S&P, Explained

As Wall Street’s flagship equity benchmark, the S&P 500 tracks the share performance of 500 leading U.S. companies and serves as the default yardstick for assets ranging from pension portfolios to Bitcoin funds. Prediction markets, tokenized index products, and onchain derivatives increasingly borrow its economic exposure and market grammar. Understanding how the index works—and how its risk, return, and valuation regimes spill into crypto—is therefore becoming foundational knowledge for digital-asset traders and builders.

The important shift is conceptual as much as technical. The S&P 500 is no longer merely an external number against which crypto returns are compared. It is becoming an input, an underlying, and sometimes collateral inside digital markets. That convergence creates new access and new combinations, but it does not erase the index’s dependence on corporate earnings, licensed data, traditional market infrastructure, and legal claims outside a blockchain.

What S&P Actually Means

In everyday market discourse, S&P is shorthand for the S&P 500, a stock-market index tracking 500 of the largest and most influential public companies listed on U.S. exchanges. S&P Dow Jones Indices maintains the benchmark. It is constructed as a public-float, capitalization-weighted index, meaning that each company’s weight is proportional to the value of shares available for public trading.

Although the index contains 500 constituents, it captures roughly 80% of the total market capitalization of U.S. public companies. That reach makes it a broad representation of the large-cap equity universe without making it a literal portfolio of every listed company. Its long history and extensive product ecosystem have helped turn it into the principal benchmark against which professional money managers, passive funds, and asset-allocation decisions are judged.

For a crypto audience accustomed to tickers such as BTC, ETH, and SOL, the S&P 500 can be understood as a blue-chip index token implemented through conventional markets. Each constituent issues shares that trade on exchanges such as the NYSE or Nasdaq. The index combines their prices and public-float share counts into a single calculated level under a defined methodology.

That analogy has limits. The index level is not itself an asset, pool of capital, or redeemable token. Investors obtain economic exposure through mutual funds, exchange-traded funds, futures, options, structured products, and newer tokenized or onchain instruments that reference the benchmark. A crypto wrapper can make the exposure portable or programmable, but the wrapper still needs some mechanism connecting its value to the underlying index.

The S&P 500 must also be distinguished from the broader S&P business. The brand spans credit ratings, sector and thematic indices, regional benchmarks, market data, and other financial services. S&P Global’s ratings business evaluates sovereign and corporate debt, while S&P Dow Jones Indices manages benchmarks across markets and asset classes. Bringing the S&P 500 onchain therefore means interfacing with an established system of licensing, index calculation, corporate-action processing, and data distribution—not simply copying a ticker into a smart contract.

The index is also not a static basket. A committee periodically adds and removes companies under criteria that include market capitalization, liquidity, financial viability, and sector representation. S&P 500 exposure consequently means exposure to an evolving portfolio rather than a permanent set of issuers.

That is a meaningful difference from protocol-defined crypto assets. Bitcoin’s issuance rules do not replace weaker miners with more profitable companies. The S&P 500’s methodology, by contrast, continually refreshes the portfolio so that it remains representative of successful large-cap businesses. The gain is an adaptive benchmark; the cost is that historical index performance does not describe an unchanged collection of firms.

The most useful reclassification is therefore this: the S&P 500 is not merely a list of prominent stocks. It is managed financial infrastructure. Its committee rules, data systems, licensing arrangements, and derivative markets are part of the product, even when a user encounters the exposure through a single ticker or token.

PeterMM ✨

Nov 3, 2026

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How The S&P 500 Shapes Traditional Markets

The S&P 500 sits at the center of traditional finance because it is both a performance benchmark and a risk-transfer hub. In performance terms, a large share of U.S. equity funds either tracks it directly or evaluates results relative to it. Tracking error and S&P 500 outperformance are standard ways of judging whether a manager earned a fee or merely delivered expensive market beta.

Passive funds mirroring the index have become core holdings in retirement plans and institutional portfolios. This reinforces the idea that the S&P 500 represents the investable U.S. stock market, even though it excludes smaller companies and weights its constituents unevenly. For crypto, that ubiquity matters because every allocation to BTC, ETH, or tokenized real-world assets carries an opportunity cost: the investor could instead have owned a cheap fund tracking the benchmark.

