波动率对平均MIDAS模型中混合频率GARCH的确定性影响:来自土耳其的证据

Fehmi Özsoy, N. Dogan
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引用次数: 0

摘要

波动率是理解经济变量之间对偶关系的关键概念,因为它与经济的稳定性成反比。许多模型,如GARCH模型,已经随着时间的推移而构建,以了解哪些决定因素和条件会影响波动性。这些模型大多以随机的方式显示了低频宏观经济活动与高频金融变量产生的波动之间的显著关系。但需要检验波动率对高频经济变量是否存在确定性效应。为了揭示这些确定性效应,我们开发了一个新的组件智能模型,即GARCH-M MIDAS模型。我们在股票价格和汇率上建立了这个模型,其中长期波动是由消费者价格指数和工业生产指数单独驱动的。因此,我们的实证分析支持这两种类型的波动性对高频金融变量的资产定价具有统计学上显著的确定性影响。我们还发现,宏观经济活动对长期资产定价具有重要作用。
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Deterministic Effects of Volatility on Mixed Frequency GARCH in Means MIDAS Model: Evidence from Turkey
Volatility is a key concept for understanding the dual relationships between the economic variables since it is inversely related to the stability of economies. Many models such as GARCH models have been constructed through time to understand which determinants and conditions can affect the volatility. These models mostly show the significant relationships between the volatilities generated by the low frequency macroeconomic activities and the high frequency financial variables in a stochastic way. However, it is required to check whether there exist deterministic effects of volatilities on high frequency economic variables. In order to reveal these deterministic effects, we developed a new component-wise model, namely GARCH-M MIDAS model. We formulate this model on stock prices and exchange rates, in which long run volatility is driven by consumer price and industrial production indexes in a separate way. Hence, our empirical analysis supports that both types of the volatilities have statistically significant deterministic effects on the asset pricing of high frequency financial variables. We also find that macroeconomic activities have a significant role on the asset pricing in long horizons.
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审稿时长
15 weeks
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