SPAN margin (Standard Portfolio Analysis of Risk)

SPAN margin (Standard Portfolio Analysis of Risk) is the methodology used by the National Securities Clearing Corporation Limited (NSCCL , the clearing corporation of the National Stock Exchange ), the Indian Clearing Corporation Limited (ICCL , the BSE clearing corporation), and the Multi Commodity Exchange Clearing Corporation Limited (MCXCCL) to compute the initial margin required on derivatives positions in Indian markets. SPAN is the algorithmic core of the Indian derivatives margin regime: it computes, across a SEBI-approved set of price and volatility scenarios, the worst-case one-day loss a portfolio could experience, and that worst-case figure becomes the initial margin requirement.

SPAN was originally developed by the Chicago Mercantile Exchange (CME) in 1988 as a portfolio-based margin algorithm and has since been adopted by clearing corporations across global derivatives markets including India, Singapore, Hong Kong, and most European exchanges. The Indian implementation, deployed by NSCCL in 2000 when index futures were introduced and extended progressively across F&O segments, follows the CME SPAN specification with India-specific parameters set by SEBI in coordination with the exchanges.

The retail-trader-visible expression of SPAN margin is the “SPAN” line item that appears in the margin calculation on the Kite order window when placing a futures or options order. The figure shown is the SPAN component of the total initial margin; alongside SPAN, retail traders see the Exposure margin (an additional margin layer set by the exchange) and other margin components (mark-to-market, value-at-risk for cash markets, additional event-related margins). The total of these components is the margin blocked when an F&O position is opened.

This article covers the SPAN methodology, the parameters that drive the SPAN calculation in India, how SPAN margin interacts with the broader Indian derivatives margin regime (peak margin reporting, exposure margin, additional margins, hedged-position benefits), and the operational implications for retail clients of brokers including Zerodha , Upstox , Angel One , and others.

What SPAN computes

The risk array scenarios

SPAN’s core mechanic is to evaluate a portfolio’s profit or loss under a set of risk array scenarios: discrete combinations of price moves and volatility changes that the exchange has defined as worst-case but plausible. For each scenario, SPAN values the entire portfolio (across all positions in a given product group) under that scenario’s assumptions, and the worst loss across the scenario set becomes the SPAN risk requirement for the portfolio.

The standard SPAN risk array uses 16 scenarios in the original CME specification:

1. Underlying price unchanged, volatility up the maximum amount.
2. Underlying price unchanged, volatility down the maximum amount.
3. Underlying price up one-third of the price-scan range, volatility up the maximum amount.
4. Underlying price up one-third of the price-scan range, volatility down the maximum amount.
5. Underlying price down one-third of the price-scan range, volatility up the maximum amount.
6. Underlying price down one-third of the price-scan range, volatility down the maximum amount.
7. Underlying price up two-thirds of the price-scan range, volatility up the maximum amount.
8. Underlying price up two-thirds of the price-scan range, volatility down the maximum amount.
9. Underlying price down two-thirds of the price-scan range, volatility up the maximum amount.
10. Underlying price down two-thirds of the price-scan range, volatility down the maximum amount.
11. Underlying price up three-thirds of the price-scan range, volatility up the maximum amount.
12. Underlying price up three-thirds of the price-scan range, volatility down the maximum amount.
13. Underlying price down three-thirds of the price-scan range, volatility up the maximum amount.
14. Underlying price down three-thirds of the price-scan range, volatility down the maximum amount.
15. Underlying price up extreme move (a multiple of the scan range), 35 per cent loss covered (an “extreme up” scenario).
16. Underlying price down extreme move, 35 per cent loss covered (an “extreme down” scenario).

The price-scan range and volatility-scan range are the parameters that define the scenarios. They are calibrated by the clearing corporation to capture, with high statistical confidence, the price and volatility moves that the underlying could plausibly experience over the one-day margin horizon.

Price-scan range and volatility-scan range

For each product, the clearing corporation publishes:

• Price-scan range (PSR): the maximum percentage price move covered by the scenario set. Typically set to a multiple of the standard deviation of the underlying’s daily returns over a historical lookback (commonly 30 to 90 days), calibrated to a confidence level prescribed by SEBI (currently 99 per cent for most equity products, higher for volatile contracts).
• Volatility-scan range (VSR): the maximum change in implied volatility covered by the scenarios. Typically defined as an absolute percentage-point change (e.g., plus or minus 5 percentage points for liquid equity options).

