From: Drawdown-based risk indicators for high-frequency financial volumes
Descriptive statistics of \(S_c^{s}\)-NETFLIX | |||||||
---|---|---|---|---|---|---|---|
\(s=0\) (%) | Q1 | Q2 | Q3 | Mean | SD | AI | Censoring rate (%) |
\(M=30\) | 0.1250 | 0.1250 | 0.2250 | 0.1026 | 0.0901 | \(-\)0.7453 | 0 |
\(M=40\) | 0.1667 | 0.1667 | 0.3000 | 0.1351 | 0.1166 | \(-\)0.8130 | 0 |
\(M=80\) | 0.3333 | 0.3333 | 0.6000 | 0.2525 | 0.2205 | \(-\)1.0997 | 0.8 |
\(s=5\) (%) | Q1 | Q2 | Q3 | Mean | SD | AI | Censoring rate (%) |
---|---|---|---|---|---|---|---|
\(M=30\) | 0.0675 | 0.1250 | 0.1250 | 0.1028 | 0.0697 | \(-\)0.9579 | 0 |
\(M=40\) | 0.0900 | 0.1167 | 0.1667 | 0.1356 | 0.0899 | 0.6331 | 0 |
\(M=80\) | 0.1238 | 0.2333 | 0.3333 | 0.2300 | 0.1804 | \(-\)0.0552 | 0.8 |
\(s=50\) (%) | Q1 | Q2 | Q3 | Mean | SD | AI | Censoring rate (%) |
---|---|---|---|---|---|---|---|
\(M=30\) | 0.0875 | 0.1250 | 0.2250 | 0.1065 | 0.0754 | \(-\)0.7351 | 0 |
\(M=40\) | 0.1167 | 0.1667 | 0.3000 | 0.1398 | 0.0957 | \(-\)0.8430 | 0 |
\(M=80\) | 0.1800 | 0.3333 | 0.6000 | 0.2560 | 0.1894 | \(-\)1.2255 | 1.6 |
\(s=100\) (%) | Q1 | Q2 | Q3 | Mean | SD | AI | Censoring rate (%) |
---|---|---|---|---|---|---|---|
\(M=30\) | 0.1250 | 0.1250 | 0.2250 | 0.1136 | 0.0781 | \(-\)0.4391 | 0 |
\(M=40\) | 0.1167 | 0.1667 | 0.3000 | 0.1513 | 0.0965 | \(-\)0.4779 | 0 |
\(M=80\) | 0.2333 | 0.3333 | 0.6000 | 0.2725 | 0.1905 | \(-\)0.9584 | 1.6 |