On 27 November 2025, SEBI replaced the decade-old Beyond-Top-30 (B-30) additional Total Expense Ratio framework with a more targeted incentive structure under which distributors can earn up to ₹2,000 per new investor for onboarding PAN-verified individual investors from B-30 cities and new women investors nationwide, subject to persistence conditions. This article examines the reform through the lens of the academic literature on incentive design for financial intermediaries, traces its regulatory evolution in India, and compares it with parallel approaches in the United States and the United Kingdom. The reform is especially significant because it seeks to curb well-known gaming under the earlier regime, where asset-gathering incentives could encourage superficial geographic tagging, short-term account opening, and flows that increased eligible assets without necessarily improving genuine financial inclusion, investor retention, or product suitability. By tying incentives more closely to verified first-time participation and persistence, the new framework attempts to shift distributor effort from volume-chasing to deeper investor acquisition. That shift matters for practitioners and investors because it bears directly on distribution quality, the durability of flows, mis-selling risks, and the credibility of mutual fund expansion into underserved segments. The analysis concludes that while SEBI’s redesign addresses several structural weaknesses in the prior framework, its long-term effectiveness will still depend on complementary suitability safeguards, sustained financial literacy efforts, and a broader network of women distributors that the reform alone cannot ensure.

India’s mutual fund industry has grown from approximately ₹6 lakh crore in assets under management (AUM) in 2012 to approximately ₹75 lakh crore by July 2025[1], representing a twelve-fold expansion over thirteen years. Yet this growth has been deeply uneven in its geographic and demographic reach. As of mid-2025, B-30 cities—those beyond the top 30 by mutual fund AUM—account for barely 19%[2] of industry AUM, despite housing the majority of India’s population. Women investors constitute approximately 25.1-25.9% of unique individual investors by headcount yet hold a disproportionately higher 33.2% share of individual AUM[3], suggesting that those women who do invest tend to hold larger portfolios—but the participation gap remains substantial relative to their share of the population. Addressing these structural gaps through distributor incentives has been a recurring feature of SEBI’s regulatory toolkit for over a decade.

The framework that the 2025 circular replaces—Regulation 52(6A)(b) of the SEBI (Mutual Funds) Regulations 1996—permitted AMCs to charge an additional expense of up to 30 basis points on daily net assets for schemes attracting qualifying inflows from B-30 cities. By 2022–23, SEBI’s own surveillance algorithms had detected systematic misuse: distributors were splitting transactions to remain within incentive-triggering thresholds and churning holdings at just over the one-year mark before immediately reinvesting to restart the incentive clock. AMFI suspended B-30 incentives from 1 March 2023, pending the introduction of system-driven controls.

The 27 November 2025 circular replaces this mechanism entirely. Under the new framework, operative from 1 March 2026, AMCs must pay distributors: (a) 1% of the first lump-sum investment capped at ₹2,000, provided the investor remains invested for at least one year, or (b) 1% of SIP contributions in the first year capped at ₹2,000—for each genuinely new investor, verified by a new PAN at the mutual fund industry level, from B-30 cities or among women investors from any city. Dual incentives for the same investor or investment are not permitted. The incentive is funded from the 2-bps investor education and financial inclusion set-aside already mandated within TER limits, is additional to existing trail commissions, and is subject to clawback provisions.

2.1 Theoretical Foundations

The analytical core of distributor incentive design is the multi-task agency problem. When an agent is compensated for transactions rather than outcomes, effort is misallocated across tasks: the agent reduces investment in suitability assessment relative to prospecting. Inderst and Ottaviani (2009) formalise this in their landmark paper ‘Mis selling through Agents,’ demonstrating that agents strategically exploit naïve consumers who fail to discount for conflicts of interest, and that product providers competing through hidden kickbacks drive advisers to respond to supply-side incentives rather than client needs. Their companion paper (2012) ‘How (Not) to Pay for Advice’ distinguishes between naïve and wary consumers and shows that even mandatory disclosure fails to correct the bias when consumers lack the financial sophistication to interpret it.

Gennaioli et al. (2015) develop the ‘money doctor’ model, in which trust between an adviser and client enables the adviser to charge management fees and influence portfolio choice in ways that pander to investor biases rather than correct them. The prediction is directly relevant to India’s rural and semi-urban markets: in low-financial-literacy environments, trust-based relationships may generate higher product uptake while simultaneously misallocating household savings.

