Abstract
We propose two new trading strategies which are based on a mathematical hypothesis testing procedure identifying change points in the volatility structure of equity indices. In the first strategy, we use the detected change points in order to avoid market phases of high volatility and to allow for an equity investment with significantly reduced risk. Within the second strategy, a modification is used for a pair trading approach, which leads to a promising market neutral strategy. The robustness of the proposed strategies is verified by different statistical procedures. The results strongly indicate the usefulness of both approaches for institutional investors.
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