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On front-running momentum and portfolio optimization

Most of the empirical research on momentum in finance has been conducted using monthly data and horizons for the formation and holding period of winner and loser portfolio. This research paper studies momentum using a weekly approach and examines strategies that are more flexible than the crowded mo...

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Main Author: Segeritz, John R
Other Authors: Van Rensburg, Paul
Format: Thesis
Language:English
Published: Department of Finance and Tax 2017
Subjects:
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access_status_str Open Access
author Segeritz, John R
author2 Van Rensburg, Paul
author_browse Segeritz, John R
Van Rensburg, Paul
author_facet Van Rensburg, Paul
Segeritz, John R
author_sort Segeritz, John R
collection Thesis
description Most of the empirical research on momentum in finance has been conducted using monthly data and horizons for the formation and holding period of winner and loser portfolio. This research paper studies momentum using a weekly approach and examines strategies that are more flexible than the crowded month-end approach. In particular, this paper is interested in analyzing the legal front-running of month-end momentum strategies by one to five weeks. Furthermore this study analyzes how momentum profits change by using different start dates within a month ("week-effect") as well as within a year ("month-effect") and finds that the second-last week of the month as well as the cluster of months September, October and November exhibit higher Sharpe ratios, more favorable levels of skewness and better protection against downside risk. In addition, this study demonstrates evidence that momentum investing using the widespread "monthend" view is rarely a strictly dominant strategy.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:42:20.706Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher Department of Finance and Tax
publisherStr Department of Finance and Tax
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/25078 On front-running momentum and portfolio optimization Segeritz, John R Van Rensburg, Paul Finance Most of the empirical research on momentum in finance has been conducted using monthly data and horizons for the formation and holding period of winner and loser portfolio. This research paper studies momentum using a weekly approach and examines strategies that are more flexible than the crowded month-end approach. In particular, this paper is interested in analyzing the legal front-running of month-end momentum strategies by one to five weeks. Furthermore this study analyzes how momentum profits change by using different start dates within a month ("week-effect") as well as within a year ("month-effect") and finds that the second-last week of the month as well as the cluster of months September, October and November exhibit higher Sharpe ratios, more favorable levels of skewness and better protection against downside risk. In addition, this study demonstrates evidence that momentum investing using the widespread "monthend" view is rarely a strictly dominant strategy. 2017-09-06T07:09:42Z 2017-09-06T07:09:42Z 2017 Master Thesis Masters MCom http://hdl.handle.net/11427/25078 eng application/pdf Department of Finance and Tax Faculty of Commerce University of Cape Town
spellingShingle Finance
Segeritz, John R
On front-running momentum and portfolio optimization
thesis_degree_str Master's
title On front-running momentum and portfolio optimization
title_full On front-running momentum and portfolio optimization
title_fullStr On front-running momentum and portfolio optimization
title_full_unstemmed On front-running momentum and portfolio optimization
title_short On front-running momentum and portfolio optimization
title_sort on front running momentum and portfolio optimization
topic Finance
url http://hdl.handle.net/11427/25078
work_keys_str_mv AT segeritzjohnr onfrontrunningmomentumandportfoliooptimization