DocumentCode :
3038079
Title :
Empirical Analysis of Chinese Open-Ended Fund´s Liquidity Risk
Author :
Zhang, Xiaofeng ; Zhong, Xiaohua
Author_Institution :
Sch. of Econ. & Manage., Changsha Univ. of Sci. &Technol., Changsha, China
fYear :
2009
fDate :
24-26 July 2009
Firstpage :
431
Lastpage :
434
Abstract :
In order to measure the open-ended fund´s liquidity risk accurately, the method of non-liquidity and VaR are used in this paper. We measure the liquidity risk of open-ended fund with non-liquidity indicators, fitting these non-liquidity indicators of sample funds with GARCH model under normal distribution, t-distribution and generalized error distribution (GED), then put the fitting parameters into the method of VaR to calculate the value of sample fundspsila liquidity risk. Empirical results show that: the liquidity indicators of open-ended fund have the characterstics of conditional heteroscedasticity, excess kurtosis and fat tail, which get the maximum reflection in GARCH model ; The VaR value caculated from generalized error distribution comparing with other different distributions is optimal for its truly reflecting the liquidity risk of open-ended funds. The non-liquidity indicators and the method of based on GARCH model measuring the open-ended fund´s liquidity risk synthetically and completely solve the measurement problem of open-ended fund liquidity risk.
Keywords :
Gaussian processes; autoregressive processes; econometrics; economic indicators; error statistics; investment; normal distribution; risk analysis; sampling methods; Chinese open-ended sample fund liquidity risk measurement problem; GARCH model; GED; VaR method; conditional heteroscedasticity; empirical analysis; excess kurtosis; fat tail; generalized error distribution; investment portfolio; nonliquidity indicator; normal distribution; price volatility; t-distribution; value-at-risk method; Conference management; Costs; Economic indicators; Financial management; Portfolios; Reactive power; Risk analysis; Risk management; Technology management; Volume measurement; VaR-GARCH model; liquidity risk; open-ended funds;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3705-4
Type :
conf
DOI :
10.1109/BIFE.2009.104
Filename :
5208850
Link To Document :
بازگشت