The PSR and VSR are updated periodically as market conditions change. The clearing corporation publishes the current parameters in daily margin files that brokers download to compute the margin shown to retail clients.

Scanning risk

The scanning risk for a portfolio is the worst-case loss across the 16 risk array scenarios. For a portfolio with a single position, the scanning risk is simply the value of the position under the worst scenario. For a multi-position portfolio (multiple options strikes, multi-leg strategies, futures-and-options combinations), SPAN values each position under each scenario, aggregates the portfolio value, and identifies the worst aggregate loss.

For a hedged portfolio (a long futures position offset by a short futures position in a related contract, for example), the scenarios that hurt one position often help the other, reducing the worst-case loss substantially. This is the structural reason hedged positions get materially lower SPAN margins than naked positions: the worst-case scenarios are less bad when offsetting positions move together.

Inter-month and inter-commodity spread credits

Inter-month spread credit

SPAN recognises that a position in one expiry month of a contract can be partially offset by an opposite position in a different expiry month of the same underlying. For example, long Nifty August futures combined with short Nifty September futures is a calendar spread. The two positions move together but not identically (the basis between the months can change), so the spread is less risky than either single-leg position.

SPAN computes an inter-month spread charge that represents the residual basis risk and grants an inter-month spread credit that reduces the total SPAN margin compared to summing the two legs’ individual margins. The credit is calibrated to the historical correlation between the two months’ price moves.

Inter-commodity spread credit

For products that are economically related (e.g., gold and silver, or different currency pairs against the USD), SPAN can recognise spread positions across the related products. The Indian implementation grants inter-commodity spread credits on selected pairs as defined by the clearing corporation, with the specific pairings published in the margin parameter files.

Short option minimum charge

Selling options (writing) can produce losses far larger than the premium collected if the underlying moves materially against the writer. The 16 standard SPAN scenarios capture most plausible moves, but in extreme tail-event scenarios (beyond the PSR’s coverage), a short option position could lose substantially more than SPAN’s scenario-based scanning risk would suggest.

To address this, SPAN includes a short option minimum charge: a floor margin per short option lot, regardless of what the scenarios would otherwise yield. The clearing corporation sets this floor at a level that covers the residual tail risk on short option positions. The floor takes effect when the scanning-risk-based SPAN margin for a short option position would be below the floor, in which case the floor margin applies instead.

How SPAN fits into the total margin

SPAN plus exposure margin

In Indian markets, the initial margin on a derivatives position is SPAN margin plus exposure margin:

• SPAN margin: the worst-case scenario-based margin computed via the SPAN algorithm.
• Exposure margin: an additional fixed-percentage margin levied by the clearing corporation on top of SPAN, calibrated to provide an extra cushion. For equity F&O, exposure margin is typically a few per cent of the notional contract value, set per product by the clearing corporation.

The retail-trader-visible margin on Kite or any Indian broker’s order window shows both components: “SPAN: Rs X” and “Exposure: Rs Y”. The total initial margin is X plus Y.

Additional margins

Beyond SPAN and exposure, the Indian derivatives margin regime includes several additional layers:

• Mark-to-Market (MTM) margin: covers the daily P&L on the position, settled in cash daily.
• Premium margin: for option buyers, the premium paid is itself a margin component (the maximum loss is the premium, so the premium is the natural margin).
• Additional volatility margins: levied during periods of extreme market stress or for specific products where the clearing corporation determines additional cushion is warranted.
• Event-related margins: levied during specific events (Budget day, election results, major earnings) where the clearing corporation expects elevated volatility.

The total initial margin a retail trader sees on Kite is the sum of all applicable components, not just SPAN.

Peak margin reporting (SEBI 2020)

In November 2020, SEBI introduced peak margin reporting requirements that fundamentally changed how brokers compute and report margin compliance. Under the peak margin regime, the broker must collect the highest of the four intraday margin snapshots (at random time points during the trading session) as the day’s margin requirement. This effectively forced brokers to collect upfront margin equivalent to the worst intraday margin level rather than the end-of-day level.

