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Univariate tests of momentum on the JSE

Univariate tests of momentum on the JSE This study intends to test whether medium-term price momentum is present on the cross-section of shares listed on the JSE. Using the methodology of Jegadeesh and Titman (1993; 2001), shares are sorted applying four estimation periods (E = 3, 6, 9 and 12 months) and held for four portfolio holding periods (H = 3, 6, 9 and 12 months) post sort. The portfolio ‘optimisation’ methodology employed in this study provides additional insight when compared with previous tests conducted in South African literature, as further robustness tests are applied in order to determine the sensitivity of momentum to variations in sorting methodology, liquidity and trading costs. The study finds that estimation and holding periods between six and nine months generate the highest levels of excess return. Consistent with the findings of Basiewicz and Auret (2009) in relation to the size and value anomalies and Oladele and Bradfield (2016), equally weighted momentum excess returns provide a premium when compared to value weighting. Bid-ask bounce and microstructure effects are present on the JSE, given that momentum profits consistently increase when applying the skipping of most recent estimation month per Asness (1997) and, lastly, momentum is consistently more sensitive to direct transaction costs when compared to liquidity. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Investment Analysts Journal Taylor & Francis

Univariate tests of momentum on the JSE

Investment Analysts Journal , Volume 46 (3): 16 – Jul 3, 2017

Univariate tests of momentum on the JSE

Investment Analysts Journal , Volume 46 (3): 16 – Jul 3, 2017

Abstract

This study intends to test whether medium-term price momentum is present on the cross-section of shares listed on the JSE. Using the methodology of Jegadeesh and Titman (1993; 2001), shares are sorted applying four estimation periods (E = 3, 6, 9 and 12 months) and held for four portfolio holding periods (H = 3, 6, 9 and 12 months) post sort. The portfolio ‘optimisation’ methodology employed in this study provides additional insight when compared with previous tests conducted in South African literature, as further robustness tests are applied in order to determine the sensitivity of momentum to variations in sorting methodology, liquidity and trading costs. The study finds that estimation and holding periods between six and nine months generate the highest levels of excess return. Consistent with the findings of Basiewicz and Auret (2009) in relation to the size and value anomalies and Oladele and Bradfield (2016), equally weighted momentum excess returns provide a premium when compared to value weighting. Bid-ask bounce and microstructure effects are present on the JSE, given that momentum profits consistently increase when applying the skipping of most recent estimation month per Asness (1997) and, lastly, momentum is consistently more sensitive to direct transaction costs when compared to liquidity.

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References (33)

Publisher
Taylor & Francis
Copyright
© 2017 Investment Analysts Society of South Africa
ISSN
2077-0227
eISSN
1029-3523
DOI
10.1080/10293523.2017.1319162
Publisher site
See Article on Publisher Site

Abstract

This study intends to test whether medium-term price momentum is present on the cross-section of shares listed on the JSE. Using the methodology of Jegadeesh and Titman (1993; 2001), shares are sorted applying four estimation periods (E = 3, 6, 9 and 12 months) and held for four portfolio holding periods (H = 3, 6, 9 and 12 months) post sort. The portfolio ‘optimisation’ methodology employed in this study provides additional insight when compared with previous tests conducted in South African literature, as further robustness tests are applied in order to determine the sensitivity of momentum to variations in sorting methodology, liquidity and trading costs. The study finds that estimation and holding periods between six and nine months generate the highest levels of excess return. Consistent with the findings of Basiewicz and Auret (2009) in relation to the size and value anomalies and Oladele and Bradfield (2016), equally weighted momentum excess returns provide a premium when compared to value weighting. Bid-ask bounce and microstructure effects are present on the JSE, given that momentum profits consistently increase when applying the skipping of most recent estimation month per Asness (1997) and, lastly, momentum is consistently more sensitive to direct transaction costs when compared to liquidity.

Journal

Investment Analysts JournalTaylor & Francis

Published: Jul 3, 2017

Keywords: momentum; liquidity; transaction costs; reversal; price filter; bid-ask bounce; microstructure effects; estimation period; holding period

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