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国内外学术界在证券分析师研究领域已经做出了大量贡献,学者们利用证券分析师的预测以及股票评级的数据,对证券分析师的盈利预测与股票推荐、市场反应、分析师的经济动机等多个问题进行实证分析。但是,对于证券分析师的预测是否可靠以及投资者是否通过分析师研究报告获利,一直都是争议的热点。该文将从证券分析师可信度与胜任能力两个新视角,对国内外相关文献进行系统梳理,并进一步展望未来的研究方向。 相似文献
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证券分析师在中国资本市场上的信息中介作用正日益凸显。本文研究了公司规模、业务复杂度、投资风险、股权结构和投资者关系管理水平等因素对分析师跟进决策的影响。在此基础上,进一步运用计数(Count data)计量方法和结构化方程(SEM)对实证结果进行了稳健性检验。研究发现,分析师倾向于跟进那些规模较大、机构持股比例较高且投资者关系管理水平较好的公司,而规避那些投资风险和业务复杂程度较高且内部人持股比例较大的公司。实证结果支持了分析师在中国市场上主要搬演了信息中介的角色,而不是作为信息提供者与企业的直接披露进行竞争。 相似文献
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股市反弹,被唤起希望的不仅是很多被深套的股民,沉寂了一段时间的证券分析师们也出来说话了,开始预测牛年的股市走势。其实,境内股市经过十几年的发展,投资者已经开始成熟,也不像以前那样相信证券分析师了。毕竟,分析师们是拿着机构的高薪,并不一定能给普通投资者带来实质上的收获。 相似文献
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上市公司年报是资本市场投资者的重要公开信息来源。证券分析师通过分析公共信息及私有信息,向市场提供价值。而过去的文献没有涉及证券分析师的盈余预测行为与年报审计质量的关系。本文采用2002年至2008年A股上市公司作为研究样本,研究了年报审计质量对证券分析师盈余预测行为的影响,研究结果表明,审计质量的高低对证券分析师盈余预测行为有显著的影响,具体表现在高的审计质量增加了分析师的预测跟进人数,提高了分析师预测准确度,降低了分析师预测分歧度。 相似文献
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以国内证券分析师的盈利预测报告为对象,以2007年—2009年间上市公司数据为基础,采用回归等方法对分析师预测市场的有效性进行研究。结果表明:国内分析师队伍整体实力仍然欠缺,而且良莠不齐;分析师的短期预测行为较为有效,而且预测值和实际值之间的相关性较强,但长期预测的准确度则有待考虑;分析师对于预测行为已经进行了大幅度调整,但效果不明显,主要是针对前两次的盈利调整对于提高预测准确度没有很大帮助,预测准确性最高的普遍集中在年内最后一季度对该年度的评价分析。实证结果为我国投资者正确使用分析师预测报告提供了一定的参考依据。 相似文献
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本文选用我国上证A股的证券分析师投资评级和股票收益率相关数据(2010.04.30-2011.04.30),对我国证券分析师利益冲突行为的影响因素以及证券分析师投资评级的绩效进行实证研究。结果表明:承销商分析师相对于非承销商分析师的投资建议更为乐观,且券商的承销和经纪业务对证券分析师利益冲突行为有显著性影响;券商声誉和分析师上年声誉对证券分析师的股票投资评级存在明显的抑制效应;积极性的投资评级和分析师本年的声誉与分析师所荐股票的短期超额收益率呈正相关关系。 相似文献
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本文选用我国上证A股的证券分析师投资评级和股票收益率相关数据(2010.04.30-2011.04.30),对我国证券分析师利益冲突行为的影响因素以及证券分析师投资评级的绩效进行实证研究。结果表明:承销商分析师相对于非承销商分析师的投资建议更为乐观,且券商的承销和经纪业务对证券分析师利益冲突行为有显著性影响;券商声誉和分析师上年声誉对证券分析师的股票投资评级存在明显的抑制效应;积极性的投资评级和分析师本年的声誉与分析师所荐股票的短期超额收益率呈正相关关系。 相似文献
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分析师实地调研对其盈余预测会产生很大影响,那么,在调研中,分析师接触到更高管理层,对其盈余预测的影响是正向还是负向呢?我们以2015-2018年深交所被分析师调研的上市公司为例,研究发现,分析师实地调研受到管理层重视的程度越高,分析师盈余预测准确度越低,同时预测乐观度越高。进一步的研究表明,公司的盈余波动程度以及调研获取的私有信息的时效性也会影响管理层重视对分析师预测的作用效果。研究结果说明对于分析师实地调研来说,“近水楼台”反而影响了其“先得月”。文章的研究深化了分析师行为的相关文献,给资本市场的监管制度提供了一些政策建议。 相似文献
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Prior studies use fundamental earnings forecasts to proxy for the market's expectations of earnings because analyst forecasts are biased and are available for only a subset of firms. We find that as a proxy for market expectations, fundamental forecasts contain systematic measurement errors analogous to those in analysts' biased forecasts. Therefore, these forecasts are not representative of investors' beliefs. The systematic measurement errors from using fundamental forecasts to proxy for market expectations occur because investors misweight the information in many firm-level variables when estimating future earnings, but fundamental forecasts are formed using the historically efficient weights on firm-level variables. Thus, we develop an alternative ex ante proxy for the market's expectations of future earnings (“the implied market forecast”) using the historical (and inefficient) weights, as reflected in stock returns, that the market places on firm-level variables. A trading strategy based on the implied market forecast error, which is measured as the difference between the implied market forecast and the fundamental forecast, generates excess returns of approximately 9 percent per year. These returns cannot be explained by investors' reliance on analysts' biased forecasts. Overall, our results reveal that market expectations differ from both fundamental forecasts and analysts' forecasts. 相似文献
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移动互联网的高速发展使得越来越多的投资者通过移动互联网获取信息并做出投资决策。文章利用网络爬虫技术收集来自移动互联网的用户讨论信息,研究来自移动互联网的用户情绪对股票收益的影响,实证结果显示:移动互联网用户情绪存在显著不对称特征,其更倾向于表现积极乐观的情绪,且其正负面情绪差异大于PCs端;同时,移动互联网用户情绪越乐观,下一期股票收益越高。进一步实证结果表明,处于较差信息环境(如散户持股较高,分析师跟踪人数较少)的公司,移动互联网用户情绪对其股票收益的影响更加显著;此外,对于流动性越差的公司,移动互联网用户情绪对其股票收益的影响也越显著。文章研究结论为移动互联网时代的投资者优化投资决策提供了新的视角,也是对行为金融学中传统媒体定价领域的重要补充。 相似文献