2.2 Empirical Evidence on Broker-Sold Funds

The foundational empirical study of Bergstresser et al. (2009) on the US mutual fund market finds that broker-distributed funds deliver materially lower risk-adjusted returns than direct-sold funds even before subtracting load fees—a pattern consistent with commission-driven product selection rather than genuine advisory value.

Mullainathan et al. (2012) deploy trained auditors in a field study of US financial advisers, demonstrating that advisers reinforce return-chasing and actively steer clients away from low-cost index portfolios when the client’s existing portfolio is already diversified—advice that serves the adviser’s commission interest rather than the client’s welfare.

Foerster et al. (2017) provide the most rigorous decomposition of adviser influence, finding that adviser fixed effects explain more variation in client portfolio composition than client characteristics, with average fees of 2.7% per annum consuming the entire equity risk premium for a median client.

An important counterpoint comes from Chalmers and Reuter (2020), who exploit a natural experiment in Oregon’s state retirement plan to show that conflicted advice—though costly—outperforms no advice for investors who would otherwise invest too conservatively or not at all. This finding is directly relevant to India’s inclusion challenge: eliminating distributor incentives entirely might harm the underserved populations the policy targets most.

On commission structure, Christoffersen et al. (2013) provide pivotal evidence that upfront load-sharing by mutual funds predicts worse subsequent fund performance while trailing commissions do not, implying that trail-based models better align distributor and investor interests over time. This finding underlies SEBI’s post-2018 prohibition on upfront commissions and the new framework’s one-time-plus-trail hybrid structure.

3.1 Regulatory History of Geographic Incentives

SEBI introduced the geographic distribution incentive in September 2012, permitting AMCs to charge an additional TER of up to 30 bps on schemes meeting inflow thresholds from beyond the top 15 cities (B-15), while simultaneously mandating direct plans and the 2 bps investor education set-aside. In February 2018, the classification expanded from B-15 to B-30, defined in SEBI Circular SEBI/HO/IMD/DF2/CIR/P/2018/16 of 2 February 2018, to reflect urban sprawl and market development. The October 2018 TER rationalisation reduced overall expense slabs and restricted the B-30 incentive to individual investor assets.

By 2022–23, SEBI’s data analytics identified two categories of systematic abuse. The first was transaction splitting: multiple same-day transactions in the same scheme by the same distributor, structured to maximise the B-30 incentive per rupee processed. The second was churn cycling: SEBI algorithms detected holdings redeemed just after the one-year mark and reinvested within five days in the same scheme, restarting the incentive clock. SEBI further identified non-uniform calculation methodologies across AMCs and the absence of system-driven controls to detect these patterns in real time. AMFI accordingly suspended the B-30 incentive from 1 March 2023.

3.2 Academic Studies on Commission Effects in India

Anagol et al. (2017) conduct field experiments with Indian insurance agents and find that agents overwhelmingly recommend unsuitable, commission-dominated products—and, critically, engage in regulatory arbitrage when disclosure requirements are tightened on one product class, shifting to alternative high-commission products outside the disclosure perimeter. This documented substitution behaviour is the most important caution for SEBI’s new framework: if ₹2,000 proves insufficient relative to commissions available from competing financial products such as insurance or small-finance bank fixed deposits, distributors may redirect their effort.

Halan et al. (2014) estimate that Indian investors lost over ₹1.5 trillion from mis-sold insurance policies underpinned by upfront commissions of up to 40% of first-year premiums—among the most striking evidence globally of consumer harm from commission-based distribution in a low-literacy market.

Cole et al.’s (2011) field experiments in India and Indonesia find that financial education programmes have modest effects on product uptake while even small subsidies substantially increase demand for bank savings accounts, with accounts remaining actively used two years after the subsidy. This finding is the most direct empirical support for SEBI’s supply-side incentive approach—although it also implies that the ₹2,000 cap must be calibrated to meaningfully offset the higher transaction costs inherent in reaching B-30 investors.

Despite documented gaming, the B-30 framework did deliver measurable geographic expansion. B-30 AUM share grew from approximately 15% to 19% between March 2019 and September 2025[4]; by January 2025, B-30 cities accounted for 58% of new investor folios; and by August 2024, approximately 54% of all live SIP accounts originated from B-30 cities. The persistent gap between folio share (58%) and AUM share (19%) signals substantially lower average ticket sizes in B-30 cities—structurally consistent with the higher information and search costs faced by smaller investors.

