2020
DOI: 10.1002/ijfe.1841
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Nowcasting the Greek (semi‐) deposit run: Hidden uncertainty about the future currency in a Google search

Abstract: We investigate whether Greek depositors' uncertainty about the future currency contains information for the observed acute depletion of deposits in the Greek banking system. We conduct a Nowcasting exercise using the Google search intensity for the term «Drachma» and document that higher search intensity leads to higher Total deposits outflows, which are primarily driven by outflows in Time deposits. We also find that the Google search intensity for the term «Drachma» exerts an asymmetric impact across One‐Day… Show more

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Cited by 9 publications
(9 citation statements)
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“…Two more closely related studies are those of Anastasiou and Drakos (2020) and Anastasiou and Drakos (2021). Specifically, Anastasiou and Drakos (2020) supported that higher Google search intensity for the term «Drachma» intensifies depositors' negative sentiment on the potential of currency risk, leading to higher total deposit outflows in Greece. Higher uncertainty in depositors' beliefs induces a “flight‐to‐safety” behavior.…”
Section: Review Of the Literaturementioning
confidence: 95%
See 3 more Smart Citations
“…Two more closely related studies are those of Anastasiou and Drakos (2020) and Anastasiou and Drakos (2021). Specifically, Anastasiou and Drakos (2020) supported that higher Google search intensity for the term «Drachma» intensifies depositors' negative sentiment on the potential of currency risk, leading to higher total deposit outflows in Greece. Higher uncertainty in depositors' beliefs induces a “flight‐to‐safety” behavior.…”
Section: Review Of the Literaturementioning
confidence: 95%
“…We express all control variables in percentage changes. The choice of these macro‐controls mirrors both the data availability and the background theory (Anastasiou & Drakos, 2020; Finger & Hesse, 2009; Martinez‐Peria & Schmukler, 2001; Nys et al., 2015; Petropoulos et al., 2018). Table 3 provides a brief definition for each variable, its expected sign, and the source from which we obtain the data.…”
Section: Data and Variablesmentioning
confidence: 99%
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“…2 In particular, we first estimate a robust linear regression model (Model 1) in which we include the one month lag of the PC variable 3 , controlling for both autocorrelation and seasonality patterns via autoregressive (AR) and moving average (MA) terms and for some additional control variables which we believe that they also have an impact on bank deposit flows. 4 Following among others Anastasiou and Drakos (2021b), the variables that we also consider as controls are defined as follows:…”
Section: Data Variables and Methodologymentioning
confidence: 99%