股票收益率与成交量关系的实证研究

股票的成交量和收益率之间的关系式一直都是学术界和实务界关心的焦点问题，在股票交易中，预测市场未来的走势时，交易者普遍使用量价关系，并且研究价量关系有助于分析投资者的行为方式，也有利于投资者进行决策和监管者制定政策。本文中通过用股票收盘价计算得出的对数收益率，利用格兰杰因果检验的方法，研究和分析成交量和收益之间的关系，得出在上海证券市场中，价格和成交量之间存在双向的格兰杰因果关系，通过时因果关系进行分析，研究量价关系。     

基于数据挖掘方法的期货量价关系及波动性研究

本文以期货市场普遍认可的结论——量价之间存在正相关关系作为研究假设,以SPSS统计分析软件作为研究工具,通过对两个交易日的持仓量及成交量的绝对差值与价格的绝对差值的关系来加以验证。在研究过程中,选取了白糖和铜这两个期货品种,并对其2007—2012年五年的期货市场的价格、持仓量、成交量进行了分析。经研究验证,两个交易日的持仓量及成交量的绝对差值与价格的绝对差值存在显著相关性。利用SPSS软件的非线性拟合方法得出了未来期货商品收盘价与成交量的关系函数,但其拟合度较低。     

期货市场量价关系的分位数回归研究

文章采用分位数回归来分析上海与伦敦期货市场收益率和成交量之间的关系,在多个品种之间以及国内外市场之间进行了横向比较,并与十年前的市场进行了纵向比较。实证结果发现,上海铜、铝、螺纹钢期货品种均具有"量价齐扬""价跌量亦涨"的现象,即正的收益率和成交量正相关,负的收益率和成交量负相关。而伦敦期货市场的量价关系弱于上海市场。与十年前相比,上海期货市场的成交更加活跃,金融属性更强,呈现更为显著的"V"字形量价关系。在投资者结构发生变化后,"量价齐扬"以及"价跌量亦涨"的现象仍然存在。     

股市量价关系研究

量价关系研究一直是金融领域的热点及难点,采用上证综合指数和深证综合指数的成交量和收盘价数据来对两个市场的量价关系进行研究,采用了描述统计和实证分析相结合的方法,研究发现成交量和收益率间存在双向的Granger因果关系,同时通过方差分解发现成交量对收益率的贡献率仅为1%,而收益率序列对成交量的贡献率达到20%。     

量价理论在封闭式基金交易中的实证检验

一、引言成交量在技术分析中的作用历来为学者们重视。LawrenceBlume、David和MaureenO'Hara(1994)不仅详尽地揭示了成交量的信息价值,还考察了价格变化和成交量之间的关系,发现价格变化的绝对值与成交量正相关,并且这一关系不随信号质量和数量的改变而消失,只是相关性的强弱有     

牛市与熊市中股票价格和成交量互动关系对比分析——基于对上证综指的实证研究

本文采用2005年下丰年以来中国资本市场这段特殊时期的最新数据,对牛市和熊市中股票价格与成交量互动关系进行实证对比研究,发现"量价关系"已与以往研究结果有很大差异.表明,近几年中国资本市场已经发生了重大改变.同时,不同市场行情下,量价关系具有不对称性.具体为,牛市中,股票价格与成交量之间存在着很强的正相关关系,股票价格对股票成交量有着很强的单向拉动作用,而成交量却对股票价格没有解释力.熊市中,股票价格和成交量之间不存在明显相关性,也不具有因果关系.最后得出引申结论,传统的"量在价先"投资理念不适合近期的中国证券市场,目前的中国证券市场是部分有效的.     

量价理论在封闭式基金交易中的实证检验

一、引言 成交量在技术分析中的作用历来为学者们重视.Lawrence Blume、David Easley和Maureen O'Hara(1994)不仅详尽地揭示了成交量的信息价值,还考察了价格变化和成交量之间的关系,发现价格变化的绝对值与成交量正相关,并且这一关系不随信号质量和数量的改变而消失,只是相关性的强弱有所不同.     

量价理论在封闭式基金交易中的实证检验

一、引言 成交量在技术分析中的作用历来为学者们重视。Lawrence Blume、David Easley和Maureen O’Hara（1994）不仅详尽地揭示了成交量的信息价值．还考察了价格变化和成交量之间的关系，发现价格变化的绝对值与成交量正相关．并且这一关系不随信号质量和数量的改变而消失，只是相关性的强弱有所不同。     

中国股票市场交易数据相关关系实证分析

本文从成交量、成交额和沪深两市综合指数三个变量出发,对中国股票市场交易数据的相关关系进行了实证分析。分析发现,以成交额为控制变量,成交量和综合指数是负相关关系。这个结论说明传统的量价关系分析是片面的。     

证券分析师荐股的市场影响能力研究

本文利用上海证券报每周一"本周股评家最为看好的个股"这一栏目的长期荐股统计数据对A股市场中证券分析师荐股的市场影响能力进行了非正常收益率和成交量的实证研究。实证的结果发现证券分析师荐股受到整个市场行情发展状况的影响很大,而对市场量价的影响只存在短期效应,最终影响不大。     

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.     