The index’s role as a risk-transfer hub is equally important. A deep derivative ecosystem has developed around it, including standardized futures, listed options, structured notes, and volatility products. Futures let institutions hedge or obtain broad equity exposure with one instrument. Options let traders express views on direction, volatility, tail risk, and the timing of market moves.

The VIX ecosystem is built from implied volatility in S&P 500 options. In practical terms, the market’s best-known fear gauge is derived from the price investors pay for protection or optionality around this benchmark. Crypto has developed its own options and volatility markets, but much of the design vocabulary—implied volatility, skew, term structure, dealer gamma, and systematic hedging—was established at far greater scale around equity indices.

Valuation measures built around the S&P 500 also anchor debates about bubbles, risk premiums, and expected returns. One widely cited tool is the cyclically adjusted price-to-earnings ratio, or CAPE. It compares the current index price with inflation-adjusted average earnings over the preceding decade, smoothing some of the business cycle’s effect on profits.

Elevated CAPE readings have often been associated with lower subsequent long-run returns, while lower readings have historically offered more attractive entry points. The relationship is not a short-term timing system: an expensive market can become more expensive, and earnings can grow into a valuation. Its value is in setting expectations. A high starting multiple reduces the margin for disappointment because more favorable growth is already reflected in the price.

For crypto investors, traditional equity valuation matters in two directions. Expensive equities can strengthen the relative appeal of scarce or alternative assets, particularly when expected stock returns appear compressed. Yet high equity valuations can also signal abundant liquidity and risk appetite, conditions that often support crypto prices. The same observation can therefore support a relative-value case for Bitcoin while warning that both assets may depend on a friendly macro regime.

Large institutions add another transmission channel. Pension funds, endowments, family offices, and multi-asset managers rebalance between equities and alternatives. If they reduce richly valued equity exposure, some capital may move into digital-asset funds or tokenized assets. But rebalancing can work against crypto as well: a severe equity decline may force investors to sell liquid alternatives to restore portfolio weights or meet cash needs.

Concentration is another critical dimension. Because the S&P 500 is weighted by market capitalization, a small group of mega-cap technology and growth companies can account for a disproportionate share of its movement. A constituent’s importance rises with its market value rather than with an equal vote among 500 firms.

This design rewards the market’s winners and keeps the index economically representative, but it also means diversification by name count can overstate diversification by risk. Earnings or guidance from a dominant technology company can move the broad benchmark and spill into commodities, rates, Bitcoin, and speculative tokens. Crypto traders who ignore S&P 500 concentration are ignoring one of the main engines of cross-asset risk sentiment.

The index also supplies the baseline against which alternative assets advertise outperformance. Private markets, property, collectibles, and sports investments frequently compare their returns with the S&P 500. The comparison is useful only when liquidity, fees, leverage, access, and valuation methods are considered alongside headline performance. An illiquid asset must usually offer something beyond index-like returns to compensate investors for capital that cannot be sold quickly or priced continuously.

That trade-off is central to tokenization. Putting an alternative asset onchain may improve transferability or fractional access, but it does not automatically create deep liquidity or remove the risks of the underlying investment. The S&P 500 remains the accessible benchmark precisely because it combines broad exposure with a mature market structure that many tokenized alternatives have yet to match.

S&P 500 Versus Bitcoin And Crypto

The contrast between the S&P 500 and Bitcoin is often reduced to return versus volatility. Over long periods, Bitcoin has produced extraordinary gains, but it has also experienced much sharper drawdowns and greater dependence on liquidity, leverage, and speculative sentiment. The S&P 500 has generally offered a less explosive path supported by corporate earnings, dividends, and a diversified issuer base.

Historical comparisons can change dramatically with the selected start and end dates. A decade beginning before a major Bitcoin bull market can make BTC look nearly unbeatable; a shorter interval beginning near a cycle peak can show the S&P 500 comfortably ahead. This is not a statistical nuisance. It is the point. Bitcoin’s realized return is unusually sensitive to entry price and cycle position.

The standing comparison illustrates that instability. Over the latest ten-year period in the cited historical series, Bitcoin’s average annualized return was about 66.7%, versus roughly 15.0% for the S&P 500. Over the most recent five-year window, however, Bitcoin’s annualized return was around 6.4%, compared with approximately 13.9% for the index. In one twelve-month interval, the S&P 500 returned about 27.4% while Bitcoin lost roughly 21.3%.

