Jerry Xiong / Intelligence Brief
Commodities · Basis · Freight
Commodity Markets · Basis · Carry · Logistics

When the Benchmark No Longer Explains Everything: Is Non-Benchmark Risk Rising in Commodity Markets?

Benchmark prices still carry the price discovery that matters most. But in some market phases, the final P&L of a physical trade is decided more and more by what sits outside the benchmark: physical differentials, freight, financing and time. The question is not whether futures have failed. It is how much of a real trade’s risk the benchmark still explains, and whether that share is shrinking.

商品市场 · Basis · Carry · 物流

当基准价格不再解释全部:
商品市场的“非基准风险”正在上升吗?

基准价格仍然承担最重要的价格发现。但在某些市场阶段,一笔实货交易的最终盈亏,越来越多地由基准之外的因素决定:实货价差、运费、融资与时间。真正的问题不是“期货是否失效”,而是一笔真实交易的风险中,还有多少能够被 benchmark 解释,这个比例是否正在下降。

This article represents the author’s personal views only. It is a general discussion of the risk structure of commodity markets, not investment, trading or hedging advice, and it does not describe the positions, strategies or business information of any organisation the author works for.

Watching commodity markets over recent weeks, one question keeps returning: how much of the economic outcome of a real physical trade does the public benchmark price still explain? It is tempting to compress this into “futures have decoupled from the physical market”. That is not accurate. Futures and the other benchmark markets still perform the price discovery that matters most. What deserves discussion is narrower and, I think, more important: in certain market conditions, the final profit or loss of a physical cargo may be determined more and more by factors that sit outside the benchmark.

None of this is new. For a large physical trader, regional differentials, freight, timing and optionality have always been core sources of both margin and risk. What is worth watching is whether three things are rising at once:

If they are, the risk structure of commodity markets is changing in a way that deserves attention.

A lower benchmark does not mean a lower delivered cost

A commodity is not a number on a screen.

It has to be produced, stored, shipped, financed and insured, and delivered at a specific time and in a specific place. A physical trade can therefore be separated into three parts:

Delivered Economics = Benchmark + Physical Differential + Carry and Transaction Costs
BenchmarkPublic reference price
Physical differentialLocation · quality · delivery window · local supply and demand
Carry and transaction costsFinancing · insurance · storage · demurrage · other costs of the trade

The physical differential is the premium or discount to a defined benchmark for location, quality, delivery window and local supply and demand. Carry and transaction costs cover financing, insurance, storage, demurrage and the other costs of doing the trade.

One caveat. Quotation conventions differ across markets: some delivered quotations already embed the freight leg. Whether freight shows up inside the differential or as a separate cost depends on the benchmark, the delivery basis and the contract terms.

The point is not to argue about which column a given cost belongs in. The point is to avoid one specific mistake:

Once price differences and transaction costs are mixed together, the risk analysis loses its meaning.

Hormuz, September 2026: the flow came back, the cost did not

The Hormuz disruption of September 2026 is a clean example.

As Reuters columnist Ron Bousso wrote on 21 September, suppliers have kept crude moving through ship-to-ship transfers in the Gulf of Oman. Kpler expects around 2.5 million barrels per day to be loaded via such transfers in September, up from 1.4 million barrels per day in August. But the substitute logistics are expensive: benchmark VLCC freight rates for Gulf crude to China have surged above $30 per barrel, according to LSEG data cited in the same column.

That points to a distinction worth keeping sharp:

If a recovery in supply compresses the scarcity premium, the benchmark can ease. At the same time, freight, insurance, voyage time, inventory cycles and the financing tied up in cargoes can all stay elevated. The result is entirely possible:

Benchmark down. Delivered economics not better.

That does not make the benchmark “wrong”. It correctly reflects the part of the market it represents. The risk carried by a real trade is simply more complex than any single benchmark.

Basis did not suddenly become important. It may be becoming less stable

Physical traders have never traded only the outright price.

Location, quality, timing, freight and optionality have long been where value is made in commodity trading. So describing today’s market as “we used to watch only the price, and now we suddenly have to watch basis” does not match how the industry actually works.

The more precise statement is:

There are historical precedents. What deserves study is whether the current episode shows three things together:

  • greater amplitude;
  • longer persistence;
  • more synchronised occurrence across markets.

If this is a short-lived war shock, the phenomenon should fade as logistics normalise.

If longer-term forces sit behind it, such as falling supply-chain redundancy, geopolitical fragmentation, higher financing costs and constrained transport infrastructure, then it may be more than a temporary anomaly.

Hedging is not limited to the commodity price, but hedgeable is not the same as hedged

A second over-simplification needs avoiding here.

