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Table 3 BDS test results

From: Recent innovation in benchmark rates (BMR): evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms

Dimension TLREF VIX GOLD MSCI_EM CDS XU100 USDTL CBRT_SEC EMISSION
2 0.2008
[0.000]
0.1785
[0.000]
0.1956
[0.000]
0.1880
[0.000]
0.1823
[0.000]
0.1845
[0.000]
0.2000
[0.000]
0.2053
[0.000]
0.2031
[0.000]
3 0.3415
[0.000]
0.3036
[0.000]
0.3330
[0.000]
0.3180
[0.000]
0.3079
[0.000]
0.3120
[0.000]
0.33991
[0.000]
0.3471
[0.000]
0.3451
[0.000]
4 0.4397
[0.000]
0.3878
[0.000]
0.4292
[0.000]
0.4072
[0.000]
0.3928
[0.000]
0.3993
[0.000]
0.4375
[0.000]
0.4452
[0.000]
0.4439
[0.000]
5 0.5081
[0.000]
0.4431
[0.000]
0.4958
[0.000]
0.4681
[0.000]
0.4493
[0.000]
0.4584
[0.000]
0.5054
[0.000]
0.5136
[0.000]
0.5124
[0.000]
6 0.5550
[0.000]
0.4787
[0.000]
0.5416
[0.000]
0.5093
[0.000]
0.4854
[0.000]
0.4981
[0.000]
0.5524
[0.000]
0.5612
[0.000]
0.55593
[0.000]
Observations 945 945 945 945 945 945 945 945 945
  1. The BDS test’s null hypothesis indicates that data in a time series is independently and identically distributed. The brackets show p values