Stock Index Futures Trading Impact on Spot Price Volatility. The CSI 300 studied with a TGARCH model
Journal article
Ausloos, M, Zhang, Y and Dhesi, G (2020). Stock Index Futures Trading Impact on Spot Price Volatility. The CSI 300 studied with a TGARCH model. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2020.113688
Authors | Ausloos, M, Zhang, Y and Dhesi, G |
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Abstract | A TGARCH modeling is argued to be the optimal basis for investigating the impact of index futures trading on spot price variability. We discuss the CSI-300 index (China-Shanghai-Shenzhen-300-Stock Index) as a test case. The results prove that the introduction of CSI-300 index futures (CSI-300-IF) trading significantly reduces the volatility in the corresponding spot market. It is also found that there is a stationary equilibrium relationship between the CSI-300 spot and CSI-300-IF markets. A bidirectional Granger causality is also detected. “Finally”, it is deduced that spot prices are predicted with greater accuracy over a 3 or 4 lag day time span. |
Keywords | TGARCH; CSI 300 index; CSI 300 stock index futures; index futures trading; spot price variability; co-integration causality tests |
Year | 2020 |
Journal | Expert Systems with Applications |
Publisher | Elsevier BV |
ISSN | 0957-4174 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.eswa.2020.113688 |
Publication dates | |
08 Jul 2020 | |
Publication process dates | |
Accepted | 21 Jun 2020 |
Deposited | 18 Jul 2020 |
Accepted author manuscript | License File Access Level Open |
Page range | 113688-113688 |
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https://openresearch.lsbu.ac.uk/item/8q238
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Accepted author manuscript
TGARCHImpactvmaESWAfull0R1 (1).pdf | ||
License: CC BY-NC-ND 4.0 | ||
File access level: Open |
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