The table does not establish a permanent expected return for either asset. It establishes that horizon selection can reverse the apparent winner. Bitcoin supplied vastly higher returns over the decade shown, while the S&P 500 delivered the stronger recent five-year and one-year experience.

Month-to-month divergences can be just as sharp. Bitcoin has fallen by more than 16% during a month in which the S&P 500 gained around 5%, with capital rotating toward other themes. Such episodes weaken the simplistic claim that both assets are interchangeable expressions of risk appetite. They may share macro sensitivity, but their narratives, investor bases, leverage, and market structure can still drive them apart.

The relationship can invert again during a crypto breakout. Bitcoin may rally while equities grind sideways, leaving the S&P 500 looking like a funding source or hedge rather than the leading risk asset. The comparison is therefore better framed as a changing contest for marginal capital than as a fixed correlation.

Both assets respond to U.S. growth expectations, inflation, real yields, and Federal Reserve policy. When liquidity is abundant and real yields are low, equities and crypto can rise together. During acute stress, both may fall as investors seek cash or short-duration government debt. Between those extremes, Bitcoin’s fixed issuance narrative and crypto-specific cycles can produce more independent behavior.

Bitcoin advocates often argue that scarcity should let BTC outperform equities over long horizons. Michael Saylor has argued that Bitcoin could deliver roughly three times the S&P 500’s return, framing the comparison as approximately 30% annual growth for BTC against about 10% for the index. The claim is a forecast and thesis, not a settled return law. It captures the bargain Bitcoin proponents offer: accept substantially greater volatility and drawdown risk in exchange for the possibility of superior compounding.

The S&P 500 offers a different bargain. Investors accept corporate, policy, and valuation risk in return for ownership claims on profitable businesses spread across sectors. The index can fall severely, but its constituents collectively produce earnings and can distribute dividends. Bitcoin has no analogous cash flow; its valuation depends more directly on scarcity, adoption, liquidity, and the price future buyers will pay.

Speculative behavior further blurs the cultural line between the two markets. S&P 500 options can display extreme call buying, concentrated positioning, leverage, and feedback loops that resemble crypto manias. Dealers hedging options may amplify intraday moves, just as liquidations and funding dynamics can accelerate moves in perpetual futures.

Wintermute once described a sharp Bitcoin rally as resembling a short squeeze more than a healthy breakout, noting that open interest rose as BTC advanced while U.S. equity indices pressed to new highs. The episode’s durable lesson is not that every rally driven by short covering must fail. It is that price direction alone does not reveal the quality of demand. Open interest, leverage, spot participation, and the broader equity backdrop help determine whether a move has stable support.

Ethereum has likewise been interpreted through equity-market analogies. Tom Lee has compared parts of Ethereum’s bottoming process with the S&P 500’s recovery after the 1987 crash. Such comparisons can help investors reason about reflexive selling and recovery after violent declines, but they do not make the assets structurally identical. Ethereum’s economics, technology risks, and adoption path differ from those of a diversified equity index.

The practical conclusion is that the S&P 500 and crypto are neither clean substitutes nor reliable diversifiers in every regime. They are competing stores of risk capital whose correlation changes with macro conditions and market-specific catalysts. A portfolio containing both can improve its opportunity set, but diversification should be measured under stress rather than inferred from a calm-period correlation.

Binary Options, Event Contracts, And Prediction Markets

One of the clearest intersections between the S&P 500 and crypto culture is the growth of markets that turn future index levels into yes-or-no propositions. Conventional futures provide linear exposure: gains and losses vary with the distance the index moves. Standard options provide nonlinear exposure around a strike. Binary contracts instead pay a fixed amount when a stated condition is met and nothing when it is not.

That structure resembles crypto prediction markets, where traders buy outcome shares and interpret their prices as implied probabilities. A contract trading at 30 cents may be read as approximately a 30% market-implied chance of paying one dollar, although fees, liquidity, market frictions, and risk preferences can separate price from a pure forecast.

Kalshi offers S&P 500-linked event contracts on questions such as where the index will close or whether it will cross a specified level. One market referenced whether the index would trade above 7,799.99 during 2026. At one point, the Yes side traded around 79 cents, implying a market probability near 79% before accounting for frictions.

