当前位置: X-MOL 学术Journal of Economic Studies › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The excessive gaming and gambling during COVID-19
Journal of Economic Studies Pub Date : 2021-07-09 , DOI: 10.1108/jes-02-2021-0093
Theodoros Daglis 1
Affiliation  

Purpose

By combining econometrics and multifractal methods, utilizing a financial framework, this paper will examine with objectivity the economic, financial and social impact of coronavirus disease 2019 (COVID-19) on society.

Design/methodology/approach

Through Granger causality, the authors test the effect of the COVID-19 pandemic on excessive gaming and gambling activities, and through econometrics and multifractal methods, they combine the results to analyze a possible long-run relationship.

Findings

The COVID-19 confirmed cases Granger cause all examined stocks. Based on the co-integration technique, and the multifractal cross-correlation analysis, a long-run relationship exists between all examined stocks and COVID-19.

Originality/value

This is an empirical examination of a very important subject in the field of economics, namely, the consequences of the COVID-19-related events on the behavior of global citizens. It proposes a different and more objective approach (than the interviews and questionnaires) in the examination of this specific subject, through a financial framework, depicting the stock performance of the gaming and online gambling-related companies, and reflecting on the activity of these companies. It combines two different approaches from two different disciplines, namely econometrics and multifractal analysis, to test and describe the causal and the long-run relationship between the phenomena examined, combining the results to an overall and multidimensional view of this occurrence.



中文翻译:

COVID-19 期间的过度游戏和赌博

目的

通过结合计量经济学和多重分形方法,利用金融框架,本文将客观地研究 2019 年冠状病毒病 (COVID-19) 对社会的经济、金融和社会影响。

设计/方法/方法

通过格兰杰因果关系,作者测试了 COVID-19 大流行对过度游戏和赌博活动的影响,并通过计量经济学和多重分形方法,将结果结合起来分析了可能的长期关系。

发现

COVID-19 确诊病例格兰杰导致所有检查的库存。基于协整技术和多重分形互相关分析,所有检查的股票与 COVID-19 之间存在长期关系。

原创性/价值

这是对经济学领域一个非常重要的主题的实证研究,即 COVID-19 相关事件对全球公民行为的影响。它提出了一种不同且更客观的方法(比访谈和问卷调查),通过财务框架,描述游戏和在线赌博相关公司的股票表现,并反映这些公司的活动,以检查这一特定主题. 它结合了来自两个不同学科的两种不同方法,即计量经济学和多重分形分析,以测试和描述所研究现象之间的因果关系和长期关系,将结果结合到这一事件的整体和多维视​​图中。

更新日期:2021-07-09
down
wechat
bug