India Calls for Market Makers in Stock Auctions Amid Persistent Volatility

India’s equity markets have long been a study in contrasts—rapid growth, deep retail participation, and periodic bouts of turbulence that test the resilience of its trading infrastructure. The latest chapter in this ongoing saga centers on the auction mechanism, a critical yet often overlooked component of the market’s operational framework.

When securities hit their upper or lower circuit limits, or when extraordinary circumstances disrupt normal trading, exchanges turn to special auction sessions to discover a fair equilibrium price. These sessions, however, have become increasingly unpredictable amid persistent price swings, prompting regulators, exchanges, and market participants to reconsider how liquidity is provided during these critical windows.

The solution gaining traction is the introduction of dedicated market makers—specialized financial entities that commit to continuously quoting buy and sell prices, thereby narrowing spreads and absorbing order imbalances. This is not a novel concept; global exchanges have successfully deployed market-making programs for decades, particularly in options, ETFs, and less-liquid securities.

What makes the Indian context particularly compelling is the scale of the challenge: a market with millions of active retail investors, a rapidly expanding derivatives segment, and a regulatory framework that prizes investor protection above all else.

The call for market makers in stock auctions is therefore not merely a technical adjustment but a strategic response to structural volatility that threatens to erode confidence in price discovery.

This analysis examines the mechanics of India’s auction system, the specific pressures created by recent volatility, and the potential design of a market-making framework tailored to local conditions. It draws on global precedents, regulatory considerations, and the practical realities of implementation.

For investors, the stakes are considerable: more orderly auctions could mean fewer sudden gaps in prices, reduced slippage, and greater confidence in executing trades during stressed market conditions. For regulators, the challenge lies in crafting rules that incentivize liquidity provision without enabling manipulation or excessive risk-taking. The discussion is timely, the stakes are high, and the outcome will shape the market’s evolution for years to come.

TL;DR India’s stock exchanges are exploring the introduction of market makers to stabilize special auction sessions, which have become increasingly volatile amid persistent price swings. These auctions, triggered when stocks hit circuit limits or during exceptional circumstances, currently lack dedicated liquidity providers, leading to unpredictable price discovery. Market makers would commit to continuous two-sided quotes, narrowing bid-ask spreads and absorbing order imbalances. Global precedents from exchanges like NYSE, LSE, and Deutsche Börse demonstrate the effectiveness of such programs. Implementation requires careful regulatory design to prevent manipulation, ensure transparency, and maintain investor trust. The initiative reflects a proactive modernization of market infrastructure.

The Anatomy of India’s Auction Mechanism and Its Vulnerabilities

India’s equity exchanges employ call auctions as a price discovery tool during specific market events. When a stock hits its upper or lower circuit limit—typically 2%, 5%, 10%, or 20% depending on the security—trading halts and an auction session is triggered.

During this window, buy and sell orders are collected over a fixed period, typically 15 minutes, and a single equilibrium price is calculated to match maximum volume. This mechanism is designed to prevent panic-driven trades and allow the market to absorb information shocks in an orderly manner.

The vulnerability of this system lies in its dependence on voluntary order flow. Unlike continuous trading, where market makers and high-frequency traders provide constant liquidity, auction sessions rely entirely on the orders that happen to arrive during the collection window. In volatile conditions, this can result in thin order books, wide indicative price ranges, and final prices that deviate sharply from the last traded price.

The result is a price discovery process that feels arbitrary to investors and can trigger cascading stop-loss orders, amplifying rather than dampening volatility.

The Mechanics of Circuit Limit Auctions

Circuit limit auctions operate on a strict timeline. When triggered, the exchange immediately broadcasts an auction notice, followed by a 15-minute order collection period, a 5-minute no-cancel window, and a final price determination. During the collection phase, an indicative price is continuously calculated and displayed, allowing participants to adjust their orders.

The final auction price is the one that maximizes executable volume, with time priority as the tiebreaker. This design is elegant in theory but fragile in practice when order flow is one-sided.

Consider a scenario where a stock hits its upper circuit limit on strong buying interest. The auction collects mostly buy orders with few sellers willing to participate. The indicative price climbs steadily, and the final price may be set at the circuit limit itself, leaving many buyers unfilled. This outcome, while technically correct, creates a sense of unfairness and can discourage participation in future auctions. Conversely, during sharp sell-offs, the absence of buyers leads to auctions clearing at the lower limit, exacerbating panic.

The frequency of such events has increased notably in recent months. Data from the National Stock Exchange indicates that circuit limit triggers rose by approximately 35% year-over-year in the first half of 2026, driven by global macroeconomic uncertainty, domestic election-related jitters, and sector-specific shocks.

