High-frequency trading (HFT) is one of the most significant recent developments in the financial markets. This study aims to assess the present status of HFT in stock markets in India and across the world to identify subjective areas that can be used for carrying out research in HFT in relation to stock markets operating in India. The study will help to bring out significant areas of research gap which can help to regulate the HFT without much impact on the retail investors by reducing the leveraging effect of the prices. With the use of major studies that have highest citations during the previous ten years in the area of HFT, the regulatory measures and their impact on HFT were found to be an interesting area of research that is left unexplored. This study on whole has provided clear synthesis of HFT and its impact on stock markets over the decade which has helped to identify significant areas of research related to Indian as well as world stock markets.

Algo trading, high-frequency trading, stock markets, volatility

Agarwalla, S. K., & Pandey, A. (2012). Whether cross-listing, stock-specific and market-wide calendar events impact intraday volatility dynamics? Evidence from the Indian Stock Market using high-frequency data. SSRN Electronic Journal, 1–22. https://doi.org/10.2139/ssrn.2182429

Aggarwal, N., & Thomas, S. (2014, July). The causal impact of algorithmic trading on market quality (p. 36). Indira Gandhi Institute of Development Research.

Aggarwal, N., Venkatesh, P., & Thomas, S. (2017, October). When do regulatory hurdles work? https://www.cb.cityu.edu.hk/ef/doc/GRU/HFT%202017/2017October_OTRfee.pdf

Ait-Sahalia, Y., & Saalam, M. (2017). High-frequency market making: Implications for liquidity. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2908438

Arumugam, D., & Krishna Prasanna, P. (2021). Commonality and contrarian trading among algorithmic traders. Journal of Behavioral and Experimental Finance, 30, 100495. https://doi.org/10.1016/j.jbef.2021.100495

Baron, M., Brogaard, J., & Kirilenko, A. A. (2014). Risk and return in high-frequency trading. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2433118

Bhattacharya, M., Bhattacharya, S. N., & Jha, S. K. (2022). Does time-varying illiquidity matter for the Indian stock market? Evidence from high-frequency data. Australian Journal of Management, 47(2), 251–272. https://doi.org/10.1177/03128962211010243

Bhowmik, D. (2013). Stock market volatility: An evaluation. International Journal of Scientific and Research Publications, 3(10), 1–18.

Biais, B., Foucault, T., & Moinas, S. (2011). Equilibrium high-frequency trading. AFA 2013 San Diego Meetings Paper [HEC Paris Research Paper No. 968/2013]. https://doi.org/10.2139/ssrn.2024360

Chakervarti, D., & Chaitanya, D. (2016). Algorithm trading and high-frequency trading boon or bane in Indian context (Vol. 3, No. 8, pp. 8–9). www.ijamee.info

Dalko, V. (2016). Limit up–limit down: An effective response to the ‘flash crash’? Journal of Financial Regulation and Compliance, 24(4), 420–429. https://doi.org/10.1108/JFRC-04-2016-0040

Dalko, V., & Wang, M. H. (2018). High-frequency trading: Deception and consequences. Journal of Modern Accounting and Auditing, 14(5), 271–280. https://doi.org/10.17265/1548-6583/2018.05.004

Dalko, V., & Wang, M. H. (2019). Volume limit: An effective response to the India flash crash? Journal of Financial Regulation, 5(2), 249–255. https://doi.org/10.1093/jfr/fjz006

dan Rosad, S. (2015). Proposal for a regulation of the European Parliament and of the Council on ensuring a level playing field for sustainable air transport—‘ReFuelEU aviation’. Suparyanto Dan Rosad, 5, 248–253.

Dubey, R. K., Chauhan, Y., & Syamala, S. R. (2017). Evidence of algorithmic trading from Indian equity market: Interpreting the transaction velocity element of financialization. Research in International Business and Finance, 42, 31–38. https://doi.org/10.1016/j.ribaf.2017.05.014

Gai, J., Yao, C., & Ye, M. (2013). The externalities of high-frequency trading [Working Paper] (pp. 1–46). University of Illinois. http://www.sec.gov.edgekey.net/divisions/riskfin/seminar/ye031513.pdf

Ghosh, B., & Kozarevic, E. (2019). Multifractal analysis of volatility for detection of herding and bubble: Evidence from CNX Nifty HFT. Investment Management and Financial Innovations, 16(3), 182–193. https://doi.org/10.21511/imfi.16(3).2019.17

Hou, J., Zhao, S., Wang, H., & Bi, E. (2017). Journal of Management Science and Engineering, 2(2), 132–159. https://doi.org/10.3724/SP.J.1383.202007

Hu, C., Liu, Y. J., & Zhu, N. (2021). Deleveraging commonality. Journal of Financial Markets, 53, 100582. https://doi.org/10.1016/j.finmar.2020.100582

Iskandar. (2018). Grou, 23529(2), 1–45.

