Impact of Algorithmic Trading in Indian Financial Markets
| The goal of this project is to characterize in detail the nature and architecture of Algorithmic Trading (AT) in the Indian stock markets. AT involves the use of computer programs to buy and sell securities based on a pre-determined set of rules. Such algorithms have gained widespread use among institutional investors in major markets around the world; for instance, AT accounts for almost three-fourths of all trading activity on US-based exchanges. Even in an emerging market such as India, AT accounts for more than half of all trading in equity derivatives, and a fifth of all trading in the equity cash market. |
Project Team
Venkatesh Panchapagesan, Nidhi Aggarwal (IGIDR), Susan Thomas (IGIDR) and Sugato Chakravarty (Purdue University)
Sponsor
IIM Bangalore, NSE-NYU Grant for Study of Indian Capital Markets
Select Project Type
Ongoing Projects
Project Status
Ongoing (Initiated in 2013–2015)
Funded Projects Functional Area
Finance & Accounting
Impact of Algorithmic Trading in Indian Financial Markets
| Project Team: | Venkatesh Panchapagesan, Nidhi Aggarwal (IGIDR), Susan Thomas (IGIDR) and Sugato Chakravarty (Purdue University) | |
| Sponsor: | IIM Bangalore, NSE-NYU Grant for Study of Indian Capital Markets | |
| Project Status: | Ongoing (Initiated in 2013–2015) | |
| Area: | Finance & Accounting | |
| Abstract: |
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