Managed futures,positive feedback trading,and futures price volatility

A major issue in recent years is the role that large, managed futures funds and pools play in futures markets. Many market participants argue that managed futures trading increases price volatility due to the size of managed futures trading and reliance on positive feedback trading systems. The purpose of this study is to provide new evidence on the impact of managed futures trading on futures price volatility. A unique data set on managed futures trading is analyzed for the period 1 December 1988 through 31 March 1989. The data set includes the daily trading volume of large commodity pools for 36 different futures markets. Regression results are unequivocal with respect to the impact of commodity pool trading on futures price volatility. For the 72 estimated regressions (two for each market), the coefficient on commodity pool trading volume is significantly different from zero in only four cases. These results constitute strong evidence that, at least for this sample period, commodity pool trading is not associated with increases in futures price volatility. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 759–776, 1999     

Where are the fundamental traders? A model application based on the Shanghai Stock Exchange

This study develops a model to disaggregate traders into categories based on their strategic approach to (fundamental versus technical) and perception about future price trends. Testing the model with data from the Shanghai Stock Exchange (SSE), the study finds a minimal presence of fundamental traders. However, model estimation reveals that the SSE is weak-form efficient as technical traders do not earn abnormal profits.     

沪市股票量价关系研究——基于E-G两步法和脉冲响应函数

本文选取股权分置改革后的数据,通过协整、误差修正模型、Granger因果检验和脉冲响应函数对股价和交易量之间的关系进行了全面深入的研究,得出股价对交易量的影响大于交易量对股价的影响。     

A Dynamic Volume–Return Relation and Investors' Positive Feedback Trading

With individual stocks, a larger increase in trading volume indicates a stronger short‐term return persistence. A reason for this short‐horizon ‘volume–return relation’ is that it can signal the existence of fundamental news, which can be gradually incorporated into stock price. In this study, we present another plausible explanation by considering investors' short‐term positive feedback trading. First, through empirical analysis, we show that the volume–return relation remains strong among stocks for which there is little fundamental news. Through a model‐based analysis, we demonstrate that positive feedback trading can cause this relation even when there is no news. Our findings raise the possibility that the short‐horizon volume–return relation is also caused by short‐term positive feedback trading.     

The Relationship Between Stock Price Changes and Trading Volume:

This study tests Karpoff's (1987) cosUy short sales hypothesis that attempts to explain the asymmetric relationship be- tween stock price changes and trading volume. Since short sales are disallowed on the Stock Exchange of Singapore, the data set offers a polar case of costly short sales. We document an asymmetric price change-volume relationship that is consistent with previous empiri- cal evidence based on US. data sets. More importantly we find a polar case of the asymmetric price change-volume relationship that supports Karpoff's (1987) costly short sales hypothesis: a positive correlation between positive price change and volume, but no signif- icant relationship between negative price change and volume.     

Adverse selection costs: A study on the Chinese stock market

Employing a bid-ask spread model applicable for order-driven market, this paper decomposes the bid-ask spread of Shanghai Stock Exchange (SSE) into adverse selection and order processing cost components to investigate the relationship between the components of bid-ask spread and order size. It examines the impacts of firm size, price, trading activeness, and volatility on adverse selection cost, and explores the intraday pattern of adverse selection costs and informative trading. Results show that adverse selection costs increase with trade scale. However, order processing costs do not exhibit the economies of scale. Stocks of large firms, which are high-priced and actively traded, have relatively low adverse selection costs; stocks with large volatility have relatively high adverse selection costs. Moreover, this paper finds that the adverse selection component of bid-ask spread in the Chinese stock market exhibits an L-shaped intraday pattern, which implies that heavy trading around market opening is dominated by informative trading, while heavy trading near market closing is dominated by liquidity trading.     

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.     

基于碳价格与环境能源关联分析的中国碳交易市场研究

碳交易市场发展是当今各国高度关注的一个问题。节能减排技术落后、国际碳价格波动、话语权缺乏,导致我国碳交易市场发展受阻。运用灰色关联分析方法、供求关系理论,对价格与环境能源问题进行相关性分析;据分析结果阐析我国碳交易市场多种问题产生的深层次原因;研究中国碳交易市场的发展对策,以期为企业进行相关营销活动提供决策参考。     

Duration,trading volume and the price impact of trades in an emerging futures market

This paper examines the price impact of trading intensity on the MexDer TIIE28 interest rate futures contract, one of the world's most actively traded contracts. A novel volume-augmented duration model of price discovery decomposes trading intensity into liquidity and information components. Duration between transactions exerts a positive influence on price changes, while increases in order flow and trade volume exert positive and negative influences, respectively. The liquidity component dominates the information measure, suggesting that liquidity considerations dictate trade timing. These findings are rationalized with reference to MexDer's organizational structure, specifically the affirmative obligations placed upon marketmakers to trade a minimum volume.