Double unit roots challenge traditional tests, impacting financial stability predictions.
The article explores how unit root tests behave when the data has double unit roots instead of just one. Standard tests show a high chance of false positives in the explosive region, but the lower tail remains stable with double unit roots. The Phillips-Perron tests tend to favor the explosive alternative. Simulations confirm these results and show their impact on real-world data.