4.1 United States: From Suitability to Regulation Best Interest

The United States has historically governed broker-dealer conduct through FINRA’s suitability rule (Rule 2111), which requires recommendations to be suitable for the customer but does not require advisers to place client interests above their own. The SEC’s 2019 Regulation Best Interest[5] (Reg BI, Release No. 34-86031) represents the most significant US reform of this standard, imposing four obligations on broker-dealers: disclosure, care, conflict mitigation, and compliance. However, Reg BI stops short of a fiduciary duty, permitting recommendations of non-optimal products where conflicts are disclosed and ‘reasonably addressed.’ A RAND Corporation study commissioned by the SEC had already documented that retail investors systematically fail to distinguish broker-dealers from fiduciary investment advisers, rendering disclosure-only approaches structurally insufficient.

4.2 United Kingdom: The Retail Distribution Review and the Advice Gap

The UK’s Retail Distribution Review (RDR)[6], implemented by the Financial Services Authority and effective from 31 December 2012, took the most radical available approach: a comprehensive ban on commission payments from product providers to advisers for retail investment products, with fees required to be agreed directly between client and adviser. The RDR’s logic rested on the FSA’s finding that commission bias was endemic, that disclosure had failed to neutralise it, and that the only structural solution was elimination of the conflicted payment mechanism.

The outcomes were mixed. The FCA’s post-implementation evaluation[7] found that revealing the true cost of advice prompted some consumers to disengage from the market, with the average advised client holding over £150,000 in investable assets by 2014—a sharp upmarket skew that confirmed the predicted ‘advice gap’ for mass-market consumers. A 2020 FCA evaluation[8] found only 8% of UK adults (4.1 million people) had received regulated financial advice in the previous year, with average initial advice charges of 2.4% and ongoing charges of 0.8% per annum. The Financial Advice Market Review (FCA/HM Treasury, March 2016) acknowledged the gap and called for streamlined advice models, with the FCA’s subsequent Consumer Duty (PS22/9, July 2022) imposing an outcome-based standard.

The RDR’s ten-year retrospective identifies a further consequence: the number of independent financial advisers fell sharply in the years immediately following 2012 as fee-based practice proved uneconomical at lower wealth levels, only recovering as the industry consolidated into larger, wealthier client-focused practices. This structural attrition is the key warning for India, whose B-30 and women-investor populations are precisely those who would be least served by an advice market that bifurcates into high-net-worth advisory and an unadvised mass market.

4.3 European Union: MiFID II’s Partial Inducements Framework

The EU’s Markets in Financial Instruments Directive II (MiFID II, Directive 2014/65/EU) adopted a middle position: permitting commissions only where they ‘enhance the quality of service to the client’ and are disclosed, while banning inducements for ‘independent’ advice and execution-only services. A 2023 European Commission study[9] found that products sold with inducements cost investors approximately 35% more than non-induced products, yet the Commission’s Retail Investment Strategy Package (2023) declined full inducements ban, instead proposing partial bans for execution-only sales and a ‘best interest’ test for advised sales. The EU experience illustrates that even partial inducement restrictions require extensive supervisory infrastructure to enforce the quality-enhancement condition.

The academic literature establishes a persistent gender gap in financial literacy that survives controlling for education and income across more than twelve countries. A particularly robust finding concerns the ‘confidence channel’: in the standard three-question financial literacy test (interest compounding, inflation, and risk diversification), women are substantially more likely to select ‘don’t know’ than men of identical actual knowledge. This response pattern has material policy implications: it means that measured female financial illiteracy overstates true illiteracy, but that low confidence itself may depress investment participation even when knowledge is adequate.

Demirgüç-Kunt et al. (2013) document a specific barrier to women’s financial participation in developing countries: household financial decisions are dominated by male members, and women often cite not needing an account—interpreted in the literature as a delegation norm limiting women’s direct financial participation regardless of financial literacy levels. By contrast, Barber and Odean’s (2001) celebrated analysis of retail trading behaviour finds women exhibit lower overconfidence than men and achieve better net investment returns, suggesting that once women are brought into the market, their investment behaviour is likely to be more stable and return aligned.