For SPAN-margined F&O positions, peak margin reporting means that the SPAN margin a trader sees at order placement is the margin they are committed to maintaining throughout the day. A trader cannot rely on intra-day margin reductions (e.g., from price moving favourably) to free up margin for additional positions; the highest required margin during the day must be available.

This created complications for short-option writers in particular: the SPAN margin scenario set includes “underlying down” scenarios, so a put writer’s required SPAN margin can rise materially during an intraday market decline even if the premium received offsets some of the loss. The peak-margin regime requires the broker to ensure the trader has the new, higher SPAN margin available, not just the lower end-of-day requirement.

See Peak margin penalty for the regulatory mechanism that enforces this regime.

SPAN calculator

Most Indian brokers publish a SPAN calculator that lets traders pre-compute the SPAN margin for a planned position before placing the order:

• Zerodha SPAN calculator : a public calculator covering equity, currency, and commodity F&O with multi-leg combinations.
• NSE official SPAN file: the National Stock Exchange publishes the daily SPAN parameter file that brokers use; the same file underlies Zerodha’s and other brokers’ calculators.

For multi-leg option strategies (iron condor, calendar spread, butterfly), the SPAN calculator is particularly useful because the inter-strike correlations produce non-obvious margin requirements that are not predictable from single-leg margins.

See How to calculate SPAN margin on Zerodha for the procedural how-to.

Hedged-position SPAN benefit

The single most consequential SPAN behaviour for retail traders is the hedged-position margin benefit. Selling a naked option requires SPAN margin that covers the worst-case loss; adding a long option as a hedge dramatically reduces the worst-case loss across the scenario set because the long option pays off in the scenarios that hurt the short option.

A retail trader writing a Bank Nifty 50500 call (single naked short) might face an initial margin of approximately Rs 1.5 lakh under typical SPAN parameters. Adding a long Bank Nifty 51000 call as a hedge (creating a bear call spread) reduces the SPAN margin to a small fraction of that, often Rs 25,000-40,000 depending on the strike spacing and market volatility, because the long call caps the worst-case loss.

This benefit explains why hedged option strategies are dramatically more capital-efficient than naked positions on Indian retail brokers. The structural difference is driven by SPAN’s scenario-based recalculation: the offsetting positions reduce the worst-case loss across the scenario set, so the scenario-based SPAN margin drops correspondingly.

For more on the operational mechanics of hedging for margin reduction, see How to use collateral margin for F&O on Zerodha .

SEBI margin framework updates

The Indian SPAN margin regime has been adjusted by SEBI in several material ways since the original 2000 introduction:

• 2008: alignment with the global SPAN 4 specification, including the volatility-scan refinements.
• 2017-18: introduction of more frequent margin parameter updates (intraday SPAN updates for highly volatile products).
• September 2020: introduction of the margin pledge system under which pledged shares and ETFs can be used as collateral for SPAN margin (see SEBI margin pledge rules ).
• November 2020: peak margin reporting (see above).
• October 2024: SEBI’s tightening of F&O entry-barrier rules and related margin adjustments as part of the regulatory response to the 90% retail F&O traders lose money study .

The SPAN methodology itself remains essentially the same; the SEBI updates have largely tightened the parameters, the reporting frequency, and the collection mechanics.

SPAN versus other margin regimes

SPAN versus value-at-risk (VaR)

In Indian cash equity markets, the initial margin is computed using a value-at-risk (VaR) methodology rather than SPAN. VaR for cash equity is the standard-deviation-based statistical measure of the expected worst-case one-day move at a given confidence level (typically 99 per cent), with additional add-ons (extreme-loss margin, ad-hoc margins) layered on top. The Indian VaR-based cash-equity margin is conceptually similar to SPAN (both target one-day worst-case loss at high confidence) but uses a parametric statistical model rather than SPAN’s scenario-array approach.

For F&O positions, SPAN is used because the non-linear payoffs of options (delta, gamma) require a scenario-based approach to capture worst-case loss properly. A parametric VaR would underestimate the worst-case loss on a portfolio with significant option gamma.

