Uso del Modelo Autorregresivo de Duración Condicional para predecir la caída del dólar en el mercado cambiario colombiano

Q4 Economics, Econometrics and Finance
Hector Fabio Gallego Escudero
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引用次数: 0

Abstract

The fundamental objective of the Autoregressive Conditional Duration (acd) model is the modeling of time series with non-equidistant periods. Given the leptokurtic nature of trm returns and the durations behavior associated with them, a Rayleigh Distribution with transmutation is used, which allows approaching in an adjusted form to a heavy tail distribution, coherent with this stylized fact in returns. It is concluded that the time elapsed between dollar falls, on average, is between 3 and 6 days.
使用条件持续时间自回归模型预测哥伦比亚外汇市场美元下跌
自回归条件持续时间(acd)模型的基本目标是对具有非等距周期的时间序列进行建模。考虑到收益的细峰性质以及与之相关的持续时间行为,我们使用了带有突变的瑞利分布,它允许以调整后的形式接近重尾分布,与收益中的这种程式化事实相一致。得出的结论是,美元下跌之间的间隔时间平均在3至6天之间。
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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来源期刊
Revista de Economia del Rosario
Revista de Economia del Rosario Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
0.60
自引率
0.00%
发文量
3
审稿时长
12 weeks
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