Transition to electronic trading of Kansas City Board of Trade wheat futures
Samarth Shah and
B Brorsen
No 56406, 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida from Southern Agricultural Economics Association
Abstract:
This study compares liquidity costs and other characteristics of electronic and open outcry hard red winter wheat futures contracts traded on the Kansas City Board of Trade. Liquidity costs are considerably lower in the electronic market than in the open outcry market. A new approach is used to estimate liquidity costs which eliminates bias resulting from splitting of orders in electronic markets. The liquidity costs are still considerably lower after correcting the bias in electronic market. Liquidity costs were higher in after-hours trading as compared to regular trading hours suggesting a negative impact of volume on liquidity costs. Volatility of futures prices and volume per trade are positively related to liquidity costs, while a negative relation is found between daily volume and liquidity costs. Round-number pricing is more prevalent in the open outcry market. Daily volumes were found distinctively higher during the rolling period as a result of Goldman-Sachs Roll. Trade size is larger in the open outcry market.
Keywords: Agribusiness; Agricultural Finance; Marketing (search for similar items in EconPapers)
Pages: 21
Date: 2010
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/56406/files/Shah_Brorsen_Manuscript_SAEA.pdf (application/pdf)
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:ags:saea10:56406
DOI: 10.22004/ag.econ.56406
Access Statistics for this paper
More papers in 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida from Southern Agricultural Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().