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Table 29 Selection of the best parametric model as a function of s, M and \(M'\) for the measure \(R_t^{s}\) computed on Apple real data

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

Model selection for \(R_t^{s}\)-APPLE

M=80%

Lognormal

 

Exponential

 

Weibull

 

Gamma

 

\(M' \mid s=0\)

AIC

BIC

AIC

BIC

AIC

BIC

AIC

BIC

\(30\%\)

1.0024e+03

1.0081e+03

1.3678e+03

1.3706e+03

1.0518e+03

1.0574e+03

1.2893e+03

1.2949e+03

\(40\%\)

995.3318

1.0010e+03

1.3678e+03

1.3706e+03

1.0466e+03

1.0523e+03

1.2712e+03

1.2768e+03

\(50\%\)

977.2639

982.9365

1.3621e+03

1.3649e+03

1.0309e+03

1.0366e+03

1.2577e+03

1.2634e+03

\(M' \mid s=5\)

AIC

BIC

AIC

BIC

AIC

BIC

AIC

BIC

\(30\%\)

1.0632e+03

1.0688e+03

1.2149e+03

1.2177e+03

1.1092e+03

1.1149e+03

1.1487e+03

1.1544e+03

\(40\%\)

907.9526

913.6251

1.0962e+03

1.0991e+03

972.3222

977.9948

1.1255e+03

1.0312e+03

\(50\%\)

736.9171

742.5897

964.0400

966.8763

825.9198

831.5924

896.9408

902.6134

\(M' \mid s=50\)

AIC

BIC

AIC

BIC

AIC

BIC

AIC

BIC

\(30\%\)

966.2662

971.9387

1.0456e+03

1.0485e+03

1.0023e+03

1.0079e+03

1.0194+03

1.0251e+03

\(40\%\)

888.8694

894.5419

974.2439

977.0802

931.9785

937.6511

951.6929

957.3654

\(50\%\)

763.3344

769.0069

818.7865

821.6228

804.0412

809.7137

814.9187

820.5912

\(M' \mid s=100\)

AIC

BIC

AIC

BIC

AIC

BIC

AIC

BIC

\(30\%\)

1.0526e+03

1.0583e+03

1.1999e+03

1.2028e+03

1.0952e+03

1.1008e+03

1.1468e+03

1.1525e+03

\(40\%\)

946.6623

952.3348

1.1337e+03

1.1365e+03

1.0009e+03

1.0066e+03

1.0645e+03

1.0702e+03

\(50\%\)

864.3296

870.0021

1.0934e+03

1.0963e+03

928.3033

933.9758

1.0019e+03

1.0076e+03

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