DocumentCode :
2337148
Title :
The application of VAR model in the empirical study on steel futures price discovery
Author :
Zhang, Minghong ; Zhang, Zhenbo
Author_Institution :
Dept. of Public Finance, Xiamen Univ., Xiamen, China
fYear :
2012
fDate :
3-5 June 2012
Firstpage :
359
Lastpage :
361
Abstract :
In order to discuss the price discovery function of steel future, this paper made an empirical study with weekly data of rebar future price and spot price, which was by means of Johansen cointegration test, Granger causality test, Variance decomposition and Impulse response function basing on VAR model. It was found that there was long-run equilibrium relationship and Granger leading relationship between the two price series. Furthermore, it was proved that futures price shares a higher part of total variance than spot price by variance decomposition, and in short term both the future price and spot price made a stronger reaction to the standard difference innovation of future price than that of spot price. Therefore, this article illuminated that rebar futures plays a more important role in price discovery.
Keywords :
pricing; rebar; regression analysis; steel; Granger causality test; Granger leading relationship; Johansen cointegration test; VAR model; empirical study; equilibrium relationship; impulse response function; price series; steel future price discovery; steel rebar future price; steel rebar spot price; variance decomposition; vector autoregression model; Analytical models; Contracts; Reactive power; Standards; Steel; Stochastic processes; Technological innovation; Price discovery; Steel futures; VAR model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Applications (ISRA), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2205-8
Type :
conf
DOI :
10.1109/ISRA.2012.6219198
Filename :
6219198
Link To Document :
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