SPAN versus TIMS (the legacy alternative)

The Theoretical Intermarket Margin System (TIMS), developed by the Options Clearing Corporation (OCC) in the United States in the 1980s, is the other major scenario-based portfolio-margin algorithm globally. TIMS was used by some Asian exchanges before SPAN became dominant. India never adopted TIMS; the SPAN regime was selected at the time of derivatives launch in 2000.

SPAN versus historical simulation

A third alternative is historical simulation: applying actual historical price and volatility moves to the current portfolio to estimate worst-case loss. Historical simulation has the advantage of capturing real-world tail behaviour but is computationally heavier and less standardised. Indian clearing corporations use historical data in calibrating the SPAN parameters (PSR, VSR) but the margin calculation itself follows the SPAN scenario-array methodology.

Practical implications for retail traders

For an Indian retail F&O trader using a broker like Zerodha :

• Pre-order margin check: use the Zerodha SPAN calculator to compute the margin for the planned position before placing the order.
• Hedge to reduce margin: naked option positions are expensive in SPAN margin; hedged positions can be dramatically cheaper, often by 60-80 per cent or more.
• Watch intraday margin changes: SPAN margin can rise during the day if the underlying moves against the position; the peak-margin regime means the higher requirement must be available.
• Use collateral for margin: pledged shares and mutual fund units can be pledged to provide collateral against SPAN margin, subject to SEBI’s 50:50 cash collateral rule and the haircut on each security.

See How to interpret margin shortfall SMS on Zerodha for the operational handling of margin shortfalls when SPAN requirements increase intraday.

Common misconceptions

• “SPAN margin is the only margin”: SPAN is one component. Exposure margin and other layers add on top.
• “SPAN margin is fixed for a contract”: SPAN margin depends on the entire portfolio, not just the single contract. Hedges materially reduce it.
• “Lower SPAN means less risk”: SPAN measures the worst-case loss under defined scenarios. Lower SPAN for a hedged position reflects the structural offsetting of risks within the portfolio, but the position is still subject to risks outside the scenario set (gap moves beyond PSR, correlation breakdowns).
• “SPAN is the same across all brokers”: SPAN is computed from the clearing corporation’s daily SPAN file, so the underlying SPAN figure is identical across brokers. What can differ is the broker-side enforcement and the margin-collection mechanics.
• “Peak margin is a separate calculation”: peak margin is a reporting and collection regime, not a separate margin calculation. The underlying margin requirement is still SPAN plus exposure plus other layers; peak margin ensures the broker collects the worst-of-intraday level.

See also

• Margin (concept in Indian derivatives)
• Exposure margin
• Extreme Loss Margin (ELM)
• Peak margin penalty
• SEBI margin pledge rules (September 2020)
• How to calculate SPAN margin on Zerodha
• How to interpret margin shortfall SMS on Zerodha
• Zerodha
• Kite (Zerodha trading platform)
• Securities and Exchange Board of India
• National Stock Exchange
• Bombay Stock Exchange
• Multi Commodity Exchange
• NSCCL (NSE clearing corporation)
• ICCL (BSE clearing corporation)

External references

• CME Group: SPAN methodology overview
• Zerodha SPAN calculator
• SEBI margin framework circulars
• NSE clearing corporation (NSCCL) risk management
• BSE clearing corporation (ICCL) risk management
• MCX Clearing Corporation risk management
• Zerodha Varsity Module 4: Futures Trading
• Zerodha Varsity Module 5: Options Theory

References

1. Chicago Mercantile Exchange Group, “SPAN methodology overview,” cmegroup.com, accessed May 2026.
2. NSE Clearing Limited (NSCCL), “Risk management framework,” nseindia.com, accessed May 2026.
3. Indian Clearing Corporation Limited (ICCL), “Risk management framework,” icclindia.com, accessed May 2026.
4. Securities and Exchange Board of India, “Margin framework circulars,” sebi.gov.in, accessed May 2026.
5. Zerodha SPAN calculator and Varsity Module 4 on Futures Trading, zerodha.com, accessed May 2026.
6. SEBI Circular on peak margin reporting, November 2020.
7. SEBI Circular on margin pledge system, September 2020.
8. SEBI Circular on F&O entry-barrier rules and margin adjustments, October 2024.
9. National Stock Exchange of India, “Daily SPAN parameter files,” nseindia.com, accessed May 2026.