Downside Risk in Australian and Japanese Stock Markets: Evidence Based on the Expectile Regression

Author:

Marumo Kohei1,Li Steven2

Affiliation:

1. Faclty of Economics, Saitama University, 255 Shimo-Okubo, Sakura, Saitama 338-8570, Japan

2. Graduate School of Business and Law (GSBL), RMIT University Australia, Melbourne 3000, Australia

Abstract

The expectile-based Value at Risk (EVaR) has gained popularity as it is more sensitive to the magnitude of extreme losses than the conventional quantile-based VaR (QVaR). This paper applies the expectile regression approach to evaluate the EVaR of stock market indices of Australia and Japan. We use an expectile regression model that considers lagged returns and common risk factors to calculate the EVaR for each stock market and to evaluate the interdependence of downside risk between the two markets. Our findings suggest that both Australian and Japanese stock markets are affected by their past development and the international stock markets. Additionally, ASX 200 index has significant impact on Nikkei 225 in terms of downside tail risk, while the impact of Nikkei 225 on ASX is not significant.

Publisher

MDPI AG

Reference51 articles.

1. Relating quantiles and expectiles under weighted-symmetry;Abdous;Annals of the Institute of Statistical Mathematics,1995

2. Adrian, Tobias, and Brunnermeier, Markus K. (2009). CoVaR, Federal Reserve Bank of New York. Technical Report 348.

3. Forecasting risk in the us dollar exchange rate under volatility shifts;Anjum;The North American Journal of Economics and Finance,2020

4. Jump spillover in international equity markets;Asgharian;Journal of Financial Econometrics,2006

5. Risk contagion among international stock markets;Asgharian;Journal of International Money and Finance,2011

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3