衡量非常规政策对股市波动的影响

Demetrio Lacava, G. Gallo, E. Otranto
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引用次数: 4

摘要

作为对大衰退(Great Recession)的回应,许多央行采取了非常规货币政策,其形式是扩大资产负债表。我们的研究旨在在乘法误差模型框架内分析欧洲央行政策对四个欧元区国家(法国、德国、意大利和西班牙)股市波动的影响。我们提出了一个模型,该模型允许我们通过区分公告和实施效果来量化直接依赖于非常规政策的市场波动部分。虽然我们观察到公告日的波动性增加,但我们发现了负面的实施效应,这导致波动性在长期内显著降低。模型置信集方法发现政策公告后代理的预测能力显著提高;提前多步预测可以估计影响的持续时间,通过冲击政策变量,我们能够量化波动性的降低,这在债务缠身的国家更为明显。
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Measuring the Effects of Unconventional Policies on Stock Market Volatility
As a response to the Great Recession, many central banks resorted to unconventional monetary policies, in the form of a balance sheet expansion. Our research aims at analyzing the impact of the ECB policies on stock market volatility in four Eurozone countries (France, Germany, Italy and Spain) within the Multiplicative Error Model framework. We propose a model which allows us to quantify the part of market volatility depending directly on unconventional policies by distinguishing between the announcement the implementation effects. While we observe an increase in volatility on announcement days, we find a negative implementation effect, which causes a remarkable reduction in volatility in the long term. A Model Confidence Set approach finds how the forecasting power of the proxy improves significantly after the policy announcement; a multi–step ahead forecasting exercise estimates the duration of the effect, and, by shocking the policy variable, we are able to quantify the reduction in volatility which is more marked for debt–troubled countries.
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