A Bayesian Network Model to Improve Stock Market Trend Following Strategies
ResumoTraditional trend-following models have been used for many years to invest in various asset classes. In this paper we propose a Bayesian Network architecture to enhance classical trend following performance applied to the US stock index. The results show that a Bayesian Network that considers other market variables outperforms both traditional trend following and buy and hold strategies.
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