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Table 30 Selection of the best parametric model as a function of s, M and \(M'\) for the measure \(R_t^{s}\) computed on Tesla simulated data

From: Drawdown-based risk indicators for high-frequency financial volumes

Model selection for \(R_t^{s}\)-simulated data for TESLA

M=80%

Lognormal

 

Exponential

 

Weibull

 

Gamma

 

\(M' \mid s=0\)

AIC

BIC

AIC

BIC

AIC

BIC

AIC

BIC

\(30\%\)

1.0326e+03

1.0383e+03

1.3185e+03

1.3214e+03

1.0730e+03

1.0787e+03

1.5154e+03

1.5210e+03

\(40\%\)

1.0634e+03

1.0690e+03

1.3352e+03

1.3380e+03

1.1154e+03

1.1211e+03

1.2925e+03

1.2982e+03

\(50\%\)

997.1760

1.0028e+03

1.2604e+03

1.2632e+03

1.0555e+03

1.0611e+03

1.1729e+03

1.1786e+03

\(M' \mid s=5\)

AIC

BIC

AIC

BIC

AIC

BIC

AIC

BIC

\(30\%\)

1.0840e+03

1.0897e+03

1.3582e+03

1.3611e+03

1.1325e+03

1.1382e+03

1.3766e+03

1.3823e+03

\(40\%\)

1.0345e+03

1.0402e+03

1.2439e+03

1.2467e+03

1.0905e+03

1.0962e+03

1.0703e+03

1.1766e+03

\(50\%\)

939.9660

945.6386

1.1266e+03

1.1294e+03

999.8915

1.0056e+03

1.0646e+03

1.1823e+03

\(M' \mid s=50\)

AIC

BIC

AIC

BIC

AIC

BIC

AIC

BIC

\(30\%\)

1.0867e+03

1.0924+03

1.2871e+03

1.2899e+03

1.1375e+03

1.1057e+03

1.2239e+03

1.2296e+03

\(40\%\)

1.0041e+03

1.0098e+03

1.1697e+03

1.1725e+03

1.0500e+03

1.0557e+03

1.1065e+03

1.1121e+03

\(50\%\)

868.0009

873.6735

1.0243e+03

1.0271e+03

920.6579

926.3305

976.1139

926.4127

\(M' \mid s=100\)

AIC

BIC

AIC

BIC

AIC

BIC

AIC

BIC

\(30\%\)

1.0137e+03

1.0194e+03

1.0684e+03

1.0713e+03

1.0387e+03

1.0443e+03

1.0493e+03

1.0550e+03

\(40\%\)

940.5239

946.1965

988.8454

991.6817

965.8764

971.5490

976.0319

981.7045

\(50\%\)

864.1064

869.7789

909.7296

912.5659

891.8050

897.4770

901.3648

907.0373

  1. The best parametric model is chosen by means of the AIC and BIC criteria. The smallest AIC and BIC values are in bold