Many non-outright risks do have derivative instruments. Freight can be managed with forward freight agreements or freight futures: the Baltic Exchange has long published FFA-related indices and forward curves, and exchanges such as CME list freight futures and options. Interest-rate risk has its own derivatives. Some regional and product spreads trade as swaps or spread instruments.

So the real problem is not:

“Physical risk is broad, but the financial market can only hedge the commodity price.”

It is:

The practical constraints come from familiar places:

  • contracts that do not match the actual exposure;
  • thin liquidity in some markets;
  • tradable tenors shorter than the business cycle;
  • bid-ask spreads that widen under stress;
  • margin and liquidity requirements that themselves consume cash.

Even where a hedging instrument exists, that does not mean a company can remove the risk cheaply, for long enough, and completely. Which is why:

The firm ultimately faces a set of related risks, not all of which are tradable.

What should be studied is risk contribution, not price gaps

To turn this observation into a testable proposition, the simplest approach is not to regress one price level on another.

Commodity prices are typically non-stationary. A regression in levels produces an R² that looks impressive and means little. A better starting point is the variance of price changes.

ΔP_delivered = ΔB + ΔN ΔB change in the benchmark ΔN change in the physical differential and other quantifiable non-benchmark factors

Then:

Var(ΔP_delivered) = Var(ΔB) + Var(ΔN) + 2·Cov(ΔB, ΔN)

What matters most here is not only the two volatilities. It is the third term, the covariance between them.

The object of study is risk contribution, not the gap between two prices.

Why the covariance matters

Because non-benchmark factors do not always move in the same direction as the commodity price.

In a strong demand cycle:

commodity price rises→ trade volumes rise→ tonnage tightens→ freight rises

Here Cov(ΔB, ΔN) > 0. The non-benchmark factors amplify the outright price shock.

Under some supply shocks the opposite can happen:

supply disruption→ commodity price rises→ shippable volume falls→ tonnage demand on some routes falls

Here some logistics factors may show Cov(ΔB, ΔN) < 0, partly offsetting the benchmark move.

So “basis volatility has increased” is not enough on its own. What determines portfolio risk is:

A simple monitoring ratio, not a new theory

For day-to-day monitoring, a very simple indicator can be constructed:

Diagnostic

Non-Benchmark Volatility Ratio (NBVR)

非基准波动率比

NBVR = σ(ΔN) / σ(ΔB). A ratio for continuous tracking, not a new risk theory.

ReadingMeaning
NBVR ≈ 0.25Non-benchmark factors move far less than the benchmark. The outright price is still the main source of risk.
NBVR > 1Non-benchmark factors now move more than the benchmark itself.

NBVR cannot be used alone. It has to be read together with Corr(ΔB, ΔN): the same ratio means something very different in a positively correlated regime and in a negatively correlated one.

None of this is a new theory of risk. It belongs to the same family of variance decomposition as the minimum-variance hedging and hedge-effectiveness literature. Louis Ederington’s 1979 paper, The Hedging Performance of the New Futures Markets, already measured hedging effectiveness as the reduction in variance. The value of NBVR is more modest:

The real question is not whether futures have failed

By this point the question has changed.

Do not ask:

“Have futures prices decoupled from the physical market?”

Ask instead:

For commodity firms these two questions matter a great deal. If non-benchmark risk keeps expanding, a risk-management framework built only around

futures price curve outright exposure

is no longer enough. It also has to watch, continuously:

physical differential freight financing inventory duration storage liquidity operational constraints

What ultimately has to be managed is not a price.

It is a set of interlinked economic risks.

Conclusion

Basis, logistics and financing were never new problems in commodity trading. Large physical traders have managed them for as long as the business has existed.

So the thing to watch is not:

“Basis has suddenly become important.”

It is:

If that trend holds, reading commodity markets from the headline price alone will become less and less adequate.

The benchmark still carries the most important price discovery. But the final outcome of a real trade depends increasingly on where the price is formed, how the commodity moves, how long capital is tied up, and whether the risk can be transferred at all.

I would compress the observation into one sentence:

What is worth tracking is not whether futures have failed, but how much economic weight the risk outside the benchmark now carries.