The attraction is simplicity. A trader does not need to reason directly about option delta, volatility surfaces, or the path of a futures position. The cost of that simplicity is a discontinuous payoff. Finishing barely on the wrong side of the stated condition can turn a nearly correct macro view into a total loss on the contract.

Event contracts can be used for speculation or hedging. Someone with broad equity exposure in a retirement account could purchase a contract that pays under an adverse index outcome. The hedge is easy to understand, but it is less precise than a continuously adjusting futures or options position because protection depends on the exact event definition.

Robinhood also offers event contracts in which users select Yes or No and receive one dollar if the chosen outcome is correct or zero if it is wrong. Access requires a dedicated derivatives account and depends on eligibility and jurisdiction. The cents-based interface feels familiar to users of prediction markets or sports-style probability displays, even though the instruments sit within a derivatives framework.

Polymarket carries the idea into an onchain setting. Its S&P-related markets can ask whether the index will outperform Bitcoin or gold over a defined period. Outcome shares are tokenized, and settlement depends on the market’s resolution rules and identified data sources. The chain changes custody and settlement mechanics; it does not eliminate the need for an authoritative answer about what occurred.

Coinbase has also introduced prediction-market-style contracts with binary one-dollar-or-zero-dollar payoffs. The broader convergence matters more than any single interface. Regulated brokers, crypto exchanges, and onchain markets are arriving at a common consumer product: a probability-like price attached to a plainly worded event.

Charles Schwab has reportedly considered working with Cboe on retail-facing yes-or-no products tied to daily S&P 500 outcomes. Any such product would bring prediction-market logic into established brokerage infrastructure rather than onto a decentralized network. That distinction affects custody, regulation, availability, and settlement, but it does not substantially change the user’s basic decision.

Hedgebook supplies another layer by mapping stocks in the S&P 500 to a set of macro event contracts on Kalshi. The idea is to translate a portfolio’s economic exposures into simpler event-based hedges. This is best understood as hedging middleware: it sits between what the investor owns and the contracts available for managing the associated risks.

That translation can broaden access, but it also introduces model risk. A stock’s response to inflation, rates, or an index move is not fixed. Mapping a company to a macro contract is an estimate of exposure, not a guarantee that the hedge will work when needed.

For crypto users, the deeper point is that prediction-market mechanics are escaping the prediction-market category. Binary S&P 500 products are a new interface for macro risk transfer. They make complex market views legible to more users, while compressing those views into all-or-nothing settlement conditions that can be more unforgiving than their simple presentation suggests.

Onchain S&P Exposure: Tokens, Funds, And Perpetuals

Prediction markets let traders wager on index outcomes. Tokenized funds and perpetuals go further by trying to reproduce continuing economic exposure to the S&P 500 itself.

deSPXA is a tokenized asset associated with Centrifuge on Base that gives eligible non-U.S. users exposure to the Anemoy S&P 500 Index Fund. The underlying fund uses an S&P-licensed benchmark and is managed by Janus Henderson. The token places a representation of the fund exposure on an Ethereum Layer 2, where it can be held in a wallet and potentially integrated with decentralized applications.

The structure matters because the token is not the same thing as the underlying shares. It is a claim routed through a fund, issuer, legal structure, custody arrangement, and blockchain representation. The gain is programmability and portability. The cost is an additional stack of counterparties and operational dependencies between the wallet balance and the equities that generate the return.

Centrifuge describes assets of this kind as productive real-world assets. The ambition is not merely to display an index price onchain, but to let the exposure function as collateral, participate in lending markets, or support structured products. A passive investment then becomes part of DeFi’s balance sheet.

That reclassifies tokenized equities from wrapped brokerage products into potential financial primitives. If a token can be borrowed against, combined with stablecoins, or placed into an automated strategy, its usefulness exceeds simple price tracking. Yet composability can also multiply risk: a problem in the token, lending market, oracle, bridge, or underlying fund can propagate through every protocol that treats the asset as collateral.

At the derivatives layer, an S&P 500 perpetual on Hyperliquid provides leveraged, digitally native exposure without a fixed expiry. Funding payments help keep the contract aligned with its reference level. Unlike a tokenized fund claim, a perpetual swap does not confer ownership of an equity portfolio. It creates a derivative payoff between market participants.

That distinction determines what the user owns. A fund token aims to transmit the economics of an offchain investment vehicle. A perpetual transmits price exposure through collateral, funding, and settlement rules. Both may follow the same index, but they have different counterparty paths and failure modes.

