The evolving financial landscape: analyzing uncertainty, risks, and growth in G7 economies of the 21st century

Atdhetar Gara, Vesa Qehaja-Keka, Arber Hoti, Driton Qehaja
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Abstract

This study provides a comprehensive analysis of the financial markets in the 21'st century; focusing on the G7 countries: Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States. The justification for this research originates from the significant role these markets plays in the global economy and the need to understand their complexities in relation to risk, uncertainty, and economic growth. The primary objective is to empiricaly investigate the dynamics and correlations of these aspects within the financial markets of the countries selected in this study. The study is based on secondary data spanning 12 years, from 2010 to 2021, covering all 7 countries, and making it a panel data analysis. Methodologically, the research employs various econometric models and techniques, including Ordinary Least Squares, OLS Robust, and fixed and random effects models. The empirical results suggest that the fixed effects model is the most suitable for this study, as confirmed by the Hausman test. According to this model, a 1% increase in stock market capitalization relative to GDP positively impacts GDP growth by 0.06. Furthermore, stock market value trades were found to have a positive correlation with economic growth. In contrast, stock price volatility and pension fund assets negatively impact economic growth. Notably, these findings diverge from some previous studies in the field. In conclusion, the research provides valuable insights into the relationship between financial markets and economic indicators in the G7 countries, thereby offering policy-makers a more nuanced understanding of how to foster economic growth while mitigating risks.
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不断演变的金融格局:分析 21 世纪七国集团经济体的不确定性、风险和增长
本研究报告对 21 世纪的金融市场进行了全面分析,重点关注 G7 国家:加拿大、法国、德国、意大利、日本、英国和美国。开展这项研究的理由是,这些市场在全球经济中发挥着重要作用,需要了解它们与风险、不确定性和经济增长之间的复杂关系。本研究的主要目的是对所选国家金融市场中这些方面的动态和相关性进行实证调查。本研究基于从 2010 年到 2021 年 12 年的二手数据,涵盖所有 7 个国家,是一项面板数据分析。在方法上,研究采用了多种计量经济学模型和技术,包括普通最小二乘法、OLS Robust、固定效应和随机效应模型。实证结果表明,固定效应模型最适合本研究,这一点已被豪斯曼检验所证实。根据该模型,股票市值相对于 GDP 每增加 1%,会对 GDP 增长产生 0.06 的正向影响。此外,研究还发现股票市场价值交易与经济增长呈正相关。相比之下,股票价格波动和养老基金资产对经济增长产生负面影响。值得注意的是,这些发现与该领域以往的一些研究有所不同。总之,这项研究为了解 G7 国家金融市场与经济指标之间的关系提供了宝贵的见解,从而使政策制定者对如何在促进经济增长的同时降低风险有了更细致的了解。
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