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Analyst forecast accuracy: Do ability and portfolio complexity matter?

机译:分析师预测准确性:能力和投资组合的复杂性是否重要?

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摘要

This thesis investigates the association of security analysts' ability and portfolio complexity with their forecasting accuracy. Ability is defined as the amount of effort required to produce a forecast of a given level of precision. An analyst is said to be of higher ability if he requires less effort to produce a forecast at a given level of precision than other analysts. Portfolio complexity is defined as the amount of effort required to produce forecasts of a given average level of precision for a set of firms. A portfolio is said to be more complex when, holding ability constant, more effort is required to produce forecasts at a given average level of precision relative to other portfolios. This study uses proxies for ability that include employer size and years of experience and proxies for portfolio complexity that include the number of firms and industries followed. The use of these proxies is based on the assumptions that high ability analysts have more experience and work for larger firms, and that it requires more effort to forecast earnings for a larger number of firms and industries.;The hypotheses predict that high ability analysts and analysts who follow less complex portfolios will supply more accurate forecasts than other analysts. The hypotheses are tested using the I/B/E/S data set. I measure forecasting performance by comparing analysts' absolute forecast errors to the forecast errors of two benchmarks; the average analyst's absolute forecast error and the expected absolute random walk forecast error. I find that analysts' absolute forecast errors improve with experience. I also find that analysts who are employed by large brokers have absolute forecast errors that are smaller than other analysts. Finally, I find that expected absolute forecast errors increase with the number of firms and industries followed.;This thesis also investigates analysts' performance in the banking industry, with a focus on the role of specialization. When specialization is defined as the number of banks followed, with specialists having a higher proportion of banks in their portfolio, I find that specialists perform better than other analysts.
机译:本文研究了安全分析师的能力与投资组合复杂性及其预测准确性之间的关系。能力定义为产生给定精度水平的预测所需的工作量。如果分析师比其他分析师需要更少的精力来以给定的精确度进行预测,那么他的能力就会更高。投资组合的复杂性定义为为一组公司产生给定的平均精度水平的预测所需的工作量。当保持能力不变时,相对于其他投资组合,在给定的平均精确度水平下需要做出更多的努力来生成预测时,一个投资组合就更复杂了。这项研究使用了包括雇主规模和经验的能力的代理,以及包括投资公司和行业数量的投资组合复杂性的代理。这些代理的使用是基于这样的假设,即高能力分析师具有更多的经验并为大型公司工作,并且需要付出更多的努力才能预测大量公司和行业的收益。遵循较简单投资组合的分析师将提供比其他分析师更准确的预测。使用I / B / E / S数据集检验假设。我通过将分析师的绝对预测误差与两个基准的预测误差进行比较来衡量预测绩效。平均分析师的绝对预测误差和预期的绝对随机游走预测误差。我发现分析师的绝对预测误差会随着经验的增加而提高。我还发现,受大型经纪人聘用的分析师的绝对预测误差比其他分析师要小。最后,我发现预期的绝对预测误差随所跟踪的公司和行业的数量而增加。;本文还研究了分析师在银行业的表现,并着重于专业化的作用。当将专业化定义为紧随其后的银行数量时,专家在其投资组合中拥有较高的银行比例,我发现专家的表现要优于其他分析师。

著录项

  • 作者

    Clement, Michael Bruce.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Accounting.;Finance.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 174 p.
  • 总页数 174
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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