Table 3 Forecasting improvement significance evaluated by bootstrap-based Diebold–Mariano (1995) statistic.

From: Eye in outer space: satellite imageries of container ports can predict world stock returns

 

h = 1

h = 2

h = 3

h = 4

h = 5

AEX

0.003***

0.028**

0.006***

0.001***

0.030**

ATG

0.035**

0.190

0.090*

0.184

0.154

ATX

0.035**

0.075*

0.051*

0.008***

0.072*

BFX

0.004***

0.002***

0.001***

0.000***

0.009***

FCHI

0.001***

0.021**

0.002***

0.000***

0.009***

FTMIB

0.062*

0.038**

0.014**

0.014**

0.067*

FTSE

0.020**

0.057*

0.003***

0.001***

0.008***

GDAXI

0.044**

0.073*

0.006***

0.008***

0.129

IBEX

0.084*

0.061*

0.040**

0.009***

0.060*

OMXSPI

0.012**

0.052*

0.006***

0.003***

0.035**

OSEAX

0.009***

0.368

0.043**

0.003***

0.178

PSI20

0.099*

0.121

0.022**

0.022**

0.101

RTS

0.033**

0.023**

0.009***

0.006***

0.024**

SSMI

0.053*

0.024**

0.010***

0.021**

0.157

XU100

0.191

0.033**

0.008***

0.002***

0.003***

WIG30

0.066*

0.103

0.005***

0.004***

0.007***

SSEC

0.014**

0.037**

0.067*

0.049**

0.041**

BSESN

0.142

0.049**

0.443

0.066*

0.015**

CSI300

0.005***

0.047**

0.114

0.068*

0.045**

HSI

0.001***

0.144

0.014**

0.002***

0.003***

KLSE

0.051*

0.122

0.120

0.007***

0.007***

KS11

0.136

0.252

0.147

0.006***

0.103

N225

0.041**

0.066*

0.073*

0.088*

0.257

STI

0.117

0.004***

0.010**

0.001***

0.000***

TASI

0.041**

0.023**

0.038**

0.058*

0.139

COLCAP

0.096*

0.001***

0.013**

0.001***

0.004***

DJI

0.000***

0.099*

0.015**

0.001***

0.001***

GSPC

0.000***

0.086*

0.037**

0.007***

0.021**

GSPTSE

0.056*

0.355

0.234

0.002***

0.006***

IXIC

0.003***

0.183

0.172

0.037**

0.095*

MXX

0.044**

0.235

0.139

0.025**

0.108

JTOPI

0.005***

0.071*

0.002***

0.000***

0.005***

AORD

0.017**

0.214

0.041**

0.004***

0.020**

Amount of significant DM statistics

29

22

26

32

24

  1. This table reports the p-value of the statistical significance of the satellite-based container model relative to the prevailing mean model using a bootstrap-based Diebold and Mariano (1995) statistic. We draw inferences by using a stationary bootstrap produce of Politis and Romano (1994) under the null hypothesis that the equity premium is unpredictable. The number of resamples is set as 2000 when bootstrapping, and the block length will be optimally estimated from the data use the selection procedure of Patton et al. (2009). The sample period covers from 2019:01 to 2021:11. The asterisks ***, **, and * indicate statistical significance at the 1%, 5%, and 10% levels, respectively. The last line reports the amount of cases significant at the 10% level.