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DC Field | Value | Language |
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dc.contributor.author | Madhavan, Vinodh | |
dc.contributor.author | Mukhopadhyay, Ishita | |
dc.contributor.author | Ray, Partha | |
dc.date.accessioned | 2021-08-26T05:54:57Z | - |
dc.date.available | 2021-08-26T05:54:57Z | - |
dc.date.issued | 2020 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074970947&doi=10.1080%2f13504851.2019.1690121&partnerID=40&md5=7901b62b654556171a9c550d2335ce39 | |
dc.identifier.uri | https://ir.iimcal.ac.in:8443/jspui/handle/123456789/877 | - |
dc.description | Vinodh Madhavan, Amrut Mody School of Management, Ahmedabad University, Ahmedabad, India; Ishita Mukhopadhyay, Department of Economics, University of Calcutta, Kolkata, India; Partha Ray, Economics Group, Indian Institute of Management Calcutta, Kolkata, India | |
dc.description | ISSN/ISBN - 13504851 | |
dc.description | pp.1459-1462 | |
dc.description | DOI - 10.1080/13504851.2019.1690121 | |
dc.description.abstract | We study the impact of electronic trading in India via two distinct approaches. First, in a more traditional way, we model the data generating process (DGP) of share price index for different trading regimes using an AR-GARCH filter. Our results indicate regime-invariant nature of the DGP. Subsequently, we employ rolling Hinich Bicorrelation test to AR-GARCH-filtered standardized residuals to examine the degree of efficiency of Indian share price index across trading regimes. Our results indicate a distinct improvement in informational efficiency of Indian share price index pursuant to adoption of electronic trading systems. | |
dc.publisher | SCOPUS | |
dc.publisher | Applied Economics Letters | |
dc.publisher | Routledge | |
dc.relation.ispartofseries | 27(18) | |
dc.subject | Electronic trading | |
dc.subject | India | |
dc.subject | nonlinearity | |
dc.subject | stock prices | |
dc.title | Does electronic trading influence stock prices? The Indian experience | |
dc.type | Article | |
Appears in Collections: | Economics |
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