Dynamic Z-score Asset Allocation to Size, Value, and Industry Return Shocks

Q4 Economics, Econometrics and Finance
W. Trainor, G. L. Shelley
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引用次数: 0

Abstract

This study examines short-term diverging returns between popular asset classes such as value vs growth, small vs large, and significant industry return divergences to determine if switching strategies can take advantage of relative valuations. Findings show Z-scores based on 1 to 3-month cumulative returns relative to the previous year are positively related to the proceeding one-month excess return. For size, value, and growth, the asset class that significantly outperforms their counterpart over six months or longer mean reverts. Industries significantly outperforming from one to six months are found to continue to do so. These results hold up across various time frames from 1926 through 2022 and outperform a simple buy-and-hold strategy over multiple time periods. Practical application using ETFs over the last 20 years continue to show success for size and value, but industry switching does not outperform a simple buy-and-hold strategy.
对规模、价值和行业回报冲击的动态z得分资产配置
本研究考察了流行资产类别(如价值与增长、小与大)之间的短期差异回报,以及显著的行业回报差异,以确定转换策略是否可以利用相对估值。研究结果显示,相对于前一年,基于1至3个月累积回报的z分数与前一个月超额回报呈正相关。就规模、价值和增长而言,在6个月或更长时间内表现明显优于同类资产的资产类别回归均值。研究发现,在1至6个月内表现显著的行业将继续表现出色。这些结果在1926年至2022年的不同时间段内都适用,在多个时间段内都优于简单的买入并持有策略。在过去20年里,etf的实际应用继续显示出规模和价值上的成功,但行业转换并不比简单的买入并持有策略表现更好。
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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来源期刊
African Journal of Business and Economic Research
African Journal of Business and Economic Research Business, Management and Accounting-Business and International Management
CiteScore
0.80
自引率
0.00%
发文量
33
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