通过简单的建议组合和技术交易规则击败市场

IF 0.6 Q4 BUSINESS, FINANCE
Massoud Metghalchi, Peggy Cloninger, Farhang Niroomand
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引用次数: 0

摘要

本研究提供的证据表明,应用于拟议的简单交易所交易基金(ETF)投资组合的众所周知的技术交易规则(trs)比“市场”和排名靠前的平衡基金(BFs)提供更好的风险调整绩效。我们建立了两个知名etf的投资组合,并将移动平均线(MA),相对强弱指数(RSI)和移动平均收敛发散(MACD)技术应用于2007年1月31日至2021年8月31日的简单建议投资组合。我们设计了两种策略:(1)多头/资金和(2)杠杆/资金。我们将一些著名的交易规则应用于我们提出的策略(1),即更保守的投资策略Long/Money的投资组合,将其风险调整后的表现与14个排名靠前的BFs的风险调整后的表现进行比较。将策略(1)应用于我们的投资组合的最佳交易规则在整个时期和两个相等的子时期内都优于所有排名靠前的BFs。同样,最佳交易规则适用于我们的投资组合,策略(2)优于“市场”,在整个时期和两个相等的子时期采用买入并持有(B&H)策略。本文有助于研究有效市场的共同假设的文献,并可能对许多基金经理具有重要的实际意义。此外,我们报纸的社会影响可能会影响到成千上万试图“击败”市场的零售交易商。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beating the market with a simple proposed portfolio and technical trading rules
This study presents evidence that well-known technical trading rules (TTRs) applied to a proposed simple exchange-traded fund (ETF) portfolio provide better risk-adjusted performance than the ‘market’ and top-ranked balanced funds (BFs). We form a portfolio of two well-known ETFs and apply some well-known TTRs like Moving Average (MA), Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) techniques to this simple proposed portfolio from January 31, 2007 to August 31, 2021. We design two strategies: (1) Long/Money and (2) Leverage/Money. We compare the risk-adjusted performance of some well-known trading rules applied to our proposed portfolio with strategy (1), Long/Money, which is a more conservative investment strategy, to the risk-adjusted performance of 14 top-ranked BFs. The best trading rules with strategy (1) applied to our portfolio outperform all the top-ranked BFs for the entire period and over two equal sub-periods. Similarly, the best trading rules applied to our portfolio with strategy (2) outperform the ‘market’, a Buy and Hold (B&H) strategy for the entire period and over two equal sub-periods. This paper contributes to the literature examining the common assumptions of efficient markets and could have important practical implications for many fund managers. In addition, the social impact of our paper could affect thousands of retail traders who are trying to ‘beat’ the market.
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