In this short note, we investigate persistence in two climate risk measures – climate policy uncertainty index (cpu_index) and the Global Land and Ocean Temperature Anomalies (GLOT). Using the fractional integration method, we find that cpu_index and GLOT exhibit high, but mean reverting persistence, both in full and sub-samples.
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