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Exchange rate exposure: Evidence from China

Guangzhong Li, Ziyue Wang and Yu Zhao

Review of International Economics, 2019, vol. 27, issue 4, 1148-1171

Abstract: This paper examines exchange rate exposure using a sample of Chinese firms. To measure RMB exchange rate volatility and jump risk, we apply the autoregressive conditional jump intensity (ARJI) model to the industry‐specific nominal effective exchange rate (I‐NEER) for 13 Chinese manufacturing industries over the period 2001 to 2017, We find that exchange rate risks do affect firm value at the industry level, and the effect is more significant for the jump risks that are more difficult to hedge and in the sample period when hedge activities are less likely to occur. Our results suggest that the exposure puzzle could be a result of the endogeneity of operative and financial hedging. Firm‐level analysis finds that exchange rate risk affects firm value for more than 20% of Chinese firms, and a firm's exchange rate exposure varies with the firm's characteristics.

Date: 2019
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https://doi.org/10.1111/roie.12411

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