We construct a novel database of monthly foreign exchange interventions for 49 countries over up to 22 years. We build on a text classification approach that extracts information about interventions from news articles and calibrate our procedure to data about actual interventions. Our new...

We construct a novel database of monthly foreign exchange interventions for 49 countries over up to 22 years. We build on a text classification approach that extracts information about interventions from news articles and calibrate our procedure to data about actual interventions. Our new...

Evidence on the effectiveness of FX interventions is either limited to short horizons or hampered by debatable identification. We address these limitations by identifying a structural vector autoregressive model for the daily frequency with an external instrument. Applying this approach to the...

Evidence on the effectiveness of FX interventions is either limited to short horizons or hampered by debatable identification. We address these limitations by identifying a structural vector autoregressive model for the daily frequency with an external instrument. Generally, we find, for freely...

Evidence on the effectiveness of FX interventions is either limited to short horizons or hampered by debatable identification. We address these limitations by identifying a structural vector autoregressive model for the daily frequency with an external instrument. Generally, we find, for freely...

Evidence on the effectiveness of FX interventions is either limited to short horizons or hampered by debatable identification. We address these limitations by identifying a structural vector autoregressive model for the daily frequency with an external instrument. Generally, we find, for freely...

Evidence on the effectiveness of FX interventions in the prevailing higher frequency approaches leaves a gap at horizons going beyond a few days. This is addressed by identifying a structural vector autoregressive model for the daily frequency with an external instrument. Using Japanese data, we...

How is it possible that exchange rates move in the long run towards fundamentals, while professionals form consistently irrational exchange rate expectations? We look at this puzzle from a different perspective by analyzing investor sentiment in the US-dollar market. First, long-horizon...

Early warning systems (EWSs) are subject to restrictions that apply to exchangerates in general: fundamentals matter but their influence is small and unstable. Despitethis limitation four major lessons emerge: First, EWSs have robust forecastingpower and thus help policy-makers to prevent...