Research Article
Research on RMB Exchange Rate Volatility Risk Based on MSGARCH-VaR Model
Table 2
DIC results of different MSGARCH models.
| | RUSD | RJPY | RHKD |
| Single regime | GARCH-N | −2362.29 | 3666.25 | −2362.95 | GARCH-t | −3269.09 | 3335.50 | −3236.02 | GARCH-SKT | −3298.95 | 3336.26 | −3255.59 | GJR-GARCH-N | −2361.38 | 3670.49 | −2360.96 | GJR-GARCH-t | −3287.85 | 3337.97 | −3236.86 | GJR-GARCH-SKT | −3285.44 | 3342.61 | −3253.50 |
| Two regimes | GARCH-N | −3245.84 | 3373.09 | −3016.40 | GARCH-t | −3378.92 | 3332.42 | −3364.52 | GARCH-SKT | −3361.55 | 3327.7 | −3352.81 | GJR-GARCH-N | −3283.83 | 3380.58 | −3198.67 | GJR-GARCH-t | −3325.49 | 3335.59 | −3325.84 | GJR-GARCH-SKT | −3335.64 | 3351.08 | −3352.69 |
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Note. N, S, and SKT represent the Normal distribution, Student-t distribution, and skewed Student-t distribution, respectively.
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