Hedging effectiveness of the hedged portfolio: the expected utility maximization subject to the value-at risk approach
學年 103
學期 2
出版(發表)日期 2015-02-02
作品名稱 Hedging effectiveness of the hedged portfolio: the expected utility maximization subject to the value-at risk approach
作品名稱(其他語言)
著者 Chuang, Chung-Chu; Wang, Yi-Hsien; Yeh, Tsai-Jung; Chuang, Shuo-Li
單位 管理科學學系暨研究所
出版者 Routledge:Taylor & Francis Group
著錄名稱、卷期、頁數 Applied Economics 47(20), p.2040–2052
摘要 Multivariate volatilities and distribution play an important role in portfolio selection and can be used to calculate the value-at-risk (VaR) of a multiple-asset financial position. This study proposes a new expected utility maximization (EUM) model that accounts for VaR (EUM model with a VaR constraint (EUM–VaR)). Additionally, using the EUM–VaR model, this study investigates the hedging effectiveness of short and long hedged portfolios constructed with multivariate generalized autoregressive conditional heteroscedasticity (GARCH)-type models that feature level effects and multivariate normal and skewed distributions for stock indexes and their corresponding futures in the Greater China Region. It is found that, all else equal, portfolios constructed using the multivariate skewed distribution are far more effective in hedging than those that rely on the other distributions, and the effectiveness of hedged portfolios from the multivariate GARCH-type models with level effects outperform those without level effects. Additionally, the effectiveness of hedged portfolios from multivariate asymmetric GARCH-type models exceeds that of those from multivariate symmetric GARCH-type models. Thus, investors should select the multivariate asymmetry in volatility, multivariate asymmetry in distribution, and EUM–VaR models to construct effectively hedged portfolios. The results of this study can provide useful implications for investors looking to manage risk.
關鍵字 expected utility maximization;value-at-risk;GARCH;VEC–ADVECH;hedging effectiveness;futures
語言 en
ISSN 1466-4283
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者 Chuang, Chung-Chu
審稿制度
國別 GBR
公開徵稿
出版型式 ,電子版
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