根据标准普尔500指数确定投资者在COVID-19危机期间的策略

IF 2 Q3 MANAGEMENT
J. Pekár, I. Brezina, M. Reiff
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引用次数: 0

摘要

背景:新冠肺炎危机带来的最显著的变化是在家办公的急剧增加和电子商务的日益重要,这影响了一些行业的发展。这种变化也影响到投资者的投资操作,投资者的投资操作是建立在分析的基础上,以确保投资财务金额的无可置疑的确定性和令人满意的回报。因此,基于CVaR风险度量的投资组合优化模型分析所选择的投资策略的可能收益是一个有趣的问题。目的:本文旨在展示基于CVaR风险度量的投资组合选择优化模型在危机(COVID-19)和危机前构建的有效投资组合收益分析的可能用途。研究设计/方法/方法:本文通过CVaR风险度量来展示COVID-19危机对投资者决策的影响,该度量是基于标准普尔500指数(S&P 500)在危机时期和危机前时期的成分股历史数据实施的。研究结果/结论:本文提出的方法基于CVaR风险率度量和相关的投资组合选择模型,为投资者在两个监测时期内将资金配置到特定细分市场的金融市场提供了有效的工具。局限性/未来研究:时间序列数据根据COVID-19病例数等可见因素分为两个时期。在未来的研究中,我们的目标是根据影响投资者决策的不可观察因素(如市场上的牛市或熊市情绪)来划分监测期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining the investors' strategy during the COVID-19 crisis based on the S&P 500 stock index
Background: The most significant changes caused by the COVID-19 crisis were the sharp increase in working from home and the growing importance of e-commerce, which affected the development of some industries. This change also affects the investors' investment operations, which are based on analysis to ensure an unquestionable certainty of the invested financial amount and a satisfactory return. It is, therefore, interesting to analyze the possible return of the chosen investment strategy based on the optimization model of portfolio selection based on the CVaR risk measure. Purpose: The paper aims to present the possible use of the analysis of returns of effective portfolios constructed based on the optimization model of portfolio selection based on the CVaR risk measure during the crisis (COVID-19) and the pre-crisis period. Study design/methodology/approach: Paper presents the impact of the COVID-19 crisis on investor decision-making through the CVaR risk measure, which was implemented on the historical data of the components of the Standard and Poor's 500 stock index (S&P 500) in the crisis period as well as in the pre-crisis period. Findings/conclusions: The presented approach based on the CVaR risk rate measure and the relevant portfolio selection model provides the investor with an effective tool for allocating funds to the financial market in particular segments in both monitored periods. Limitations/future research: Time series data are divided into two periods based on visible factors such as the number of COVID-19 cases. In future research, we aim to divide monitored periods based on unobservable factors influencing investors' decisions, such as bull or bear mood on the market.
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来源期刊
Strategic Management
Strategic Management MANAGEMENT-
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8.30%
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