Dynamic Portfolio Using Association Rules

We provide dynamic portfolio strategy capitalizing on the time-varying association rules. We set the moving observation window and employed changes in the number of negative rules as a signal for portfolio weights. The back-testing result shows that increasing number of negative rules reflects newly formed negative linkages between Korea stock market and related variables. The result suggests that as a proxy for systemic risk measure, signal from association rules can be an effective tool for portfolio risk management.