Each triggered auction carries the risk of disorderly price discovery, and the cumulative effect is a measurable erosion of investor confidence in the fairness of auction-determined prices.

Market participants have responded by adjusting their trading algorithms to anticipate auction outcomes, often front-running the indicative price or pulling liquidity entirely during volatile sessions. This behavior, while rational for individual actors, collectively worsens the liquidity vacuum that the auction mechanism was designed to fill. The result is a self-reinforcing cycle of volatility that regulators are increasingly keen to break.

Global Precedents in Auction Market Making

The concept of dedicated market makers for auction sessions is well-established internationally. The New York Stock Exchange operates a designated market maker (DMM) system where specialists are obligated to maintain fair and orderly markets, including during opening and closing auctions. DMMs commit capital to dampen volatility and are subject to strict performance metrics.

Similarly, the London Stock Exchange’s quote-driven market for less-liquid securities relies on market makers who provide continuous two-way prices, including during auction periods.

Deutsche Börse’s Xetra system offers perhaps the most relevant model. Its designated sponsor program requires market makers to provide binding quotes in specific securities, with obligations that extend to auction phases. The program has been credited with improving liquidity in small and mid-cap stocks, reducing bid-ask spreads by an average of 30%, and increasing trading volumes. These outcomes are precisely what Indian exchanges hope to replicate in their auction sessions.

Asian markets offer additional insights. The Tokyo Stock Exchange’s market maker system for ETFs and REITs has demonstrated that dedicated liquidity provision can coexist with a predominantly order-driven market structure. Singapore Exchange has similarly implemented market-making obligations for structured warrants and ETFs, with penalties for non-compliance. These precedents suggest that India can adapt proven models rather than inventing an entirely new framework.

The key design question is whether market makers should be obligated to quote during all auction sessions or only during stressed conditions. Mandatory participation ensures consistency but imposes costs on market makers during quiet periods. Optional participation, with incentives tied to auction outcomes, may be more palatable to market participants but risks insufficient coverage during exactly the moments when liquidity is most needed.

Regulatory and Operational Challenges

Implementing a market-making framework for auctions requires careful calibration of obligations and incentives. Market makers must be compensated for the risk they assume, typically through fee rebates, reduced transaction costs, or exclusive access to certain order types. However, excessive incentives could attract entities more interested in capturing subsidies than providing genuine liquidity. SEBI would need to establish clear eligibility criteria, performance benchmarks, and penalty structures to ensure the program serves its intended purpose.

Transparency is another critical concern. Market makers, by virtue of their obligations, gain visibility into order flow dynamics that ordinary participants lack. This information asymmetry could be exploited if not properly regulated. Chinese walls between market-making desks and proprietary trading desks, strict reporting requirements, and real-time surveillance are essential safeguards. The regulatory framework must also address potential conflicts of interest when market makers are affiliated with brokerages that handle client orders.

Operational readiness is equally important. Exchanges would need to upgrade their auction systems to accommodate market maker quotes, implement real-time monitoring tools, and develop contingency protocols for market maker defaults. The technology infrastructure for such enhancements is well within the capabilities of NSE and BSE, but the development and testing cycle would likely take 12 to 18 months. This timeline suggests that any implementation would occur in phases, starting with the most liquid securities and expanding gradually.

Finally, there is the question of market maker profitability. In volatile conditions, providing two-sided quotes in a fast-moving stock can result in significant inventory losses. Market makers must be able to hedge their positions, which requires access to derivatives markets and the ability to adjust quotes rapidly.

The regulatory framework must therefore accommodate the operational realities of market making, including the use of algorithmic trading systems and the ability to withdraw quotes under extreme conditions.

Volatility Dynamics and the Case for Liquidity Provision

The recent surge in market volatility has exposed structural weaknesses in India’s auction system. Between January and August 2026, the Nifty 50 index experienced daily moves exceeding 1% on 47 trading days, compared to 29 in the same period the previous year. This elevated volatility has translated directly into more frequent circuit limit triggers and, consequently, more auction sessions. Each session carries the risk of disorderly price discovery, and the cumulative effect is a measurable erosion of investor confidence.

The economic case for market makers rests on their ability to provide liquidity when it is most needed. During auction sessions, market makers would commit to quoting both buy and sell prices within a defined spread, regardless of prevailing market conditions. This commitment ensures that there is always a counterparty available, even when natural order flow is one-sided. The presence of a committed counterparty reduces the risk of extreme price moves and encourages broader participation in auctions.

Quantifying the Impact of Auction Volatility

Empirical analysis of auction outcomes reveals the scale of the problem. Data from NSE shows that in 2025, the average absolute deviation between the last traded price and the auction-clearing price was 2.8% for stocks triggering upper circuit limits, and 3.4% for those triggering lower limits.

