The Impact of Interest Rate on Information Flow Interpretation: Evidence from ChiNext
Author(s) -
Yongjie Zhang,
Lina Feng,
Jin Xi,
Dehua Shen
Publication year - 2013
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2013.05.083
Subject(s) - computer science , heteroscedasticity , volatility (finance) , autoregressive conditional heteroskedasticity , interpretation (philosophy) , interest rate , autoregressive model , econometrics , flow (mathematics) , economics , mathematics , macroeconomics , geometry , programming language
The objective of this paper is to employ the GARCH (generalized autoregressive conditionally heteroskedastic) methodology to investigate the impact of interest rate on the information flow interpretation. The results show that the information flow interpretation exhibits significant difference in rising period and fluctuating period of interest rate. This difference would suggest that the components of volatility are subject to macroeconomic factor. Some tentative explanations are given
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