SEBI Chief: Data-Driven Research Key for Resilient, Sophisticated Markets

SEBI Chairman Tuhin Kanta Pandey highlighted the structural shift in India's securities market, noting massive growth in market capitalization and investor base. He warned that technological advancement, while central to modern markets, brings new risks like algorithmic feedback loops and AI opacity. To address this, SEBI is promoting data as a public good, mandating data-sharing policies and releasing investor survey data for research. Pandey called for rigorous, interdisciplinary research to guide innovation and bridge the gap between academic study and market practice.

Key Points: SEBI Chairman on Data, Research for Securities Market Resilience

  • Market cap grew from ₹100T to ₹470T in a decade
  • Unique investors surged to 140 million
  • Tech introduces new complexities and risks
  • SEBI mandates data-sharing for research
  • New focus on regulatory impact analysis
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Data-driven governance and research critical for resilient securities markets: SEBI Chairman

SEBI Chairman Tuhin Kanta Pandey emphasizes data-sharing and research to manage risks in India's rapidly growing, tech-driven securities markets.

"Innovation must be accompanied by understanding. Otherwise, speed can outpace safety. - Tuhin Kanta Pandey"

Patalganga, February 12

When governed well and responsibly shared, data can support policy design, supervision, as well as risk assessment, said SEBI Chairman Tuhin Kanta Pandey. He stated that the objective of improving data accessibility is to boost high-quality research across the securities market ecosystem.

Speaking at the Sixth Annual International Research Conference on Securities Market (2025-26), organised by SEBI and the National Institute of Securities Markets (NISM) in collaboration with IIM Mumbai, Maharashtra National Law University, Mumbai, and NSE, Pandey emphasised that the regulator increasingly views market data as a public good.

The Indian securities market has undergone a structural shift over the last decade, transitioning from scale to sophistication. He noted that market capitalisation has surged from approximately Rs 100 trillion in FY15 to over Rs 470 trillion today. This growth is mirrored in the mutual fund industry, where assets under management rose from Rs 12 trillion in FY16 to Rs 81 trillion as of January 2026.

"The signals are a maturing ecosystem where long-term financing is increasingly market driven," Pandey noted, adding that unique investors have grown to 140 million from 38 million in 2019.

Technology now serves as the core architecture of these modern markets, with digital systems handling trading, clearing, and settlement. However, this advancement introduces new complexities and risks.

"Innovation must be accompanied by understanding. Otherwise, speed can outpace safety," Pandey cautioned. He highlighted that while artificial intelligence and advanced analytics can strengthen surveillance and detect fraud, algorithmic markets can create feedback loops, and AI models can introduce opacity. To address these "real and growing" concerns, he called for rigorous research on market microstructure and technology-driven risks.

To support this research-driven approach, SEBI has mandated that stock exchanges and clearing corporations implement data-sharing policies. The regulator recently conducted a scientific investor survey of 90,000 households, placing the underlying data in the public domain for researchers.

Pandey invited "researchers and practitioners to engage" with this data to uncover insights that may not be immediately visible. He also highlighted the establishment of the NISM Center for Regulatory Studies, which is intended to serve as a global knowledge hub for advanced research and provide critical inputs to regulators.

SEBI is further sharpening its focus on policy-oriented research through the introduction of regulatory impact analysis. A new vertical has been created under the Department of Economic Policy and Analysis to evaluate policy outcomes with evidence. This initiative is being guided by a committee chaired by the Chief Economic Advisor.

Pandey emphasised that the future research agenda must include India-specific behavioural finance and interdisciplinary studies. "Innovation must be guided by deep research, understanding, and evidence," he said, stressing the importance of bridging the gap between academic study and market practice.

- ANI

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Reader Comments

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Priya S
While the intent is good, I hope this data accessibility truly benefits small retail investors like us and not just large institutions. Often, sophisticated research remains behind paywalls. SEBI must ensure the insights from this public data are communicated in simple terms to help the aam aadmi make informed decisions.
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Vikram M
The caution about AI and algorithmic risks is very timely. We've seen flash crashes abroad. As our markets become more tech-driven, robust research into market microstructure is not a luxury, it's a necessity for stability. Glad SEBI is focusing on this. The new regulatory impact analysis vertical is a welcome step.
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Sarah B
As someone working in financial research, the mandate for exchanges to share data and the 90,000-household survey data being public is a game-changer. This can foster incredible India-specific studies. The call for interdisciplinary research is spot on—finance doesn't exist in a vacuum, especially in a diverse country like India.
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Rohit P
Market cap from 100 lakh crore to 470 lakh crore in a decade! 🤯 This is the real story of India's economic rise. When my father invested 20 years ago, it was so opaque. Today, with tech and initiatives like this, my SIP feels much more secure. Hope the research also looks into protecting small investors from volatility.
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Karthik V
A respectful criticism: SEBI talks a good game on research, but implementation is key. We need to see this data actually being used to simplify KYC processes, reduce compliance burdens for retail investors, and crack down on pump-and-dump schemes more effectively. Action must follow the words. The focus on behavioural finance is a great start

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