SEBI’s Investor Survey 2025[10] provides the most current primary evidence on India’s gender awareness gap: women’s awareness of at least one securities market product stands at 58% compared to 66% for men in the household survey, with a substantial rural–urban gap (urban 74% vs rural 56%). Indian mutual fund data present a textured picture. As of March 2025, women account for 25.1% to 25.9% of individual mutual fund investors by headcount but hold approximately 33.2% of individual AUM, with women’s mutual fund assets more than doubling from ₹4.59 lakh crore to ₹11.25 lakh crore between March 2019 and March 2024[11]. Women-originated SIP accounts grew 269% between December 2020 and December 2024. However, women constitute only 21.5% of mutual fund distributors—a supply-side gap that may structurally limit the effectiveness of distributor-based outreach to women investors who prefer or require same-gender financial counsel.

The comparative evidence on inclusion interventions is instructive. Suri and Jack’s (2016) landmark study of M-Pesa in Kenya finds that mobile money access lifted approximately 194,000 households from poverty with effects more pronounced for female-headed households, suggesting that infrastructure and access interventions can achieve gender-targeted financial inclusion at scale where awareness campaigns alone fail. Dupas and Robinson’s (2013) field experiment in Kenya finds that even non-interest-bearing savings accounts with high withdrawal fees significantly increased productive investment among market women, highlighting that basic access provision rather than product quality may be the binding constraint for first-time investors.

6.1 Structural Improvements Over the Prior Regime

The new framework addresses each documented failure of the B-30 TER model. The shift from a percentage-of-AUM incentive to a fixed ₹2,000 cap directly eliminates the proportional relationship between transaction size and distributor reward that incentivised splitting: under the old regime, a distributor earned more by splitting a ₹2 lakh investment into multiple smaller transactions; under the new regime, the maximum incentive is identical regardless of transaction structure. PAN-level verification at the mutual fund industry level—rather than at the scheme or AMC level—closes the loophole that allowed existing investors to be re-registered as ‘new’ through product-switching. AMC implementation guidance confirms additional integrity constraints: PAN updates on existing folios are excluded, as are PANs added via zero-balance folios created prior to the circular date, and minor investor accounts are excluded. The one-year persistence condition with contractual clawback directly targets churn cycling. The exclusion of short-duration schemes—overnight, liquid, ultra-short, and low duration—eliminates the channel through which temporarily parked money generated B-30 incentives without genuine inclusion.

6.2 Design Vulnerabilities and Open Questions

Several features of the new framework raise concerns grounded in the literature. The funding mechanism—diverting from the 2-bps investor education and financial inclusion set-aside—creates a zero-sum trade-off between supply-side distribution incentives and demand-side capability building. Cole et al. (2011) finding that subsidies outperform education in the short run supports this reallocation, but the evidence base on long-run retention is ambiguous: investors who enter the market with strong distributor incentives but limited financial literacy may prove more susceptible to inappropriate product recommendations in subsequent periods. SEBI’s own policy communications emphasise ongoing governance concerns over investor education and awareness fund (IEAF) utilisation, indicating that the opportunity cost of diverting these funds towards distributor payments is nontrivial.

The ₹2,000 cap may be insufficient to shift distributor behaviour in the most remote B-30 locations. SEBI’s CRISIL data[12] indicate that B-30 average SIP sizes are approximately ₹1,200–1,500 per instalment, implying that a distributor’s total first-year commission for a typical B-30 SIP investor under the new regime—approximately 1% of ₹14,400–₹18,000 in trail plus a one-time incentive of around ₹180—remains far below the economics of comparable insurance product placements. Anagol et al.’s (2017) regulatory arbitrage finding is the key risk: if the incentive is not competitive with alternative commission streams, distributors with the capacity to reach B-30 and women investors may allocate that capacity to other products.

The prohibition on dual incentives—preventing a distributor from claiming both B-30 and women-investor incentives for the same person—is administratively logical but creates a classification hierarchy that may produce unintended prioritisation effects. A new woman investor from Jaipur or Udaipur qualifies under both heads but can trigger only one incentive. Where AMC systems process PAN records sequentially, the classification outcome may depend on technical implementation rather than policy intent.

The most structurally significant gap is the absence of suitability and product-governance obligations as a condition of incentive eligibility. Reg BI’s ‘care obligation’—requiring that commission-earning broker-dealers demonstrate consideration of the costs, risks, and alternatives to any recommended product—has no analogue in the SEBI circular. Without a defined product-suitability standard at the point of onboarding, the incentive rewards investor acquisition without regard to whether the recommended scheme is appropriate for the new investor’s risk profile, time horizon, or financial objective.

