To play the role of a unit of account, an international currency must be a currency widely used to invoice international trade. This paper investigates the determinants of the use of currencies in trade invoicing and evaluates the potential of the renminbi for the denomination of cross‐border transactions in the Asia‐Pacific region. In particular, we develop a simple model and establish the evidence showing that there is a convex relationship between the invoicing share of a currency and the economic size of its issuing country because of a coalescing effect and thick market externalities. We use the ratio of the foreign exchange (FX) turnover share of a currency to the global GDP share of its issuing country as a proxy for the size of thick market externalities, which we argue reflects capital account openness, financial development and exchange rate stability of the country. This ratio is very small for the renminbi compared with the ratios for established international currencies. Our quantitative analysis suggests that the renminbi can be a major invoicing currency in the region only if China sufficiently opens up its capital account and liberalises its financial sector. We also draw a parallel between the renminbi and the euro and forecast the invoicing share of the renminbi in the Asia‐Pacific region if the renminbi market attained the same degree of thickness as the euro.
This paper studies the role of central bank communication of its economic assessment in shaping inflation dynamics. Imperfect information about the central bank's assessmentor the basis for monetary policy decisions-could complicate the private sector's learning about its policy response function. We show how clear central bank communication, which facilitates agents' understanding of policy reasoning, could bring about less volatile inflation and interest rate dynamics, and afford the authorities with greater policy flexibility. We then estimate a simple monetary model to fit the Mexican economy, and use the suggested paramters to illustrate the model's quantitative implications in scenarios where the timing, nature and persistence of shocks are uncertain.
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