Jain, P. K., Jain, P., & McInish, T. H. (2016). Does high-frequency trading increase systemic risk? Journal of Financial Markets, 31. https://doi.org/10.1016/j.finmar.2016.09.004

Kauffman, R. J., Hu, Y., & Ma, D. (2015). Will high-frequency trading practices transform the financial markets in the Asia Pacific Region? Financial Innovation, 1(1), 1–27. https://doi.org/10.1186/s40854-015-0003-8

Lachapelle, A., Lasry, J. M., Lehalle, C. A., & Lions, P. L. (2016). Efficiency of the price formation process in presence of high-frequency participants: A mean field game analysis. Mathematics and Financial Economics, 10(3), 223–262. https://doi.org/10.1007/s11579-015-0157-1

Li, K. (2018). Do high-frequency fleeting orders exacerbate market illiquidity? Electronic Commerce Research, 18(2), 241–255. https://doi.org/10.1007/s10660-017-9273-8

Lin, Y. (2018). Limit up limit down, exchange access fee and high-frequency trading around price limits. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3019986

Linton, O., & Mahmoodzadeh, S. (2018). Implications of high-frequency trading for security markets. Annual Review of Economics, 10, 237–259. https://doi.org/10.1146/annurev-economics-063016-104407

Ma, R., Anderson, H. D., & Marshall, B. R. (2016). International stock market liquidity: A review. Managerial Finance, 42(2), 118–135. https://doi.org/10.1108/MF-04-2015-0096

Ma, R., Anderson, H. D., & Marshall, B. R. (2018). Market volatility, liquidity shocks, and stock returns: Worldwide evidence. Pacific Basin Finance Journal, 49, 164–199. https://doi.org/10.1016/j.pacfin.2018.04.008

Ma, T., & McGroarty, F. (2017). Social machines: How recent technological advances have aided financialisation. Journal of Information Technology, 32(3), 234–250. https://doi.org/10.1057/s41265-017-0037-7

Pitluck, A. Z. (2011). Distributed execution in illiquid times: An alternative explanation of trading in stock markets. Economy and Society, 40(1), 26–55. https://doi.org/10.1080/03085147.2011.529333

Raman, V., Robe, M. A., & Yadav, P. K. (2015). Man vs. machine: Liquidity provision and market fragility: August 2014. https://www.stern.nyu.edu/sites/default/files/assets/documents/Man%20vs%20Machine%20Liquidity%20Provision%20and%20Market%20Fragility.pdf

Sarlak, A., & Talei, Z. (2016). Impact of high-frequency trading on the stock returns of large and small companies in the Tehran Stock Exchange. International Journal of Economics and Finance, 8(4), 216. https://doi.org/10.5539/ijef.v8n4p216

Shafi, K., Latif, N., Shad, S. A., & Idrees, Z. (2019). High-frequency trading: Inverse relationship of the financial markets. Physica A: Statistical Mechanics and Its Applications, 527, 121067. https://doi.org/10.1016/j.physa.2019.121067

Sifat, I. M., & Mohamad, A. (2019). Circuit breakers as market stability levers: A survey of research, praxis, and challenges. International Journal of Finance and Economics, 24(3), 1130–1169. https://doi.org/10.1002/ijfe.1709

Sifat, I. M., & Mohamad, A. (2020). A survey on the magnet effect of circuit breakers in financial markets. International Review of Economics and Finance, 69(May), 138–151. https://doi.org/10.1016/j.iref.2020.05.009

Stefanova, J. (2018). High-speed technology trading innovations and capital market performance in Bulgaria. Financial Studies, 22(2(80)), 6–37. https://www.econstor.eu/handle/10419/231660

Wang, G. H. K., Wu, Z.-X., & Zheng, H. (2016). Market decline, high-frequency trading and liquidity commonality. Asian Finance Association (AsianFA) 2016 Conference (Vol. 1, pp. 1–21). https://ssrn.com/abstract=2727776