We propose a novel approach, called random traders, to benchmark equity funds' performance. A random trader adopts an all-in-all-out strategy to buy and sell the market index at random timing with capital being negligible as compared with the market size. With the empirical distribution of a random trader's return, each equity fund is scored by the proportion of random traders with poorer performance. Based on this technique, we develop two trading schemes to show the profitability of random traders. The Scheme I achieves the accumulated profit of 104% by backtesting in 396 equity funds investing in Taiwan market from June 2004 to December 2012. Furthermore, we develop Scheme II for the purpose of reducing frequency of trading when taking account into the transaction fees. The experimental results show the accumulated profit of Scheme II achieves 111.93% with the transaction fees 1.5% for each trade. Compared to the traditional method, always investing funds of top 10% performance, our trading scheme gets more 62.32% profit during this period. Moreover, the performance of Scheme II achieves the top 3% of that in these 396 funds.
關聯:
the 2014 IEEE International Conference on Granular Computing (GrC’14)，Noboribetsu，2014/10/22~24
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