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. 2022 Jan 11;60:101613. doi: 10.1016/j.ribaf.2022.101613

Table A.13.

The effect of Euro area action announcements on the volatility in other countries.

Const. RVD RVW RVM Act.t+1 Act.t Act.t1 EU Act.t1 R2
Panel A: Europe
CH-SSMI 0.801c 0.436d 0.286d 0.094 0.122d 0.265d 0.048d 0.026 0.495
GB-FTSE 1.441d 0.248d 0.329d 0.137 0.011 0.004 0.015 0.039b 0.272
Panel B: America
BR-BVSP 0.554a 0.437d 0.246c 0.208c 0.013 0.004 0.014 0.039a 0.526
CA-GSPTSE 1.082d 0.423d 0.189b 0.119 0.007 0.018 0.043c 0.044 0.370
MX-MXX 1.142b 0.071 0.427d 0.269a 0.039 0.051 0.041d 0.025 0.201
US-DJI 1.047c 0.371d 0.269c 0.135 0.011 0.026 0.017 0.034 0.358
US-IXIC 1.324d 0.336d 0.367d 0.032 0.007 0.023 0.007 0.064c 0.376
US-RUT 1.487d 0.365d 0.305c 0.041 0.008 0.041 0.023 0.022 0.319
US-SPX 1.024c 0.416d 0.293d 0.060 0.014 0.039 0.005 0.050b 0.428
Panel C: Asia and Australia
CN-SSEC 1.314d 0.309d 0.260b 0.166 0.087 0.088b 0.061 0.028 0.281
HK-HSI 0.881c 0.336d 0.352d 0.139 0.003 0.032a 0.012 0.009 0.380
IN-BSESN 0.715b 0.300d 0.221 0.326b 0.014 0.012 0.027 0.008 0.321
IN-NSEI 0.715b 0.358d 0.162 0.325c 0.018 0.020 0.026 0.008 0.340
JP-N225 1.477d 0.276d 0.295c 0.109 0.097d 0.057 0.041 0.003 0.233
KR-KS11 0.647a 0.226d 0.472d 0.170 0.118d 0.054a 0.101d 0.040b 0.441
SG-STI 1.065d 0.174c 0.437d 0.143 0.043 0.029d 0.014 0.012 0.327
AU-AORD 1.853d 0.246d 0.202a 0.127 0.070c 0.017 0.034 0.097c 0.239

Note: a, b, c, d in superscript denote significance at the 15%, 10%, 5%, and 1%, levels, respectively. The values in bold show all statistically significant coefficients at the 15% level. Const. represents a constant. RVD is realized volatility from the previous day, RVW and RVM is the average realized volatility from the previous week (5 days) and month (2 days) respectively. Actt+1, Actt, Actt1 are dummy variables multiplied by (RVtD). It represents action that were performed after, during, or before each day, respectively. EU Act.t1 represents the actions from the EU from the previous day, also multiplied by (RVtD). R2 represents R-squared. The models are estimated using ordinary least squares (OLS) and the standard errors are obtained via heteroskedasticity- and autocorrelation-consistent (HAC) estimator (Newey and West, 1994). List of countries and stock indices is presented in Table 1.