Quantifying Downside Risk in Euro Area Stock Markets: A Value at Risk Study

Younis Ahmed Ghulam, B. Joo
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Abstract

The present research paper aims to assess and quantify the downside risk of Euro Area stock markets using the Value at Risk (VaR) methodology over a substantial time frame spanning 26 years. The study employs daily closing price data from the main stock exchanges of Euro Area nations. Using the historical simulation method, VaR estimates are calculated for each country's stock index, providing valuable insights into market performance and risk levels during both normal and crisis periods. The non-parametric nature of the historical simulation approach is favored due to its flexibility in dealing with non-normal distribution data, making it suitable for this analysis. The findings reveal significant variations in downside risk among Euro Area countries. Certain nations consistently exhibit lower VaR estimates, indicating comparatively lower downside volatility and potential losses. These markets may prove attractive to risk-averse investors seeking stability during adverse market conditions. In contrast, some countries consistently demonstrate higher VaR estimates, signaling heightened downside risk, which may offer higher potential returns but may not align with risk-averse investors' preferences. During periods of crisis, certain Euro Area markets display a lower level of downside volatility, showcasing their resilience during turbulent times. This information can guide investors in constructing diversified portfolios that can withstand adverse market conditions. Additionally, policymakers can draw upon these findings to formulate targeted monetary policies to support financial markets during economic uncertainty. Overall, this study contributes valuable insights into downside risk and market performance in Euro Area stock markets, providing investors, policymakers, and financial participants with essential information to make informed decisions and navigate the complexities of global financial markets effectively.  
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量化欧元区股票市场的下行风险:风险价值研究
本研究论文旨在评估和量化欧元区股票市场的下行风险,使用风险价值(VaR)方法,时间跨度为26年。该研究采用了欧元区国家主要股票交易所的每日收盘价数据。使用历史模拟方法,计算每个国家股票指数的VaR估计值,为正常和危机时期的市场表现和风险水平提供有价值的见解。历史模拟方法的非参数性质因其处理非正态分布数据的灵活性而受到青睐,使其适合此分析。调查结果显示,欧元区国家在下行风险方面存在显著差异。某些国家的VaR估值一直较低,这表明下行波动性和潜在损失相对较低。这些市场可能对在不利市场条件下寻求稳定的规避风险的投资者具有吸引力。相比之下,一些国家的VaR估值一直较高,这表明下行风险增加,这可能提供更高的潜在回报,但可能不符合规避风险的投资者的偏好。在危机期间,某些欧元区市场表现出较低的下行波动性,显示出它们在动荡时期的弹性。这些信息可以指导投资者构建多样化的投资组合,以抵御不利的市场条件。此外,政策制定者可以根据这些发现制定有针对性的货币政策,以在经济不确定时期支持金融市场。总体而言,本研究对欧元区股票市场的下行风险和市场表现提供了有价值的见解,为投资者、政策制定者和金融参与者提供了必要的信息,以做出明智的决策,并有效地驾驭全球金融市场的复杂性。
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发文量
22
审稿时长
12 weeks
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