These deviations are significantly higher than the 1.5% average observed in 2023, indicating a clear deterioration in price discovery quality. For investors, such deviations translate directly into unexpected execution prices.

The impact is particularly pronounced for retail investors, who constitute approximately 40% of Indian equity market turnover. Unlike institutional investors, who can often negotiate better execution or use algorithmic strategies to mitigate adverse prices, retail investors typically submit market orders that execute at whatever price the auction determines.

A 3% deviation from the last traded price can represent a significant portion of an investor’s expected return, especially for those trading in smaller quantities.

Market makers would directly address this problem by narrowing the indicative price range during the order collection period. With a committed two-sided quote, the indicative price would remain anchored closer to the last traded price, reducing the final deviation.

Simulations conducted by exchange officials suggest that the presence of a market maker quoting a 1% spread could reduce average auction price deviations by 40-50%, bringing them back in line with historical norms.

The benefits extend beyond price quality. More predictable auctions would reduce the need for exchanges to invoke additional volatility control mechanisms, such as dynamic price bands or trading halts. This simplification of the market structure would reduce operational complexity and make the Indian market more attractive to foreign institutional investors, who often cite unpredictable auction outcomes as a concern when allocating capital to emerging markets.

Incentive Structures and Market Maker Compensation

Designing an effective incentive structure is the linchpin of any market-making program. Market makers assume real risk by committing to quote prices in volatile conditions, and they must be compensated accordingly. The most common approach is a combination of fee rebates and reduced transaction costs. Exchanges can waive or reduce the fees market makers pay on executed trades, effectively subsidizing their activity. Some programs also offer priority access to certain order types or exclusive rights to trade in specific securities.

However, incentives must be carefully calibrated to avoid attracting the wrong kind of participant. If rebates are too generous, entities may register as market makers purely to capture subsidies without genuinely committing to liquidity provision. SEBI would need to establish minimum quoting obligations, such as a required presence in a certain percentage of auction sessions, and impose penalties for non-compliance. Performance metrics should be based on measurable outcomes, such as bid-ask spread width and the percentage of time quotes are active.

Another consideration is whether market makers should be allowed to hedge their auction positions in the derivatives market. Hedging is essential for managing inventory risk, but it also creates the potential for market makers to influence derivatives prices through their auction activity. Regulators would need to monitor cross-market activity to ensure that market making does not become a vehicle for market manipulation. Real-time surveillance systems, similar to those already deployed for high-frequency trading, would be essential.

The question of whether market making should be mandatory or voluntary is also central. Mandatory programs ensure consistent liquidity but impose costs on market makers during quiet periods. Voluntary programs, with incentives tied to actual liquidity provision, may be more efficient but risk insufficient coverage during stressed conditions.

A hybrid model, where market makers are required to participate in a minimum number of auctions but can choose which ones, may offer the best balance.

Investor Confidence and Market Participation

The ultimate beneficiary of market-making in auctions is the investing public. More orderly auctions mean fewer unexpected price gaps, which directly reduces the risk of stop-loss orders being triggered at unfavorable prices. This, in turn, reduces the cascade effect that often amplifies market downturns.

For retail investors, the psychological benefit of knowing that auctions will produce fair prices could encourage greater participation in the market, particularly during periods of high volatility.

Increased participation has a virtuous cycle effect. More participants mean deeper order books, which reduces the need for market maker intervention in the first place. Over time, the market could become self-sustaining, with market makers playing a diminishing role as natural liquidity improves.

This transition would mirror the evolution of developed markets, where market-making programs are often phased out or reduced once liquidity reaches a critical threshold.

For institutional investors, the benefits are more direct. Pension funds, insurance companies, and mutual funds often need to execute large orders during stressed conditions. The presence of market makers ensures that these orders can be filled without moving the market excessively. This reduces the cost of trading and improves the ability of institutions to rebalance portfolios in a timely manner. The result is a more efficient allocation of capital across the economy.

There are, however, legitimate concerns about the distribution of benefits. Market makers, by definition, profit from the bid-ask spread, which represents a cost to other market participants. If spreads are too wide, the cost of market making could outweigh the benefits of reduced volatility.

Regulators must therefore monitor spreads carefully and adjust obligations or incentives to ensure that the program delivers net benefits to the market as a whole.

Implementation Roadmap and Future Outlook

The path from discussion to implementation is rarely linear, and India’s exploration of auction market makers is no exception. SEBI has not yet issued a formal consultation paper, but market participants report that informal discussions have been underway for several months. The exchange infrastructure—NSE and BSE—is technically capable of supporting market maker quotes in auction sessions, but significant system upgrades would be required. The timeline for any formal proposal is likely 6 to 12 months, with implementation following 12 to 18 months after that.

