揭示超额收益:顶级人工智能相关股票与 IT 指数和机器人 ETF 的投资组合分析

IF 2 Q2 BUSINESS, FINANCE Risks Pub Date : 2024-03-13 DOI:10.3390/risks12030052
Ali Trabelsi Karoui, Sonia Sayari, Wael Dammak, Ahmed Jeribi
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引用次数: 0

摘要

在本研究中,我们深入金融市场,将著名的人工智能和机器人相关股票的表现与纳斯达克等传统 IT 指数以及专门的人工智能和机器人 ETF 进行比较。我们评估了这些股票在多样化投资组合中的作用,分析了它们的回报潜力和风险状况。我们的分析包括各种投资情景,重点关注美国常见的人工智能相关股票。我们探讨了从 "买入并持有 "到每日再平衡等风险管理策略对人工智能股票投资组合的影响。这包括研究买入并持有等长期策略,以及每日再平衡等短期方法。我们的研究覆盖 2021 年 4 月 30 日至 2023 年 9 月 15 日这一时期,结果表明,近年来人工智能相关股票不仅表现优异,而且凸显了日益增长的 "人工智能泡沫 "以及人工智能在投资决策中越来越重要的地位。研究显示,从夏普比率(Sharpe)和特雷诺比率(Treynor)等指标来看,这些股票表现优异,为科技和机器人行业的市场趋势和财务回报提供了洞察力。这些结果对人工智能领域的投资者和交易者尤其具有现实意义,为他们提供了一个在这个快速发展的市场中平衡潜在回报与风险的视角。本文表明,与纳斯达克等传统市场相比,投资人工智能等新兴趋势在短期内更具优势,从而为金融市场文献增添了新的内容。
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Unveiling Outperformance: A Portfolio Analysis of Top AI-Related Stocks against IT Indices and Robotics ETFs
In this study, we delve into the financial market to compare the performance of prominent AI and robotics-related stocks against traditional IT indices, such as the Nasdaq, and specialized AI and robotics ETFs. We evaluate the role of these stocks in diversifying portfolios, analyzing their return potential and risk profiles. Our analysis includes various investment scenarios, focusing on common AI-related stocks in the United States. We explore the influence of risk management strategies, ranging from “buy and hold” to daily rebalancing, on AI stock portfolios. This involves investigating long-term strategies like buy and hold, as well as short-term approaches, such as daily rebalancing. Our findings, covering the period from 30 April 2021, to 15 September 2023, show that AI-related stocks have not only outperformed in recent years but also highlight the growing “AI bubble” and the increasing significance of AI in investment decisions. The study reveals that these stocks have delivered superior performance, as indicated by metrics like Sharpe and Treynor ratios, providing insights into market trends and financial returns in the technology and robotics sectors. The results are particularly relevant for investors and traders in the AI sector, offering a balanced view of potential returns against the risks in this rapidly evolving market. This paper adds to the financial market literature by demonstrating that investing in emerging trends, such as AI, can be more advantageous in the short term compared to traditional markets like the Nasdaq.
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来源期刊
Risks
Risks Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
3.80
自引率
22.70%
发文量
205
审稿时长
11 weeks
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