An always-open perpetual also confronts a basic timing mismatch. Crypto trades continuously, while the cash equities underlying the S&P 500 observe exchange hours. During nights, weekends, and holidays, the derivative market can continue repricing expectations even though the primary constituent markets are closed. That creates useful hedging capacity, but it can also produce wider uncertainty about fair value until traditional markets reopen.

Official data and licensing are important because a marquee index is intellectual property as well as a calculation. Licensed products can use recognized benchmark infrastructure and formal data relationships. Unlicensed products may attempt to approximate the exposure, but users then carry additional uncertainty about methodology, corporate actions, data integrity, and legal durability.

The central onchain promise is a unified portfolio surface. A user could hold BTC, ETH, a token representing equity exposure, and stablecoin collateral in one wallet; borrow against one asset; and hedge another through perpetuals. This makes the boundary between crypto and equities feel thinner at the interface.

The economic boundary remains. S&P 500 returns still originate in U.S. companies and traditional securities markets. Tokenization changes how the claim is represented, transferred, and combined. It does not move corporate earnings onto a blockchain or make legal enforceability unnecessary.

S&P 500 As Collateral, Benchmark, And Foil

Real-world assets are becoming an important part of DeFi’s search for collateral and sustainable yield. U.S. government debt, private credit, and equity-index products can introduce cash flows and risk factors that differ from native crypto assets. The S&P 500 is especially useful because it can serve simultaneously as investable exposure and as the benchmark used to judge the surrounding strategy.

A lending protocol accepting S&P-linked collateral would need to consider its volatility, liquidity, operating hours, legal redemption path, and correlation with crypto. It might compare loans secured by equity exposure with loans backed by Treasury tokens, stablecoins, ETH, or liquid-staking assets. Each collateral type offers a different balance of upside, stability, and liquidation risk.

Calling an S&P-linked token pseudo-stable collateral would be misleading if it obscured equity risk. Unlike a stablecoin, the asset can fall substantially during a bear market. Unlike many governance tokens, however, its economics are connected to the earnings and dividends of hundreds of companies. It occupies a middle ground: growth-sensitive collateral with deeper offchain fundamentals, but without a fixed redemption value.

That profile can be valuable when equities rise while crypto stagnates. Collateral linked to the S&P 500 may retain or gain value even as a crypto-specific drawdown pressures native tokens. During systemic stress, however, both markets can fall together. A protocol that assumes equity exposure will always diversify crypto collateral may discover that the correlation rises precisely when liquidations matter most.

Sports assets offer a useful comparison. Historical analyses have reported that professional sports investments outperformed the S&P 500 by roughly three percentage points annually over six decades. Such performance can appear attractive, but access, valuation frequency, governance rights, and liquidity differ radically from a public index fund.

Tokenization advocates argue that fractional ownership could open previously restricted assets to more investors. The strongest version of that case is about access and transferability, not guaranteed alpha. A tokenized sports interest can still be illiquid, difficult to value, and dependent on contractual rights. The S&P 500 remains the benchmark because it offers a liquid and widely available alternative against which those complications must earn their keep.

The index also serves as a foil for crypto’s political and economic narratives. Observations that equity indices can reach record levels while household finances remain strained point to the gap between asset prices and lived economic conditions. Criticism of index concentration similarly reflects concern that a small group of large companies captures an outsized share of market value.

Crypto critiques that concentration while reproducing versions of it. A few networks, stablecoins, exchanges, and protocols often dominate activity. Tokenizing the S&P 500 is therefore neither a clean rejection of Wall Street nor simple capitulation to it. It is an attempt to use established financial exposure as raw material for a more programmable market structure.

The trade-off runs both ways. DeFi gains assets tied to productive companies, deeper benchmark infrastructure, and familiar risk factors. Traditional exposure gains continuous transfer and composability. In exchange, users inherit both systems’ vulnerabilities: offchain legal and custodial dependencies from conventional finance, plus smart-contract, oracle, leverage, and liquidation risks from crypto.

Practical Uses For Crypto Traders

For active crypto traders, the S&P 500 is a signal, hedge, and relative-value leg. Desks watch intraday and multi-day index moves as indicators of global risk appetite. Sustained equity rallies can support BTC and altcoin flows, while sharp drawdowns may foreshadow deleveraging in crypto perpetuals.