The phased approach is the most likely implementation strategy. Initially, market makers could be introduced for the most liquid securities, where the impact of volatility is most pronounced and the risk of market maker losses is lowest. Once the framework is proven, it could be extended to mid-cap and small-cap securities, where the need for liquidity support is even greater. This gradual rollout would allow regulators to refine the rules based on real-world experience.

Regulatory Design Principles

Any market-making framework must be built on a foundation of clear regulatory principles. First, market makers must be subject to minimum quoting obligations that are measurable and enforceable. Second, the incentive structure must be transparent, with fee rebates and other benefits clearly disclosed. Third, surveillance systems must be capable of detecting manipulative behavior, such as quote stuffing or layering, in real time. Fourth, there must be a clear process for suspending or removing market makers that fail to meet their obligations.

The question of whether market makers should be allowed to trade for their own account beyond their market-making obligations is contentious. On one hand, proprietary trading can help market makers manage inventory risk and improve their profitability. On the other hand, it creates conflicts of interest and the potential for market manipulation.

A middle ground would be to require market makers to maintain separate accounts for market-making and proprietary activities, with strict reporting requirements for both.

SEBI’s existing regulatory framework for algorithmic trading provides a useful template. The current rules require algorithmic trading firms to register with exchanges, maintain audit trails, and submit to periodic inspections. A similar framework for market makers would leverage existing infrastructure and expertise. The key addition would be specific obligations related to auction participation, such as minimum quote presence and maximum spread width.

International coordination is another consideration. Many of the entities that would likely serve as market makers are global financial institutions with operations in multiple jurisdictions. SEBI would need to coordinate with regulators in other countries to ensure consistent standards and avoid regulatory arbitrage. Memoranda of understanding already exist between SEBI and several international regulators, providing a foundation for such coordination.

Potential Risks and Mitigation Strategies

No market structure change is without risks, and the introduction of auction market makers is no exception. The most significant risk is that market makers could use their privileged position to manipulate prices. For example, a market maker could quote artificially wide spreads to discourage trading, then profit from the resulting price movement. Mitigation requires robust surveillance and strict penalties for manipulative behavior, including the possibility of criminal prosecution for egregious cases.

Another risk is that market makers could become too dominant, effectively controlling price discovery in certain securities. This concentration risk is particularly acute in smaller stocks, where a single market maker could account for a significant portion of auction volume.

Regulators could address this by limiting the market share any single entity can hold in a given security, or by requiring multiple market makers for each security.

The cost of the program is also a consideration. Fee rebates and other incentives represent a direct cost to exchanges, which may ultimately be passed on to market participants through higher trading fees. Regulators must therefore conduct a thorough cost-benefit analysis before implementation, ensuring that the benefits of reduced volatility justify the costs. The analysis should consider both direct costs and indirect benefits, such as increased market participation and improved price discovery.

Finally, there is the risk of unintended consequences. Market makers could, for example, reduce their activity in continuous trading to focus on auction sessions, potentially reducing liquidity in the primary market. Or, the presence of market makers could create a false sense of security, encouraging investors to take on more risk than they otherwise would. These risks are difficult to predict and would require ongoing monitoring and adjustment of the framework.

The Broader Context of Market Modernization

The discussion of auction market makers is part of a broader trend toward market modernization in India. SEBI has been actively working on several fronts, including the introduction of a new derivatives framework, enhanced surveillance capabilities, and improved investor education.

The auction market maker initiative fits naturally into this agenda, addressing a specific weakness in the market infrastructure while contributing to the overall goal of making Indian markets more efficient and resilient.

The timing is also significant. India’s equity markets are attracting increasing attention from global investors, who are drawn by the country’s strong economic growth and improving corporate governance. However, these investors are also sophisticated and demanding, and they will not tolerate market infrastructure that is perceived as unreliable. The introduction of auction market makers would send a strong signal that India is committed to maintaining world-class market standards.

There are also implications for the broader financial ecosystem. Market makers in auctions would likely be the same entities that provide liquidity in the derivatives market, creating synergies that could improve overall market efficiency. The presence of dedicated liquidity providers could also encourage the development of new financial products, such as exchange-traded funds that track volatile sectors, by ensuring that these products can be traded efficiently.

For the average investor, the ultimate measure of success will be whether auctions become more predictable and fair. If the program works as intended, investors should see fewer unexpected price gaps, lower transaction costs, and greater confidence in the integrity of the market.

These outcomes would not only benefit existing investors but also encourage new participants to enter the market, contributing to the deepening of India’s capital markets.