European | |||
---|---|---|---|

Credit card data set | Twitter data set | ||

\(c_{p}\) | 0.249 | \(c_{t}\) | 0.119 |

\(\beta _{p1}\) | 0.762 | \(\beta _{t1}\) | 0.594 |

\(\beta _{p2}\) | 0.598 | \(\beta _{t2}\) | 0.541 |

\(\epsilon _{p}\) | 0.233 | \(\epsilon _{t}\) | 0.029 |

\(\alpha _{p}\) | 0.918 | \(\alpha _{t}\) | 0.582 |

Latin American | |||
---|---|---|---|

Credit card data set | Twitter data set | ||

\(c_{p}\) | 0.231 | \(c_{t}\) | 0.085 |

\(\beta _{p1}\) | 0.681 | \(\beta _{t1}\) | 0.493 |

\(\beta _{p2}\) | 0.824 | \(\beta _{t2}\) | 0.829 |

\(\epsilon _{p}\) | 1.026 | \(\epsilon _{t}\) | 0.298 |

\(\alpha _{p}\) | 1.058 | \(\alpha _{t}\) | 0.633 |

Northern American | |
---|---|

Twitter data set | |

\(c_{t}\) | 7.941 |

\(\beta _{t1}\) | 0.276 |

\(\beta _{t2}\) | 0.353 |

\(\epsilon _{t}\) | 0.330 |

\(\alpha _{t}\) | 0.837 |