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Analysis of quantitative investment strategies: trend following – a multiple moving average approach

datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorHirschey, Nicholas
dc.contributor.authorWand, Sebastian
dc.date.accessioned2026-05-18T09:16:56Z
dc.date.available2026-05-18T09:16:56Z
dc.date.issued2026-01-23
dc.date.submitted2025-12-17
dc.description.abstractThis thesis evaluates a Trend Following strategy based on Multiple Moving Averages. Two novel metrics are introduced to capture trend strength based on the relative ordering of the averages and aim to adjust position sizing beyond the directional signal from a moving average crossover. Applied to a broad set of macro futures indices, the strategy is profitable. However, most returns originate from the moving-average crossover, while the additional metrics provide limited contribution. Compared with a breakout-based Trend Following strategy, the approach underperforms.eng
dc.identifier.tid204240794
dc.identifier.urihttp://hdl.handle.net/10362/203158
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectTrend following
dc.subjectMoving averages
dc.subjectTime series momentum
dc.subjectTrading
dc.subjectQuantitative investment strategies
dc.subjectHedge funds
dc.titleAnalysis of quantitative investment strategies: trend following – a multiple moving average approacheng
dc.typemaster thesis
dspace.entity.typePublication
thesis.degree.nameA Work Project presented as part of the requirements for the Award of a Master’s degree in Finance from the Nova School of Business and Economics

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