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Political uncertainty and behavior of Tunisian stock market cycles: Structural unobserved components time series models

机译:突尼斯股票市场周期的政治不确定性和行为:结构性未观察成分时间序列模型

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This paper examines the impact of political uncertainty caused by the civil uprisings, (the Tunisian Revolution) on the behavior and characteristics of Tunisian stock market cycles over time varying. This paper aims to apply the methodology of univariate structural unobserved components time series models to extract cycle and trend components. Our analysis showed that political uncertainty seems to generate unstable financial markets and more pronounced stock market cycles. The shock of the Tunisian revolution is very intense but temporary, and leads to a deviation of the trend from its original path. Indeed, during the period following civil uprisings, the amplitude and volatility of Tunisian stock market cycles have increased dramatically. But in the long term, the amplitude and volatility of stock cycles are amortized to achieve low. Overall, the findings are important in understanding the role of political uncertainty on stock market stability and are of great significance to investors and market regulators.
机译:本文考察了内乱(突尼斯革命)引起的政治不确定性对突尼斯股票市场周期随时间变化的行为和特征的影响。本文旨在应用单变量结构非观测分量时间序列模型的方法来提取周期和趋势分量。我们的分析表明,政治不确定性似乎会导致金融市场不稳定和股票市场周期更加明显。突尼斯革命的冲击是非常强烈的,但是暂时的,并导致趋势偏离其原始路径。的确,在内乱之后的这段时期内,突尼斯股票市场周期的幅度和波动性急剧增加。但是从长远来看,股票周期的幅度和波动性将被摊销以达到较低水平。总体而言,这些发现对于理解政治不确定性对股票市场稳定的作用至关重要,对投资者和市场监管者也具有重要意义。

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