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Understanding bilateral exchange rate risks

机译:了解双边汇率风险

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We apply the autoregressive conditional jump intensity (ARJI) model to weekly bilateral exchange rate returns of 31 countries and examine the determinants of bilateral exchange rate risks over the period 2001-2013. Consistent with the balance sheet effects in the open economy literature, we find that bilateral exchange rate risks are significantly reduced by external financial liabilities, above and beyond the standard optimal currency area (OCA) factors, and the development of domestic financial sectors will attenuate this effect. Subsample analysis reveals that developed countries also face credit constraints in the global capital market and the negative effects of external liabilities on bilateral exchange rate risks are increasingly pronounced in countries facing more credit constraints. (C) 2016 Elsevier Ltd. All rights reserved.
机译:我们将自回归条件跳变强度(ARJI)模型应用于31个国家/地区的每周双边汇率收益,并研究了2001-2013年期间双边汇率风险的决定因素。与开放经济文献中的资产负债表效应相一致,我们发现,超出标准最佳货币区域(OCA)因素之外,外部金融负债显着降低了双边汇率风险,而国内金融部门的发展将减弱这一风险。影响。次级抽样分析表明,发达国家在全球资本市场中也面临信贷约束,而在面临更多信贷约束的国家中,外部负债对双边汇率风险的负面影响越来越明显。 (C)2016 Elsevier Ltd.保留所有权利。

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