费需求,论文以单款单色产品为研究对象,通过建立多元回归分析的数学模型,来探究影响商品销售量的相关因素。经过分析发现,除了一些定性因素外,定量因素对销售量也产生了一定的影响,其中实际花费总金额、实际销售单价、库存数等定量因素对销售量的影响较大,且各个变量之间具有相关性,所以电商平台应特别关注这三个变量的影响。     

经济周期性波动与适度调节

改革以来,经济周期性波动的变化特征说明了我国经济的稳定性与抗风险能力增强;经济波动的根源是生产与消费的矛盾,矛盾激化到一定程度,经济运行就表现较大幅度的波动;市场条件与生产条件相背离是生产与消费矛盾激化的市场表现;生产条件短期是难以改变的,而市场条件的改变又是相对迅速的,宏观调控的重要作用就是要适时地调整并改变市场条件,使之与生产条件相适应;需要注意的是,这种调整应该适时适度,否则,反而会进一步加剧经济的较大幅度波动。     

“一带一路”倡议下中国口岸出入境货运量的时空格局演变探究

口岸作为国家指定的对外开放门户,承担着国与国之间货物运输和人员往来的重要功能。"一带一路"倡议的实施促进了我国口岸的发展,带动了口岸经济与区域经济的发展,反过来进一步加强了与"一带一路"沿线国家的合作。本文利用口岸运行指标中的出入境货运量数据,借助探索性空间数据分析方法,对我国2011—2017年31个省(区、市)的口岸出入境货运量的时空格局进行分析。结果表明:"一带一路"倡议提出后,尤其是2015年后,我国口岸出入境货运总量呈现快速增长态势且存在显著的空间正相关性;三类口岸(水运、陆运和空运口岸)中,水运口岸存在更显著的、更强的空间相关性;各类口岸出入境货运量中,东部沿海地区水运呈现正向空间集聚现象,西部沿边地区陆运呈现极化现象。此外,本文对全国31个省(区、市)的地区货运总量也进行了空间动态分析,发现也存在空间相关性,且集聚效应在"一带一路"倡议提出后不断增强。在此基础上,为了更好地服务于"一带一路"建设,本文提出了提升各类口岸运输能力的相关对策建议。     

Measuring abnormal daily trading volume for samples of NYSE/ASE and NASDAQ securities using parametric and nonparametric test statistics

We extend prior research on the empirical properties of daily trading volume and methods to detect abnormal trading volume in two ways. We compare the performance of a nonparametric test statistic with the parametric test statistic used in prior research and we study samples of NASDAQ securities as well as samples of NYSE/ASE securities. Prior research has focused exclusively on NYSE securities. We find the nonparametric test statistic is more powerful in detecting abnormal trading volume than the parametric test statistic in both samples of NYSE/ASE and NASDAQ securities. We also document that abnormal trading volume will be detected more often in samples of NYSE/ASE securities compared to NASDAQ securities.     

基于百度指数的碳交易市场波动率的实证研究

碳交易市场波动率研究主要基于成交量数据对收益率GARCH效应的解释作用。在互联网时代可以有更新更为有效的方法来衡量碳交易市场的波动性。基于“碳交易”词条的百度指数,以湖北碳交易市场中的收益率为样本,本文通过对比使用引入成交量和搜索量的IGARCH（1,1）模型,实证研究发现传统的量价方程的确没有解释力,而百度指数可以对收益率的GARCH效应做出部分合理的解释,这可以在某种程度上反映湖北碳交易市场的交易信息流。     

Speculative dynamics and price behavior in the Shanghai Stock Exchange

This article examines the extent to which the trading behavior of heterogeneous investors manifests in stock price changes of asset portfolios which constitute the Shanghai Stock Exchange. There are three major findings that materialize. Firstly, reliable statistical evidence of a negative relation between the conditional first and second moments of the return distributions of stock prices lends support to the volatility feedback effect. Secondly, ‘feedback’, or momentum-type investors, are not present in this market as is often detected from the daily price changes of other industrialized markets. Finally, trade volume as a proxy for ‘information-driven’ trading suggests that such investors play a statistically significant role in stock price movements. Parameter estimates from this latter group of investors imply that a rise in stock prices from a high volume trading day is more likely than a rise resulting from a low volume trading day.