小组讨论总结:替代数据和机器学习

IF 0.4 Q4 BUSINESS, FINANCE

Journal of Alternative Investments Pub Date : 2022-07-26 DOI:10.3905/jai.2022.1.173

G. Filbeck, Keith H. Black, A. Filbeck, Hossein Kazemi

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引用次数: 0

摘要

替代数据和机器学习为研究人员提供了许多令人兴奋的机会。在这个小组讨论中，我们提供了背景信息，研究现状，投资应用，以及对未来使用替代数据和机器学习的一瞥。随着采用障碍的解决，替代数据和机器学习的增长将继续呈指数趋势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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PANEL DISCUSSION SUMMARY: Alternative Data and Machine Learning

Alternative data and machine learning present many exciting opportunities for researchers. In this panel discussion, we provide background information, the current state of research, investment applications, and a glimpse into the future using alternative data and machine learning. As barriers to adoption are addressed, the growth of alternative data and machine learning will continue its exponential trend.

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来源期刊

Journal of Alternative Investments BUSINESS, FINANCE-

CiteScore

1.50

自引率

14.30%

发文量

期刊介绍： The Journal of Alternative Investments (JAI) provides you with cutting-edge research and expert analysis on managing investments in hedge funds, private equity, distressed debt, commodities and futures, energy, funds of funds, and other nontraditional assets. JAI is the official publication of the Chartered Alternative Investment Analyst Association (CAIA®). JAI provides you with challenging ideas and practical tools to: •Profit from the growth of hedge funds and alternatives •Determine the optimal mix of traditional and alternative investments •Measure and track portfolio performance •Manage your alternative investment portfolio with proven risk management practices