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Jae B. Kim Alexander Nekrasov Pervin K. Shroff Andreas Simon 《Contemporary Accounting Research》2019,36(3):1669-1698
We examine whether financial analysts understand the valuation implications of unconditional accounting conservatism when forecasting target prices. While accounting conservatism affects reported earnings, conservatism per se does not have an effect on the present value of future cash flows. We examine whether analysts adjust for the effect of conservatism included in their earnings forecasts when using these forecasts to estimate target prices. We find that signed target price errors (actual minus forecast) have a significant positive association with the degree of conservatism in forward earnings, suggesting that target prices are biased due to accounting conservatism. Cross‐sectional analysis suggests that more sophisticated analysts and superior long‐term forecasters adjust for conservatism to a greater extent than other analysts. In additional analyses, we explore the mechanism through which conservatism leads to bias in target prices. We first show that analysts' earnings forecasts are negatively associated with the degree of conservatism; that is, analysts include the effect of unconditional conservatism in their earnings forecasts. Based on alternative earnings‐based valuation models that analysts may use, our evidence suggests that analysts fail to appropriately adjust their valuation multiple for the effect of conservatism included in their earnings forecasts when using these forecasts to derive target prices. As a consequence, we find that, for extreme changes in conservatism, the bias in analysts' target prices due to conservatism leads to a distortion of market prices. The evidence highlights the concern that analysts may not appreciate the valuation implications of conservative accounting which could inhibit price discovery. 相似文献
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This paper provides empirical evidence that underreaction in financial analysts' earnings forecasts increases with the forecast horizon, and offers a rational economic explanation for this result. The empirical portion of the paper evaluates analysts' responses to earnings‐surprise and other earnings‐related information. Our empirical evidence suggests that analysts' earnings forecasts underreact to both types of information, and the underreaction increases with the forecast horizon. The paper also develops a theoretical model that explains this horizon‐dependent analyst underreaction as a rational response to an asymmetric loss function. The model assumes that, for a given level of inaccuracy, analysts' reputations suffer more (less) when subsequent information causes a revision in investor expectations in the opposite (same) direction as the analyst's prior earnings‐forecast revision. Given this asymmetric loss function, underreaction increases with the risk of subsequent disconfirming information and with the disproportionate cost associated with revision reversal. Assuming that market frictions prevent prices from immediately unraveling these analyst underreac‐tion tactics, investors buying (selling) stock on the basis of analysts' positive (negative) earnings‐forecast revisions also benefit from analyst underreaction. Therefore, the asymmetric cost of forecast inaccuracy could arise from rational investor incentives consistent with a preference for analyst underreaction. Our incentives‐based explanation for underreaction provides an alternative to psychology‐based explanations and suggests avenues for further research. 相似文献
