On markets with receding prices, artificial noise traders may consideralternatives to buy-and-hold. By simulating variations of the Parrondostrategy, using real data from the Swedish stock market, we produce firstindications of a buy-low-sell-random Parrondo variation outperformingbuy-and-hold. Subject to our assumptions, buy-low-sell-random also outperformsthe traditional value and trend investor strategies. We measure the success ofthe Parrondo variations not only through their performance compared to otherkinds of strategies, but also relative to varying levels of perfectinformation, received through messages within a multi-agent system ofartificial traders.
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