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# Table 1 Descriptive statistics and variance decomposition: GVD and its components

From: What Goliaths and Davids among Swiss firms tell us about expected returns on Swiss asset markets

Panel A: Descriptive statistics | |||||
---|---|---|---|---|---|

Mean | Std Dev | Max | Min | Auto correlation | |

GVD | – 0.195 | 0.030 | 0.051 | – 0.156 | 0.880 |

GVD^{new} | – 0.173 | 0.027 | 0.035 | – 0.130 | 0.838 |

GVD^{old} | – 0.022 | 0.013 | 0.055 | – 0.045 | 0.906 |

Panel B: Variance decomposition | |||||

\(\frac {\mathrm {{var}(GVD^{old})}}{\mathrm {var(GVD)}}\) | \(\frac {\mathrm {var(GVD^{new})}}{\mathrm {var(GVD)}}\) | \(2\frac {\mathrm {cov(GVD^{old},GVD^{new})}}{\mathrm {var(GVD)}}\) | |||

Share explained | 0.205 | 0.828 | – 0.033 |