Autocorrelations for raw and absolute returns of both markets
| Asset | Mean/median | |||||||
|---|---|---|---|---|---|---|---|---|
| rX | Mean | 0.09 | 0.07 | 0.07 | 0.32 | 0.22 | 0.13 | 0.07 |
| Median | 0.03 | 0.01 | 0.01 | 0.28 | 0.17 | 0.09 | 0.02 | |
| rZ | Mean | 0.03 | 0.01 | 0.01 | 0.27 | 0.17 | 0.08 | 0.02 |
| Median | 0.03 | 0.01 | 0.01 | 0.28 | 0.17 | 0.08 | 0.02 |
| Asset | Mean/median | |||||||
|---|---|---|---|---|---|---|---|---|
| Mean | 0.09 | 0.07 | 0.07 | 0.32 | 0.22 | 0.13 | 0.07 | |
| Median | 0.03 | 0.01 | 0.01 | 0.28 | 0.17 | 0.09 | 0.02 | |
| Mean | 0.03 | 0.01 | 0.01 | 0.27 | 0.17 | 0.08 | 0.02 | |
| Median | 0.03 | 0.01 | 0.01 | 0.28 | 0.17 | 0.08 | 0.02 |
Notes:
The table displays the estimates of the mean and the median of the autocorrelation in raw returns, , for lags ℓ ∈ {1,2,3}, and the autocorrelation in absolute returns, ,for lags ℓ ∈ {1,20,50,100}; computations are based on 1,000 time series, each containing 5,000 observations
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