EconPapers    
Economics at your fingertips  
 

Fat-tailed Distributions, Value at Risk and the Japanese Stock Market Returns

Kengo Kayaba, Yohei Sato, Junji Sawada and Naoki Ueda

International Journal of Academic Research in Business and Social Sciences, 2017, vol. 7, issue 11, 433-440

Abstract: 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.

Keywords: Financial Risk; Goodness of Fit; Value at Risk (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hrmars.com/hrmars_papers/Fat-tailed_Distrib ... k_Market_Returns.pdf (application/pdf)
http://hrmars.com/hrmars_papers/Fat-tailed_Distrib ... k_Market_Returns.pdf (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hur:ijarbs:v:7:y:2017:i:11:p:433-440

Access Statistics for this article

More articles in International Journal of Academic Research in Business and Social Sciences from Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences
Bibliographic data for series maintained by Hassan Danial Aslam ().

 
Page updated 2025-03-19
Handle: RePEc:hur:ijarbs:v:7:y:2017:i:11:p:433-440