The relationship is probabilistic rather than mechanical. A trader should not assume that a one-percent S&P 500 move dictates a fixed Bitcoin response. Rolling correlations, beta estimates, volatility, and market-specific catalysts all change. The value of the index is that it supplies context for positioning, not an automatic trade.

Onchain S&P 500 perpetuals allow traders to place equity-index risk beside BTC and ETH positions within a crypto-oriented collateral system. A fund could go long Bitcoin and short the S&P 500 to express a view that BTC will outperform equities. The gross directions are easy to state; constructing a genuinely beta-neutral trade requires estimating changing sensitivities and managing funding costs.

A market maker exposed to tokenized real-world assets might maintain an index hedge to reduce broad equity risk. A crypto portfolio manager could use the same instrument to separate a Bitcoin thesis from a general risk-on view. If BTC rises only because all risky assets are rising, a short equity leg can reveal how much crypto-specific performance remains after the common factor is removed.

Continuous trading also creates a weekend use case. When cash equity markets are closed, an onchain index derivative can respond to geopolitical or macro information. Traders may use it to hedge expected opening gaps. The benefit is immediate risk transfer; the cost is that weekend liquidity and price discovery may be thinner or more uncertain than during regular equity hours.

Event contracts provide a simpler but coarser alternative. An investor concerned that a broad equity decline will pressure crypto could buy a contract paying under a specified adverse S&P 500 outcome. The premium defines the maximum loss, but the protection applies only if the exact resolution condition is satisfied.

Markets asking whether the S&P 500 will outperform Bitcoin convert an asset-allocation thesis into a single tradable outcome. That can be cleaner than maintaining two leveraged positions, yet it removes control over path, timing, and interim risk. A relative-performance contract and a long-short portfolio may share a destination while behaving very differently before settlement.

Retail-friendly binary products deserve particular caution. Because a contract ends at one dollar or zero, a small shift in probability near expiration can generate a large percentage move in price. The familiar benchmark underneath does not make the payoff gentle. A binary contract on the S&P 500 can be as unforgiving as a volatile crypto position when sizing and settlement conditions are misunderstood.

Developers face a separate set of practical questions. They must decide whether a product represents fund ownership, synthetic price exposure, a binary outcome, or collateralized debt. They must source dependable market data, account for corporate actions and market closures, and determine whether use of the S&P name and index values requires licensing.

Users can apply an observable test to any S&P-linked crypto product: identify what they legally own, where the underlying assets or collateral sit, which price source controls settlement, what happens while cash markets are closed, who can redeem, and which failure would prevent payment. If those answers are unclear, a familiar ticker is disguising an unfamiliar risk stack.

Outlook

The S&P 500 remains the central benchmark of U.S. large-cap equities, but its relationship with crypto is becoming more structural. It is a competitor to Bitcoin for long-term capital, a barometer for macro risk, an underlying for prediction markets, and an increasingly programmable exposure in onchain finance.

The right category is not simply tokenized stocks. It is benchmark infrastructure crossing settlement systems. Funds, perpetuals, and event contracts can all reference the same index while giving users materially different claims. Treating them as interchangeable because they display the same label is the central analytical mistake.

For traders, understanding the S&P 500 means understanding the opportunity cost of crypto exposure, the macro conditions shared by both markets, and the instruments available for hedging one against the other. For builders, it means respecting the less visible machinery beneath the benchmark: methodology, data, licensing, custody, corporate actions, market hours, and legal enforceability.

Tokenization expands access and composability, but it also lengthens the chain connecting a user to the underlying economics. A conventional index fund already relies on issuers, exchanges, custodians, administrators, and benchmark data. An onchain wrapper can add smart contracts, oracles, bridges, lending markets, and liquidation engines. More programmable does not necessarily mean less intermediated.

The S&P 500 will therefore persist as both yardstick and building block: the baseline return crypto seeks to beat, the macro factor traders try to hedge, and a source of equity exposure that developers increasingly want to make portable across digital markets.

If onchain products can preserve clear ownership, dependable pricing, usable liquidity, and resilient settlement, S&P 500 exposure may become a durable component of crypto portfolios. If those links remain opaque, the tokenized benchmark will offer a familiar name over a risk structure users do not actually understand.