NOV. 13 2015 (The Conway Bulletin) — The whole post-Soviet region has faced a steep economic downturn over the past year, leading to regional trade imbalances that have travelled across borders.
Initially, the fall in the value of the Russian rouble hit the Kazakh tenge. Despite a 20% devaluation in Feb. 2014, the tenge’s peg to the US dollar made it increasingly expensive against the rouble. When the rouble started to lose double- digit value against the US dollar, the tenge held its US dollar trading point, making it increasingly expensive. For the first eight months of this year, cheap Russia goods flooded Kazakhstan.
Eventually, in August, the Kazakh Central Bank effectively ordered another devaluation by ditching a US dollar peg. The graph below illustrates this clearly. It shows the rouble/$1 rate and the rouble/tenge rate matching each other until August. The value of the rouble, according to the graph, halves against the US dollar and the tenge.
In August, though, there is a sharp correction in the trading rate of the rouble/tenge. It diverges, violently almost, with the rouble/$1rate. The graph shows that the tenge is still stronger than the rouble compared to June 2014, but the differential is reduced.
And this is where the ripple effect carried through to neighbouring Kyrgyzstan.
Thee blue line on the graph represents the rouble/som rate. It, broadly, matches the peaks and troughs of the rouble/$1 rate, suggesting an informal peg to the US dollar.
The Kyrgyz Central Bank, though, has clearly tried to devalue the som independently too, as the rouble/som rate diverges slightly from the rouble/$1 rate.
The yellow line shows the tenge/som rate, and clearly depicts the change in relative values of the two neighbours’ currencies. The som has been weaker against the tenge for most of the year, as shown by the fairly shallow but pronounced trough. This changes after the tenge devaluation in August.
A currency domino effect, although slower than analysts had predicted, is rippling through Central Asia. The rouble is an optimal benchmark to observe this phenomenon.
ENDS
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(News report from Issue No. 256, published on Nov. 13 2015)