外汇市场的条件分位数依赖性如何随时间变化?基于卖出价的分析

Małgorzata Doman, R. Doman
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引用次数: 0

摘要

在本文中,我们表明,欧元/美元、澳元/美元、英镑/美元和新西兰元/美元汇率之间的联系强度的估计低于小分位数或高于大分位数,取决于一天中的时间,即计算每日收益的时间。我们认为,这是由于交易者在世界不同地区的活动,以及信息流的影响。我们使用按每天每小时计算的日收益。对买入价和卖出价分别进行分析。我们用双变量马尔可夫切换联结模型对条件依赖性进行了建模。然后,计算拟合条件copula的分位数相关概率。这些模型包括可以捕捉不同类型的不对称和尾部行为的copulas。我们的研究结果表明,应用的动态依赖度量显着变化,取决于一天中的时间。我们使用模型置信集方法获得的小分位数以下或大分位数以上的依赖强度排名在投资组合风险管理中是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Does the Conditional Quantile Dependence in the FOREX Market Change Depending on the Time of Day? Analysis Based on Ask and Bid Prices
In the paper, we show that estimates of the strength of linkages between the exchange rates EUR/USD, AUD/USD, GBP/USD, and NZD/USD below small or above large quantiles de-pend on the time of day, at which the daily returns are calculated. We argue that this is due to the activity of traders in different parts of the world, and the impact of the information flow. We use daily returns calculated for each hour of the day. The analysis is performed separately for bid and ask prices. We model the conditional dependence by means of bivari-ate Markov-switching copula models. Then, quantile dependence probabilities are calculated for the fitted conditional copulas. The models include copulas that can capture different types of asymmetry and tail behavior. Our results show that the applied dynamic dependence measures change significantly, depending on the hour of the day. The rankings of the strength of the dependence below small or above large quantiles, which we obtain using the model confidence set methodology, can be useful in portfolio risk management.
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