The Existence of Sell in May and Go Away in ASEAN-5

This research aims to test the existence of Sell in May and Go Away in the ASEAN-5 market. This quantitative research was conducted from May 2013 to October 2023 on the five founding countries of ASEAN. The dynamic panel data regression approach with the Generalized Method of Moment (GMM) estimation system which includes the unit root test, sargan test, and Arellano-Bond test with the help of Stata software. This research shows that the November-April period positively affect stock returns. This research found that there was Sell in May and Go Away in 4 of 5 ASEAN countries. This research also found that the January effect cannot strengthen the positive relationship between the November-April period and stock returns.

Authors

Publication Details

Journal
Telaah Bisnis
Published
2024-12-31
DOI
https://doi.org/10.35917/tb.v25i2.497
Primary Topic
Agricultural risk and resilience
Type
article
Field-Weighted Citation Impact
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article

The Existence of Sell in May and Go Away in ASEAN-5

Naila 'Ainaya Sholihati, Shindy Dwita Nuansari
Telaah Bisnis
Agricultural risk and resilience
article

The Existence of Sell in May and Go Away in ASEAN-5

Naila 'Ainaya Sholihati, Shindy Dwita Nuansari
article en

Abstract

This research aims to test the existence of Sell in May and Go Away in the ASEAN-5 market. This quantitative research was conducted from May 2013 to October 2023 on the five founding countries of ASEAN. The dynamic panel data regression approach with the Generalized Method of Moment (GMM) estimation system which includes the unit root test, sargan test, and Arellano-Bond test with the help of Stata software. This research shows that the November-April period positively affect stock returns. This research found that there was Sell in May and Go Away in 4 of 5 ASEAN countries. This research also found that the January effect cannot strengthen the positive relationship between the November-April period and stock returns.

Telaah BisnisVol. 25(2)
Openalex Percentile: Top 59%
Agricultural risk and resilience
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