EconPapers    
Economics at your fingertips  
 

Futures Hedging in CSI 300 Markets: A Comparison Between Minimum-Variance and Maximum-Utility Frameworks

Qianjie Geng () and Yudong Wang
Additional contact information
Qianjie Geng: Nanjing University of Science and Technology

Computational Economics, 2021, vol. 57, issue 2, No 14, 719-742

Abstract: Abstract In this paper, we explore the hedging performance of CSI 300 stock index futures under the minimum-variance and maximum-utility framework. We employ ten commonly used econometric models including constant and dynamic ones. Our empirical results indicate that for all futures contracts none of the single model can outperform all other models out-of-sample. In general, the dynamic hedge ratio models are significantly superior to the constant hedge ratio models under the both frameworks in CSI 300 market. Further we obtain the most robust hedging effectiveness by combining OHRs from dynamic hedge models.

Keywords: CSI 300 index; Maximum-utility hedging; Optimal hedging ratios; Model combination (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10614-020-09979-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:57:y:2021:i:2:d:10.1007_s10614-020-09979-z

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-020-09979-z

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:compec:v:57:y:2021:i:2:d:10.1007_s10614-020-09979-z