Quantile Regression Analysis of Exchange Rate Exposure in Cross-Country Sector Portfolios

Abs Gulati
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引用次数: 1

Abstract

This study empirically examines the robustness of impact of exchange rate exposure on cross-country sectors portfolios using the quantile regression approach. The parts of the return distribution in which the investors and risk managers are interested are at extreme outcomes in the tails, which go beyond the mean values. Therefore, quantile regression approach seems more appropriate. We analyzed bilateral (Swedish Kroner and Euro currencies) exchange-rate exposure and its impact on similar sectors across small, open and export-oriented economies of Sweden and Finland. These two countries represent an interesting case study as they have similar industrial structure, yet Sweden uses its Swedish Kroner, whereas Finland has joined the euro in 1999. The results from our analysis indicate that Finnish Sector portfolios have a greater impact of exchange rate movements with regards to the Swedish excess return portfolios and global market index return in the post-euro period. The estimated quantiles results in comparison to the least squares results are more robust, which are consistent with previous literature.
跨国行业投资组合中汇率风险的分位数回归分析
本研究运用分位数回归方法实证检验汇率敞口对跨国行业投资组合影响的稳健性。投资者和风险管理者感兴趣的收益分布部分是尾部的极端结果,超过平均值。因此,分位数回归方法似乎更合适。我们分析了双边(瑞典克朗和欧元)汇率风险及其对瑞典和芬兰小型、开放和出口导向型经济体类似部门的影响。这两个国家具有相似的产业结构,但瑞典使用瑞典克朗,而芬兰在1999年加入了欧元区,这是一个有趣的案例研究。我们的分析结果表明,芬兰部门投资组合对瑞典超额回报投资组合和后欧元时期全球市场指数回报的汇率变动有更大的影响。与最小二乘结果相比,估计的分位数结果更加稳健,这与先前的文献一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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