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Do Investors Over-react to Patterns of Past Financial Performance Measures?

机译:投资者是否会对过去的财务绩效指标模式反应过度?

摘要

The objectives of this thesis are threefold. First, this dissertation examines whether patterns (growth and consistency in growth) of firmsu27 past financial performance influence investorsu27 perceptions about stock values and future performance of these firms. Second, multiple estimation horizons of past performance variables (ranging from one to five years) are used to assess whether the interaction between growth patterns and measurement interval lengths of these variables influence investor expectations. Third, this thesis examines whether an intermediate price drifts (e.g. Jegadeesh and Titman [1993]) and subsequent long-horizon price reversal (e.g. DeBondt and Thaler (1985)] are manifestations of a market over-reaction as suggested in recent studies (e.g. Lee and Swaminathail [2000]).Annual data on sales, earnings, cash flow, and stock returns over various time periods from a sample of publicly traded firms listed on the NYSE, AMEX, and NASDAQ exchanges from 1983 to 1999 are used to address the research questions proposed in this thesis. The evidence provided in this study shows that low-growth firms outperform their high-growth firm counterparts across different performance variables, estimation intervals, and investment horizons except in the first post-formation year for firms ranked by their prior one-year financial growth rate (except for sales growth). These return differentials between low and high growth firms increase uniformly as more years of past financial performance added.Furthermore, when ranking firms based on the consistency of their prior financial growth rates over multiple estimation periods, this study finds that a firm consistently achieving low (high) growth rates that places it in the lowest (highest) growth 40 percent earns high (low) stock returns. The consistency in a firmu27s prior financial performance influences the behavior of its future stock returns, i.e. the longer the consistency of exceptionally strong (weak) performance of a firm, the greater (lower) its subsequent stock returns. However, the incremental impact of an additional year of growth consistency on future returns seems to dissipate after the third year of prior performance data, suggesting that it may not take investors longer than three years to assume that a firmu27s past growth will continue for many years to come. Thus, additional evidence confirming investorsu27 prior beliefs will not lead to a significant price drift because their expectations are already reflected in market prices.First year returns for firms except SG exhibit a strong financial drift. The price drift seems to persist even with longer estimation horizons. Multiple regression analyses suggest that reported higher returns for low-growth firms is not due to risk as measured by market betas or book-to-market ratios, nor is it due to the disproportionate impact caused by relatively smaller firms. As well, the one-year-ahead size-adjusted abnormal returns are significantly and negatively related to the size-adjusted abnormal returns for years 2 through 5. This result indicates that the evidence of a price drift reported in the first post-formation year might be due to a market over-reaction, a finding consistent with results reported by Lee and Swaminathan (2000). In additional analysis, return performance for all growth portfolios for the month of January is compared to the remainder of the year. No evidence indicating that returns to these portfolios are driven by extraordinary performance of low-growth firms in the month of January.For all variables (except for past sales growth and to some degree past stock returns), the financial drift in year one return for portfolios based on prior-one year of past performance data, is significantly stronger than that reported in Chan et al. (2004). Results reported in this thesis indicate that the average abnormal return differential between low and high growth firms for the five-year estimation intervals (with exception of past sales growth) is greater than 10 percentage points. The evidence contradicts that documented in Chan et al. (2004). They find no discernable evidence of price reversals over the next 36-months after ranking firms by their five-year growth rates in sales, operating income, and net income. However, results of this study are consistent with the predictions of behavioral models (e.g. Daniel et al. [I998] and Lakonishok et al. [1994]) suggesting that investors put excessive weight on patterns of a firmu27s past financial performance when projecting its future prospects.
机译:本论文的目标是三个方面。首先,本文研究了公司过去的财务绩效的模式(增长和增长的一致性)是否会影响投资者对这些公司的股票价值和未来绩效的看法。其次,过去的绩效变量(从一到五年)的多个估计范围用于评估增长模式和这些变量的测量间隔长度之间的相互作用是否会影响投资者的期望。第三,本文研究了中间价格波动(例如Jegadeesh和Titman [1993])以及随后的长期价格反转(例如DeBondt和Thaler(1985))是否表明市场过度反应(如最近的研究建议)(例如Lee和Swaminathail [2000])。从1983年至1999年在纽约证券交易所,美国证券交易所和纳斯达克交易所上市的一些公开交易公司的样本中,各个时期的销售,收益,现金流量和股票回报的年度数据用于处理研究提供的证据表明,在按绩效排名,估计区间和投资范围不同的情况下,低成长型公司的表现优于高成长型公司,除非在排名第一的公司中他们的前一年财务增长率(销售增长率除外)。随着更多过去几年财务业绩的增长,低增长率公司和高增长率公司之间的回报差异会均匀增加此外,当根据多个估计期间内先前财务增长率的一致性对公司进行排名时,本研究发现,如果公司持续实现低(高)增长率,而使其增长率最低(最高)则为40%,那么该公司的收益就很高。 (低)股票收益。公司先前财务绩效的一致性会影响其未来股票收益的行为,即,公司异常强(弱)绩效的一致性越长,其后续股票收益就越大(越低)。但是,在以前的业绩数据的第三年之后,额外的一年的增长一致性对未来回报的增量影响似乎消失了,这表明投资者可能不需要三年多的时间就可以假设公司过去的增长将持续到许多年以后。因此,更多的证据证实了投资者的先前信念不会导致重大的价格漂移,因为他们的期望已经反映在市场价格中。除新加坡公司外,公司的第一年收益表现出强劲的财务漂移。即使在更长的估计范围内,价格漂移似乎仍将持续。多元回归分析表明,报告的低增长公司较高的收益既不是由于市场贝塔值或账面市价率所衡量的风险,也不是由于规模相对较小的公司所造成的不成比例的影响。同样,提前一年的规模调整后的异常收益与第2年到第5年的规模调整后的异常收益显着负相关。该结果表明,在形成后的第一年报告了价格漂移的证据。可能是由于市场反应过度,这一发现与Lee和Swaminathan(2000)报告的结果一致。在其他分析中,将一月份所有增长投资组合的回报表现与该年剩余时间进行了比较。没有证据表明这些投资组合的回报是由一月份低增长公司的出色表现驱动的。对于所有变量(过去的销售增长以及一定程度上的股票回报除外),第一年的财务漂移基于前一年的过去绩效数据的投资组合比Chan等人报告的投资组合明显更强大。 (2004)。本文报道的结果表明,在低估和高增长的公司之间,五年估计间隔(过去的销售增长除外)之间的平均异常收益差异大于10个百分点。证据与Chan等人的文献相矛盾。 (2004)。在按照公司的销售,营业收入和净收入的五年增长率对公司进行排名之后,他们没有发现明显的证据表明未来36个月内有价格反转。但是,这项研究的结果与行为模型的预测是一致的(例如Daniel等人[I998]和Lakonishok等人[1994]),这表明投资者在进行预测时过分重视公司过去的财务绩效模式它的未来前景。

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    Alwathainani Abdulaziz;

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  • 年度 2006
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