哪些每日股票收益率能改善产出预测?

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-08-05 DOI:10.1016/j.econlet.2024.111897
Mohammad R. Jahan-Pavar , William J. Lang
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引用次数: 0

摘要

我们记录了通过纳入每日金融数据和使用混合数据抽样(MIDAS)回归对美国和欧元区实际产出增长短期预测的改进。此外,我们还表明,预测改进的很大一部分是由大型资本密集型企业股票回报中的信息所驱动的。相比之下,在 MIDAS 框架内,劳动密集型企业对产出预测改善的贡献较小。
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Which daily equity returns improve output forecasts?

We document the improvements in short term forecasts of real output growth for the United States and the euro area from incorporating daily financial data and using mixed data sampling (MIDAS) regressions. Furthermore, we show that a significant share of forecast improvements are driven by information embedded in stock returns of large, capital-intensive firms. In comparison, labor-intensive firms contribute less to improvements in output forecasts within a MIDAS framework.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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