首页    期刊浏览 2024年10月04日 星期五
登录注册

文章基本信息

  • 标题:Fat-tailed Distributions, Value at Risk and the Japanese Stock Market Returns
  • 本地全文:下载
  • 作者:Kengo Kayaba ; Yohei Sato ; Junji Sawada
  • 期刊名称:International Journal of Academic Research in Business and Social Sciences
  • 电子版ISSN:2222-6990
  • 出版年度:2017
  • 卷号:7
  • 期号:11
  • 页码:433-440
  • DOI:10.6007/IJARBSS/v7-i11/3479
  • 语种:English
  • 出版社:Human Resource Management Academic Research Society
  • 摘要:The Japanese economy has been the second largest economy over the world for a long time before the Chinese economy emerged. The Tokyo Stock Exchange (TSE) is the fourth largest stock exchange in the world by aggregate market capitalization of its listed companies and largest in East Asia and Asia. It is of great importance for those in charge of managing risk to understand how its market index returns are distributed. The goal of this paper is to examine how various types of heavy-tailed distribution perform in risk management of the N225 Index returns. We compared these heavy-tailed distributions through a variety of criteria. Our results indicate the generalized hyperbolic distribution has the best goodness of fit and generates most suitable risk measures.
国家哲学社会科学文献中心版权所有