AN ARGUMENT AGAINST STOCK-PICKING AND MARKET-TIMING: AN EMPIRICAL APPROACH

dc.contributor.authorEnrique Rafael González Pozo
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T16:22:51Z
dc.date.available2026-03-22T16:22:51Z
dc.date.issued2021
dc.descriptionCitaciones: 1
dc.description.abstractThis paper’s objective is to demystify the world of investing, first by showing and exposing the results the greatest money managers in the Wall Street have obtained over the last years compared to the performance of their benchmark indexes. Index investing represents a passive investment strategy of holding hundreds of stocks instead of the active management approach used by these experts. After exposing said results, a theoretical framework will be presented that explains why money managers have such a difficult time outperforming their benchmark indexes. Later on, a back-test experiment will be presented and thoroughly explained showing five different hypothetical investment scenarios over several 20-year periods with the attempt to quantify the potential benefit of perfectly timing the market and compare it to the cost of waiting for a better time to invest. The results find shows that the cost of waiting is much greater that the potential benefit of perfectly timing the market and the best alternative would be to invest available cash immediately regardless of market or economic outlook.
dc.identifier.doi10.23881/idupbo.020.2-6e
dc.identifier.urihttps://doi.org/10.23881/idupbo.020.2-6e
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/57899
dc.language.isoen
dc.relation.ispartofRevista Investigación & Desarrollo
dc.sourceUniversidad Privada Boliviana
dc.subjectMarket timing
dc.subjectBenchmark (surveying)
dc.subjectCash
dc.subjectEconomics
dc.subjectStock market
dc.subjectArgument (complex analysis)
dc.subjectIndex (typography)
dc.subjectInvestment (military)
dc.subjectStock (firearms)
dc.subjectInvestment strategy
dc.titleAN ARGUMENT AGAINST STOCK-PICKING AND MARKET-TIMING: AN EMPIRICAL APPROACH
dc.typearticle

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