DocumentCode :
2328376
Title :
A Family of Autoregressive Conditional Duration Model under Random Environment
Author :
Miao, Junhong ; Wang, Yanying
Author_Institution :
Sch. of Math. & Stat., Hainan Normal Univ., Haikou, China
Volume :
2
fYear :
2011
fDate :
28-30 Oct. 2011
Firstpage :
111
Lastpage :
113
Abstract :
This article contains two novelties. First, we propose a new type of augmented ACD model under random environment. It turns out that flexible disturbance of the news impact function are necessary to appropriately model financial durations. The ACD model under random environment proposed in this paper seem to be a valuable alternative to existing approaches and have the best overall performance. Second, we give the transition probability of the process. Moreover by employing the transition probability, we give the probability properties of the ACD model under random environment, and give rigorous proofs of the probability properties.
Keywords :
autoregressive processes; financial management; probability; random processes; time series; augmented ACD model; autoregressive conditional duration model; financial durations; high-frequency financial time series; news impact function; random environment; transition probability; Econometrics; Educational institutions; Markov processes; Mathematical model; Presses; Random variables; Time series analysis; ACD model; Markov chain; geometric ergodicity; small set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1085-8
Type :
conf
DOI :
10.1109/ISCID.2011.129
Filename :
6079749
Link To Document :
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