An Extreme Application of the Theoretical Prediction Open-end Fund Redemption of Methods
- Cheng Wei
- Guifang Ren
- Jinyu Wang
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.
- Full Text: PDF
- DOI:10.5539/mas.v1n4p102
This work is licensed under a Creative Commons Attribution 4.0 License.
Journal Metrics
(The data was calculated based on Google Scholar Citations)
h5-index (July 2022): N/A
h5-median(July 2022): N/A
Index
- Aerospace Database
- American International Standards Institute (AISI)
- BASE (Bielefeld Academic Search Engine)
- CAB Abstracts
- CiteFactor
- CNKI Scholar
- Elektronische Zeitschriftenbibliothek (EZB)
- Excellence in Research for Australia (ERA)
- JournalGuide
- JournalSeek
- LOCKSS
- MIAR
- NewJour
- Norwegian Centre for Research Data (NSD)
- Open J-Gate
- Polska Bibliografia Naukowa
- ResearchGate
- SHERPA/RoMEO
- Standard Periodical Directory
- Ulrich's
- Universe Digital Library
- WorldCat
- ZbMATH
Contact
- Sunny LeeEditorial Assistant
- mas@ccsenet.org