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Many recent empirical studies have concluded that analysts' earnings forecasts are optimistic on average. In this paper, we attempt to undo the effect of one potential source of optimistic bias in analysts' earnings forecasts. Assuming forecasts come from a truncated normal distribution, we estimate the “true” population mean using maximum likelihood. We find that our estimates of earnings are more accurate and less biased than standard measures of sample mean and median. However, we do not find a closer relationship between excess market returns and forecast errors from our maximum likelihood estimate than from the sample mean. This may suggest that the market does not fully incorporate analysts' incentives in generating expectations about future earnings. 相似文献
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Abstract. This first study of Canadian securities' earnings forecasts published by Institutional Brokers Estimate System (IBES) focuses on changes in the mean earnings per share forecasts of 159 to 188 companies from 1985 to 1987. Cumulative average residuals are used to detect the announcement effects of large earnings forecast revisions. The main results of this study are the following. First, an investor with access to changes of earnings per share forecasts at the beginning of the month of publication could realize abnormal excess returns. Second, trading strategies based on earnings forecasts revisions can also yield abnormal returns, but the magnitude of the revision, the sector of the company, and the month in which the revision is realized must be considered. Third, when financial analysts' forecasts are published, the informational content of large revisions in forecasts has already been discounted by the market. This result is similar to findings of U.S.– and U.K.–based studies. Finally, large forecasts revisions coincide with a period of abnormal returns. However, the information content of the announcement of forecasts changes cannot be established. The gains are larger if the trade is undertaken before the diffusion of the forecast revision to the IBES subscribers. These results do not vary with the model chosen to predict company returns. This does not necessarily indicate the existence of a market inefficiency because information acquisition and analysis costs, as well as transaction costs, may diminish considerably these abnormal trading gains. 相似文献
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投资者情绪、会计应计与超额回报——基于中国上市公司的实证分析 总被引:2,自引:0,他引:2
以我国上市公司1999至2007年的数据为样本,从行为金融学中投资者情绪的角度,深刻剖析投资者情绪对基于会计应计投资策略获得超额回报的影响。研究发现:1、持有会计应计比例低公司的股票,在投资者情绪低迷时期获得的超额回报会大于投资者情绪高昂时期;同样的,持有会计应计比例高公司的股票,在投资者情绪高昂时期产生的投资亏损要大于投资者情绪低迷时期;2、机构投资者持股比例小的公司的股价,更容易受投资者情绪的影响,因而,基于会计应计策略的超额回报在不同情绪下的差异要大于机构持股比例大的公司。本文试图从投资者情绪的角度,分析其对"应计异象"的影响,并且进一步证明,机构持股大小会干扰其影响的程度。 相似文献
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This study investigates the mispricing of market‐wide investor sentiment by exploring the relation between sentiment and investor expectations of future earnings. Prior research argues that sentiment‐driven mispricing should be most pronounced for hard‐to‐value firms, such as those reporting losses (Baker and Wurgler 2006). Using investor expectations of future earnings, we provide empirical results consistent with this behavioral finance theory. We predict and find that investors perceive losses to be more (less) persistent during periods of low (high) sentiment; that (in contrast) investors perceive profit persistence to be lower (higher) during periods of low (high) sentiment; and that the effects appear stronger for loss firms relative to profit firms. We also document predictable cross‐sectional variation within losses (with the mispricing mitigated for losses associated with activities expected to generate future benefits), R&D, growth, large negative special items, and severe financial distress. Overall, our results document a new and important channel—investor expectations of future earnings—to explain sentiment‐driven mispricing. 相似文献