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Table 9 Out-of-sample prediction (MSFE-adj.)

From: Pattern and determinants of tail-risk transmission between cryptocurrency markets: new evidence from recent crisis episodes

Forecast

Predictor

FGCI

ADS

GPR

EPU

TEU

Panel A: tail risk (CAViaR) at 1%

Forecast

     

h = 10

0.1971***

0.8889***

0.1621***

0.6289***

0.2760***

[8.8853)

[5.7752]

[4.1803]

[6.9505]

[8.7620]

h = 20

0.2148***

0.8841***

0.1685***

0.6854***

0.2600***

[9.1126]

[5.7325]

[4.0396]

[6.9834]

[8.6931]

h = 30

0.2088***

0.8709***

0.1652***

0.6541

0. 5216***

[8.9583]

[5.6825]

[4.0873]

[6.5655]

[8.5269]

Panel B: tail risk (CAViaR) at 5%

Forecast

     

h = 10

0.2143***

0.8969***

0.1325***

0.6313***

0.2319***

[6.0440]

[6.0440]

[7.1294]

[7.2365]

[6.1240]

h = 20

0.2334***

0.8910***

0.1345***

0.6372***

0.2450***

[6.0101]

[6.3490]

[7.2534]

[7.2710]

[6.5466]

h = 30

0.2258***

0.8752***

0.1220***

0.6313***

0.2347***

[5.9808]

[5.0911]

[7.4911]

[7.3861]

[6.6054]

  1. The table presents the Clark and West (2007) mean square forecast error (MSFE)-adjusted statistic comparing the out-of-sample predictions. The in-sample period is taken between 11/10/2017 and 5/30/2021, while the rest is considered as an out-of-sample evaluation forecast period. The results are reported for the forecast horizons ∈ {10, 20, 30}. The null hypothesis of the Clark and West (2007) test is that the model has no predictability; the model containing information on investor sentiment/economic condition does not improve the predictions. Values reported in square brackets are the t-statistics. According to Clark and West (2007), if the t-statistic is larger than + 1.282 (for a one-sided 0.10 test) or + 1.645 (for a one-sided 0.05 test), then the null hypothesis should be rejected. The asymptotic critical values; *** denotes statistic significant at the 1% level (see Clark & West, 2007)