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Navigating the Algorithmic Shift: A Comprehensive Analysis of Algorithmic Trading's Impact on Market Efficiency, Volatility, and Regulatory Frameworks in Emerging Economies

Authors: Pankaj Pachauri

Published: 2025-04-28 19:54:53.293

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Abstract

This research paper delves into the multifaceted impact of algorithmic trading (AT) on market dynamics within emerging economies, with a particular focus on India. The study examines the influence of AT on market efficiency, volatility, and the evolving regulatory landscape. Through a rigorous literature review and quantitative analysis, we assess the benefits and risks associated with AT adoption, including its potential to enhance liquidity, reduce transaction costs, and contribute to price discovery, while also addressing concerns about increased volatility, market manipulation, and systemic risk. The research also critically evaluates existing regulatory frameworks and proposes recommendations for adapting these frameworks to effectively govern AT activities in emerging markets, fostering innovation while mitigating potential adverse consequences. The findings contribute to a deeper understanding of the complex interplay between technology, finance, and regulation in shaping the future of financial markets in the developing world.

Keywords

Algorithmic Trading, Market Efficiency, Volatility, Emerging Economies, Regulatory Frameworks, High-Frequency Trading, Financial Markets, India, Market Microstructure, Quantitative Analysis

References

  1. 1. Aldridge, I. (2013). High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems. John Wiley & Sons
  2. 2. Boehmer, E., Lisowski, K., & Saar, G. (2017). Does High-Frequency Trading Improve the Information Content of Quotes?. Journal of Financial Economics, 123(1), 1-23
  3. 3. Brogaard, J. (2010). High frequency trading and its impact on market quality. Northwestern University, Kellogg School of Management
  4. 4. Chakrabarti, T., Kakani, R. K., & Prakash, G. (2015). Impact of Algorithmic Trading on Indian Stock Market. Procedia Economics and Finance, 25, 422-429
  5. 5. Hasbrouck, J., & Saar, G. (2013). Low-latency trading. Journal of Financial Markets, 16(4), 646-679
  6. 6. Hendershott, T., Jones, C. M., & Menkveld, A. J. (2011). Does algorithmic trading improve liquidity?. The Journal of Finance, 66(1), 1-33
  7. 7. IOSCO. (2011). Regulatory Issues Raised by Dark Pools and Other Trading Venues. International Organization of Securities Commissions
  8. 8. Kirilenko, A., Kyle, A. S., Samadi, M., & Tuzun, T. (2017). The flash crash: High-frequency trading in an electronic market. The Journal of Finance, 72(3), 967-998
  9. 9. Narayan, P. K., & Sharma, S. S. (2015). Does economic reform impact stock market volatility? Evidence from India. Emerging Markets Finance and Trade, 51(5), 983-994
  10. 10. Madhavan, A. (2000). Market microstructure: A survey. Journal of Financial Markets, 3(3), 205-258
  11. 11. Stoll, H. R. (2006). Electronic trading in stock markets. Journal of Economic Perspectives, 20(1), 153-174
  12. 12. Easley, D., & O'Hara, M. (1987). Price, trade size, and information in securities markets. Journal of Financial Economics, 19(1), 81-110
  13. 13. Glosten, L. R., & Milgrom, P. R. (1985). Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of Financial Economics, 14(1), 71-100
  14. 14. Engle, R. F. (2001). GARCH 101: The use of ARCH/GARCH models in applied econometrics. Journal of Economic Perspectives, 15(4), 157-168. 15. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327
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How to Cite

Pankaj Pachauri, (2025-04-28 19:54:53.293). Navigating the Algorithmic Shift: A Comprehensive Analysis of Algorithmic Trading's Impact on Market Efficiency, Volatility, and Regulatory Frameworks in Emerging Economies. JANOLI International Journal of Economics and Management Science , Volume MejgkunYNoDF1a6qqjpe, Issue 1.

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