预测收益和回报:回顾最近的进展

Q1 Mathematics
Jeremiah Green , Wanjia Zhao
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引用次数: 5

摘要

我们有选择地回顾了收益和回报预测模型研究的最新进展。我们讨论了为什么应用统计、计量经济学和机器学习的进步来预测收益和回报会带来困难的挑战。在这些挑战的背景下,我们讨论了最近面临挑战的论文,并提出了有希望的进展和未来研究的路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting earnings and returns: A review of recent advancements

We selectively review recent advancements in research on predictive models of earnings and returns. We discuss why applying statistical, econometric, and machine learning advancements to forecasting earnings and returns presents difficult challenges. In the context of these challenges, we discuss recent papers that confront the challenges and present promising advancements and paths for future research.

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来源期刊
Journal of Finance and Data Science
Journal of Finance and Data Science Mathematics-Statistics and Probability
CiteScore
3.90
自引率
0.00%
发文量
15
审稿时长
30 days
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