The monitoring framework also requires attention. The 2023 episode demonstrates that SEBI can detect churn patterns from AUM and transaction data; however, the new regime requires monitoring of ‘new PAN’ integrity at industry level, one-year persistence, redemption patterns (especially bunching just after one year), and complaint metrics. Institutionalising these evaluation metrics from the outset would enable early detection of emerging gaming behaviours.

6.3 What the Literature Recommends

The comparative and academic evidence converges on five complementary measures that the circular does not address. First, suitability obligations tied to incentive payment: conditioning eligibility on a documented suitability assessment—even a simplified risk-profiling questionnaire at the point of sale—would align the financial reward with the policy objective of genuine inclusion rather than mere folio creation and would align the framework with the care-obligation logic of Reg BI.

Second, ring-fencing a minimum share of the 2 bps set-aside for direct education is essential. If distributor payments absorb half of the 2 bps allocation, the original demand-side purpose of the education set-aside is diminished. Reserving a defined proportion for direct literacy and awareness programming—particularly targeted at women and rural cohorts—is supported by the National Strategy for Financial Education 2020–25’s identification of these groups as requiring continued focused effort.

Third, an outcome transparency dashboard is needed. AMCs, AMFI, and SEBI should commit to publishing periodic data on new PAN counts by B-30 status and gender, product-category distribution, ticket size distributions, one-year and two-year persistence rates, redemption patterns, and complaint and disciplinary metrics broken down by incentive cohort. This data infrastructure would enable credible evaluation once the regime matures.

Fourth, incentives should be bundled with standardised point-of-sale education nudges for first-time investors. The SEBI Investor Survey 2025’s finding of lower awareness among women and rural cohorts supports the ‘prices plus knowledge’ complementarity—low-friction education combined with subsidy-like interventions. Digital onboarding flows present a natural integration point for short educational content about scheme types, SIP mechanics, and redemption norms.

Fifth, accelerating the registration of women distributors is necessary. With women constituting only 21.5% of mutual fund distributors, outreach to women investors in conservative social environments may be structurally constrained by the gender composition of the distribution force. AMFI’s targeted registration efforts merit acceleration and formal target-setting if the women-investor incentive is to generate demand-side uptake in culturally conservative B-30 communities.

SEBI’s November 2025 circular represents a technically sophisticated response to a documented regulatory failure. The structural fixes—fixed caps, PAN-industry verification, persistence conditions, scheme exclusions, and anti-dual-claim provisions—directly address the churning and splitting behaviours that necessitated the suspension of B-30 incentives in 2023. The preservation of a commission-based distribution model, rather than an RDR-style ban, is appropriate for India’s market maturity and consistent with academic evidence that imperfect advice outperforms no advice for underserved populations.

However, the framework’s long-term effectiveness remains contingent on factors outside its perimeter. The principal-agent literature—from Inderst and Ottaviani’s theoretical work through Anagol, Cole, and Sarkar’s Indian field evidence—demonstrates that incentive redesign shifts distributor behaviour but does not eliminate conflicts of interest. The fundamental tension between acquisition incentives and suitability diligence remains unresolved in the absence of enforceable care obligations. Without concurrent investments in suitability infrastructure, financial literacy, and distributor diversity, the new regime risks creating a larger, but not better-served investor base.

The diversion of investor education resources towards distributor commissions is the framework’s most theoretically contested design choice. SEBI’s Investor Survey 2025 identifies persistent and material awareness gaps among women and rural cohorts—precisely the populations targeted by the new incentive. If acquisition without comprehension is the outcome, the measured increase in unique investor counts may overstate the welfare gains from the policy.

The comparative experience of the US and UK reinforces that no single regulatory instrument resolves the commission conflict. The UK’s commission ban improved product quality at the cost of an advice gap that regulators are still managing over a decade later. The US’s disclosure-plus-mitigation approach under Reg BI has produced incremental improvements without eliminating conflicts. India’s hybrid—preserving commission flows while structurally re-routing them towards inclusion objectives—is an innovative middle path whose effectiveness will be demonstrated by the evolution of B-30 and women-investor AUM share, persistence rates, and advice quality metrics over the next three to five years.

As the regime became effective in March 2026, causal evidence is not yet available. The priority for researchers and policymakers is to pre-commit to credible evaluation designs—difference-in-differences studies using RTA and AMC microdata, audit-based advice-quality measurement in B-30 markets, and crowding-out tests for the education set-aside—that will allow the framework’s impact to be assessed rigorously as data accumulate.