Comparison of Archimedean copula and mean variance method in estimating VaR an application to different stock portfolios

Value-at-Risk (VaR) is one of the most important tools used in modern financial risk management. The development of VaR estimation techniques is vibrant in recent decades. Traditional methods such as mean-variance method are popular due to its feasibility and relative accuracy. However, recent resea...

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Bibliographic Details
Main Authors: Tian, Cheng, Lin, Yiqing, Fan, Helan
Other Authors: Wu Yuan
Format: Final Year Project (FYP)
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/43860