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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