Skip to main content

Table 8 The predicting accuracy of MVL-SVM models based on one-day news and market data or daily return

From: A hybrid model for stock price prediction based on multi-view heterogeneous data

Code

MVL-SVMMD

MVL-SVMDR

Code

MVL-SVMMD

MVL-SVMDR

600000

0.9041

0.9178

600837

0.7534

0.9178

600009

0.7808

0.7397

600887

0.8356

0.7945

600016

0.9041

0.9589

601012

0.7945

0.8630

600028

0.8904

0.9315

601088

0.9452

0.8219

600030

0.9583

0.9306

601166

0.8767

0.9315

600031

0.8630

0.8356

601186

0.9041

0.8904

600036

0.9452

0.9178

601211

0.8630

0.9178

600048

0.8219

0.8493

601288

0.8630

0.8767

600050

0.9315

0.9589

601318

0.9452

0.9315

600104

0.8767

0.8904

601336

0.8630

0.8904

600196

0.8630

0.8630

601398

0.9452

0.9315

600276

0.9041

0.8904

601601

0.8904

0.9041

600309

0.7937

0.7937

601628

0.9178

0.9452

600519

0.9315

0.9178

601668

0.8767

0.8493

600547

0.8630

0.8493

601688

0.9178

0.9041

600570

0.8904

0.8219

601818

0.8219

0.8082

600585

0.7945

0.8904

601857

0.9178

0.9589

600588

0.8219

0.8493

603288

0.7534

0.7671

600703

0.9178

0.8082

  Â