Causal effect of monetary policy measured by exchange rate responses to central bank announcements
Recent research on the causal effects of monetary policy measures how financial market prices react to monetary policy announcements. If no other important information is released in narrow windows of time around the announcement, it is assumed that only the monetary policy news associated with the announcement is responsible for any observed price changes. A significant increase in money market interest rates immediately after a monetary policy announcement, say, would be a measure of an independent monetary policy impulse that is frequently used in the literature (Rüth, 2020).
However, looking at money market rates alone could underestimate the importance of monetary policy to exchange rates for a number of reasons. First, monetary policy implementation has changed over time. Many central banks have taken unconventional monetary policy measures since the global financial crisis of 2008. Because these often take effect through changes in longer-term yields, these responses would not be captured by changes in money market interest rates. A second reason relates to transmission channels. Central banks have been shown to have a significant influence on financial markets beyond their effect on interest rates – irrespective of whether short-term or long-term – for example through the willingness of financial market participants to take risks (Kroencke et al., 2021). And third, previous analyses are generally confined to an examination of changes in just one central bank’s monetary policy. However, as the exchange rate is the relative price between two currencies, what should matter is changes in the relative monetary policy stance, such that both policies should be modelled at the same time.
Given the above reasons, the study presented here uses the immediate response of the exchange rate to announcements by the two central banks involved as a measure of a relative monetary policy impulse. In other words, it uses changes in the euro/US dollar exchange rate in response to announcements by the Fed and the Eurosystem, for example. This approach ensures that all changes in monetary policy related to the exchange rate are fully captured. In line with the more recent literature, this measure is then used as an instrumental variable in a structural vector autoregressive (VAR) model (Stock & Watson, 2018). This means the analysis can be extended over time: instead of confining it to the narrow windows of time around central bank announcements, the effect of monetary policy impulses (“shocks”) can be calculated over weeks and months and their significance quantified.