Research Article
Measuring and Forecasting Volatility in Chinese Stock Market Using HAR-CJ-M Model
Table 6
In-sample forecast statistics.
| ā | ā | MAE | MAPE | RMSE | HRMSE | Theil coefficient |
| | HAR-CJ-M | 0.4352 | 1.6175 | 0.5641 | 0.6006 | 0.2228 | HAR-ARV | 0.4674 | 1.9335 | 0.6083 | 0.6856 | 0.2425 | HAR-CJ | 0.4530 | 1.5980 | 0.5913 | 0.6731 | 0.2346 | | HAR-CJ-M | 0.4437 | 4.3431 | 0.4037 | 0.4984 | 0.1469 | HAR-ARV | 0.6015 | 5.3230 | 0.4518 | 0.9004 | 0.1660 | HAR-CJ | 0.5514 | 4.4688 | 0.4368 | 0.7801 | 0.1609 | | HAR-CJ-M | 0.5700 | 4.7136 | 0.7002 | 0.5000 | 0.2579 | HAR-ARV | 0.6514 | 6.5020 | 0.7896 | 0.5266 | 0.2897 | HAR-CJ | 0.6174 | 5.9764 | 0.7466 | 0.5152 | 0.2742 |
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