dc.contributor.advisor |
Van Rensburg, Paul |
en_ZA |
dc.contributor.author |
Segeritz, John R
|
en_ZA |
dc.date.accessioned |
2017-09-06T07:09:42Z |
|
dc.date.available |
2017-09-06T07:09:42Z |
|
dc.date.issued |
2017 |
en_ZA |
dc.identifier.citation |
Segeritz, J. 2017. On front-running momentum and portfolio optimization. University of Cape Town. |
en_ZA |
dc.identifier.uri |
http://hdl.handle.net/11427/25078
|
|
dc.description.abstract |
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. |
en_ZA |
dc.language.iso |
eng |
en_ZA |
dc.subject.other |
Finance |
en_ZA |
dc.title |
On front-running momentum and portfolio optimization |
en_ZA |
dc.type |
Master Thesis |
|
uct.type.publication |
Research |
en_ZA |
uct.type.resource |
Thesis
|
en_ZA |
dc.publisher.institution |
University of Cape Town |
|
dc.publisher.faculty |
Faculty of Commerce |
en_ZA |
dc.publisher.department |
Department of Finance and Tax |
en_ZA |
dc.type.qualificationlevel |
Masters |
|
dc.type.qualificationname |
MCom |
en_ZA |
uct.type.filetype |
Text |
|
uct.type.filetype |
Image |
|
dc.identifier.apacitation |
Segeritz, J. R. (2017). <i>On front-running momentum and portfolio optimization</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,Department of Finance and Tax. Retrieved from http://hdl.handle.net/11427/25078 |
en_ZA |
dc.identifier.chicagocitation |
Segeritz, John R. <i>"On front-running momentum and portfolio optimization."</i> Thesis., University of Cape Town ,Faculty of Commerce ,Department of Finance and Tax, 2017. http://hdl.handle.net/11427/25078 |
en_ZA |
dc.identifier.vancouvercitation |
Segeritz JR. On front-running momentum and portfolio optimization. [Thesis]. University of Cape Town ,Faculty of Commerce ,Department of Finance and Tax, 2017 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/25078 |
en_ZA |
dc.identifier.ris |
TY - Thesis / Dissertation
AU - Segeritz, John R
AB - 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.
DA - 2017
DB - OpenUCT
DP - University of Cape Town
LK - https://open.uct.ac.za
PB - University of Cape Town
PY - 2017
T1 - On front-running momentum and portfolio optimization
TI - On front-running momentum and portfolio optimization
UR - http://hdl.handle.net/11427/25078
ER -
|
en_ZA |