From: Drawdown-based risk indicators for high-frequency financial volumes
Descriptive statistics of \(S_c^{s}\)-TESLA | |||||||
---|---|---|---|---|---|---|---|
\(s=0\) (%) | Q1 | Q2 | Q3 | Mean | SD | AI | Censoring rate (%) |
\(M=30\) | 0.1250 | 0.2250 | 0.2250 | 0.1097 | 0.1027 | \(-\)3.3693 | 0 |
\(M=40\%\) | 0.1667 | 0.3000 | 0.3000 | 0.1464 | 0.1305 | \(-\)3.5311 | 0 |
\(M=80\) | 0.3333 | 0.3333 | 0.6000 | 0.2949 | 0.2489 | \(-\)0.4632 | 0 |
\(s=5\) (%) | Q1 | Q2 | Q3 | Mean | SD | AI | Censoring rate (%) |
---|---|---|---|---|---|---|---|
\(M=30\) | 0.0550 | 0.0875 | 0.1250 | 0.1035 | 0.0648 | 0.7412 | 0 |
\(M=40\) | 0.0536 | 0.0900 | 0.1667 | 0.1157 | 0.0858 | 0.8990 | 0 |
\(M=80\) | 0.0844 | 0.1467 | 0.2333 | 0.2080 | 0.1649 | 1.1161 | 0 |
\(s=50\) (%) | Q1 | Q2 | Q3 | Mean | SD | AI | Censoring rate (%) |
---|---|---|---|---|---|---|---|
\(M=30\) | 0.0875 | 0.1250 | 0.2250 | 0.1232 | 0.0707 | \(-\)0.0752 | 0 |
\(M=40\) | 0.1167 | 0.1667 | 0.1667 | 0.1563 | 0.0889 | \(-\)0.3513 | 0 |
\(M=80\) | 0.1800 | 0.2333 | 0.3333 | 0.2883 | 0.1749 | 0.9421 | 0 |
\(s=100\) (%) | Q1 | Q2 | Q3 | Mean | SD | AI | Censoring rate (%) |
---|---|---|---|---|---|---|---|
\(M=30\) | 0.1250 | 0.1250 | 0.2250 | 0.1155 | 0.0919 | \(-\)0.3117 | 0 |
\(M=40\) | 0.1667 | 0.1667 | 0.3000 | 0.1645 | 0.1003 | \(-\)0.0659 | 0 |
\(M=80\) | 0.2333 | 0.3333 | 0.3333 | 0.3258 | 0.1789 | \(-\)0.1259 | 0 |