An Extreme Application of the Theoretical Prediction Open-end Fund Redemption of Methods
Cheng Wei,
Guifang Ren and
Jinyu Wang
Modern Applied Science, 2007, vol. 1, issue 4, 102
Abstract:
The open-end funds have liquidity risk, one of the main reasons !a the open-end fund huge redemption is elaborated, thpaper uses the extreme value theory measure the liquidity risk. Through the analysis, we found that the extreme application fit to forecast open-end fund redemption amount of their probability of occurrence, and use maximum likelihood method to estimate the parameters and goodness-of-fit test. This paper also uses the Monte Carlo method to the results for further simulation experiments, and forecast the mean and standard deviation of the redemption of the fund. Fund managers may, under certain probability, predict funds for the redemption, resulting in an appropriate reserve of cash, avoiding reasonably the open-end fund which provides liquidity risk. That is a good prediction method.
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ccsenet.org/journal/index.php/mas/article/download/2778/2568 (application/pdf)
https://ccsenet.org/journal/index.php/mas/article/view/2778 (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:ibn:masjnl:v:1:y:2007:i:4:p:102
Access Statistics for this article
More articles in Modern Applied Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().