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DC Field | Value | Language |
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dc.contributor.author | Banerjee, Ashok | |
dc.contributor.author | Banerjee, Anirban | |
dc.date.accessioned | 2021-08-26T05:55:29Z | - |
dc.date.available | 2021-08-26T05:55:29Z | - |
dc.date.issued | 2020 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075204865&doi=10.1002%2ffut.22073&partnerID=40&md5=d965661b99af3c7f09485aadbbb6b618 | |
dc.identifier.uri | https://ir.iimcal.ac.in:8443/jspui/handle/123456789/968 | - |
dc.description | Ashok Banerjee, Finance, Accounting and Control Group, Indian Institute of Management Kozhikode, Kozhikode, India; Anirban Banerjee, Finance and Control Group, Indian Institute of Management Calcutta, Kolkata, India | |
dc.description | ISSN/ISBN - 02707314 | |
dc.description | pp.355-373 | |
dc.description | DOI - 10.1002/fut.22073 | |
dc.description.abstract | Algorithmic traders use their advantage of speed to execute a large number of small-sized trades in a very short time. In the presence of a minimum trading unit (MTU) restriction, they are forced to trade at the smallest possible sizes, often restricted by the MTU. Using a novel data set of single stock futures market obtained from the National Stock Exchange of India, we show that the MTU restriction acts as a binding constraint for traders while optimizing trade sizes. Contrary to expectation, we find weak evidence that liquidity is positively impacted by the contract size revision. | |
dc.publisher | SCOPUS | |
dc.publisher | Journal of Futures Markets | |
dc.publisher | Wiley-Liss Inc. | |
dc.relation.ispartofseries | 40(3) | |
dc.subject | Algorithmic trading | |
dc.subject | Contract size | |
dc.subject | Liquidity | |
dc.subject | Minimum trading unit | |
dc.subject | Trading volume | |
dc.title | Does trade size restriction affect trading behavior? Evidence from Indian single stock futures market | |
dc.type | Article | |
Appears in Collections: | Finance and Control |
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