11
Therefore, following Adler and others (2020), we construct an alternative metric to
measure
the degree of exchange rate management:
𝜌𝜌
𝑡𝑡
=
𝜎𝜎
𝑡𝑡
𝑓𝑓𝑓𝑓𝑖𝑖
𝜎𝜎
𝑡𝑡
𝑒𝑒
+ 𝜎𝜎
𝑡𝑡
𝑓𝑓𝑓𝑓𝑖𝑖
where
σ
e
is the standard deviation of daily changes in the KGS/USD exchange rate during the
quarter and
σ
fxi
is the standard deviation of daily FX intervention/GDP ratio computed over
the same quarter. This index varies between 0 (floating exchange rate) and 1 (fixed
exchange
rate), with the continuum between the two extremes reflecting the
degree of exchange rate
management.
Figure 7 displays the dynamics of quarterly exchange rate management index. As shown in
the figure, the exchange rate management index was ranging between 0.1 and 0.2 until 2018
Q3 suggesting a relatively free-floating regime. Starting from end-2018 exchange rate
movements have stabilized markedly, pushing the exchange rate management index above
0.4. From 2020 Q1, exchange rate volatility has increased following
the COVID shock and
the exchange rate management index has declined to below 0.1.
The average value of exchange rate management index in the Kyrgyz Republic is estimated
at 0.22 for the whole sample. Comparing these estimates to
those reported by Adler and
others (2020), we find that the exchange rate management index
in the Kyrgyz Republic is
higher than the estimates for advanced economies (0.12-0.13), but
lower than the estimates
for emerging economies (0.40-0.42). This confirms that the level of exchange rate
management in the Kyrgyz Republic is relatively modest and consistent with
the announced
floating regime and transition to inflation targeting.
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