法国科技行业股利政策与股价波动之间的关系

Michel Martin
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摘要

目的:本研究旨在探讨法国科技行业股利政策与股价波动之间的关系。研究方法:本研究采用案头研究法。案头研究设计通常被称为二手数据收集。这基本上是从现有资源中收集数据,因为与实地研究相比,它具有成本低的优势。我们目前的研究调查了已经出版的研究和报告,因为这些数据很容易通过在线期刊和图书馆获取。研究结果 法国科技行业股利政策与股价波动之间的关系表明,高股利支付最初可能会吸引寻求收益的投资者,但也会增加股价波动。这种波动往往源于市场对股息公告的反应,以及投资者对公司财务健康状况和增长前景的情绪变化。有效管理股利政策对于科技公司平衡投资者预期与战略增长计划,同时降低市场风险至关重要。对理论、实践和政策的独特贡献:代理理论、信号理论和市场时机理论可用于今后对法国科技行业股利政策与股价波动之间关系的研究。制定股利政策,平衡创新资本再投资需求与股东对收入稳定性的期望。调整监管框架,以适应科技行业的独特动态,包括其快速增长和创新周期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationship between Dividend Policy and Stock Price Volatility in the Tech Industry in France
Purpose: The aim of the study was to investigate the relationship between dividend policy and stock price volatility in the tech industry in France. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings:  The relationship between dividend policy and stock price volatility in France's tech industry reveals that high dividend payouts may initially attract investors seeking income but can also increase stock price volatility. This volatility often arises from market reactions to dividend announcements and shifts in investor sentiment about company financial health and growth prospects. Effective management of dividend policies is crucial for tech firms to balance investor expectations with strategic growth initiatives while mitigating market risks. Unique Contribution to Theory, Practice and Policy: Agency theory, signaling theory & market timing theory may be used to anchor future studies on the relationship between dividend policy and stock price volatility in the tech industry in France. Developing dividend policies that balance the need for capital reinvestment in innovation with shareholder expectations for income stability. Tailoring regulatory frameworks to accommodate the unique dynamics of the tech industry, including its rapid growth and innovation cycles.
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