This article is a general discussion of the risk structure of commodity markets. It is not investment, trading or hedging advice for any specific market, instrument or organisation.
本文仅代表作者个人观点,是对商品市场风险结构的一般性讨论,不构成投资、交易或套期保值建议,也不涉及任何任职机构的持仓、策略或经营信息。

最近观察商品市场时,我越来越关注一个问题:公开市场上的基准价格,究竟还能解释多少真实交易的经济结果? 这很容易被概括成“期货与实货脱节”,但这种说法并不准确。期货和其他基准市场仍然承担着重要的价格发现功能。真正值得讨论的,是在某些市场环境下,一笔实货交易的最终盈亏,可能越来越多地由基准价格之外的因素决定。

这并不是一个新现象。对大型实货贸易商而言,地区价差、运输、时间和可选性本来就是利润和风险的重要来源。真正值得观察的是:

如果答案是肯定的,那么商品市场的风险结构可能正在发生值得重视的变化。

基准价格下降,不代表实际交付成本一定下降

商品不是屏幕上的一个价格。

它最终必须被生产、储存、运输、融资、保险,并在特定时间和地点交付。因此,一笔实货交易可以更清楚地拆成三个部分:

Delivered Economics = Benchmark + Physical Differential + Carry and Transaction Costs
Benchmark公开市场基准价格
Physical Differential地点 · 品质 · 交货期 · 供需形成的 premium / discount
Carry and Transaction Costs融资 · 保险 · 仓储 · 滞期 · 其他交易运营成本

这里需要特别说明:不同市场的报价习惯并不完全一样。例如某些 delivered quotation 本身已经包含运输影响。因此,freight 是否表现为 basis 的一部分,取决于具体的 benchmark、delivery basis 和合同条款。

关键不是争论某个成本究竟应该放在哪一栏,而是:

否则价格差异和交易成本会被混在一起,风险分析反而失去意义。

2026 年 9 月的霍尔木兹:货流回来了,成本没有回来

2026 年 9 月的霍尔木兹运输扰动就是一个典型案例。

Reuters 专栏作者 Ron Bousso 在 9 月 21 日的文章中写道,供应方通过 ship-to-ship transfer 维持着原油流动:据 Kpler 估计,9 月阿曼湾经 STS 转运装载的原油约为 250 万桶/日,高于 8 月的 140 万桶/日;但这种替代物流体系的成本非常高,据同一篇专栏引用的 LSEG 数据,海湾至中国的 VLCC 基准运费已升至每桶 30 美元以上。

这说明一个重要问题:

供应恢复可能压低 commodity scarcity premium,从而令基准价格回落;但与此同时,运输成本、保险、航程时间、库存周期以及融资占用,都可能保持在高位。于是完全可能出现:

Benchmark 下降, Delivered Economics 却没有同比改善。

这并不意味着基准价格“错了”。基准价格正确反映的是它所代表的那一部分市场。问题只是:真实交易所承担的风险,比一个 benchmark 更加复杂。

这不是 Basis 突然变重要,而是它可能正在变得更不稳定

实货贸易商从来不会只交易 outright price。

Location、quality、timing、freight 和 optionality 长期以来都是商品贸易的重要价值来源。因此,把今天的市场描述成“过去只看价格,现在突然要看 basis”,并不符合行业实际。

更准确的说法是:

历史上类似情况并非没有出现。真正值得研究的是,这种状态是否正在同时呈现:

  • 更大的幅度;
  • 更长的持续时间;
  • 更多市场之间的同步发生。

如果只是短期战争冲击,那么物流恢复以后,这种现象应该逐渐消退。

但如果背后还有更长期的因素,例如供应链冗余下降、地缘政治碎片化、融资成本提高、运输基础设施约束,那么它就可能不仅仅是一个短期异常。

对冲并不是“只能对冲商品价格”,但可对冲不等于已对冲

这里也需要避免另一个过度简化。

现实市场中,很多非 outright 风险本身就存在衍生品工具。例如,freight 可以通过 FFA 或 freight futures 进行管理:Baltic Exchange 长期发布 FFA 相关指数和远期曲线,CME 等市场也提供多种 freight futures 和 options;利率风险可以使用 interest-rate derivatives;部分地区价差和产品价差也存在相应的 swap 或 spread instruments。

所以真正的问题不是:

“Physical 风险很多,但金融市场只能 hedge commodity price。”

而是:

实际约束可能来自:

  • 合约与实际敞口并不完全匹配;
  • 某些市场流动性有限;
  • 可交易期限短于实际业务周期;
  • 极端市场下 bid-ask spread 扩大;
  • margin 和 liquidity requirement 本身增加资金压力。

因此,即使理论上存在 hedging instrument,也不意味着企业可以低成本、长期、完整地消除相关风险。这也是为什么:

因为企业最终面对的是一组相关但并不完全可交易的风险。

真正应该研究的是“风险贡献”,而不仅是价格差

如果想把这个观察变成一个可验证的研究命题,最简单的方法并不是直接拿两个价格水平做回归。

商品价格通常具有明显的非平稳特征。直接用价格水平回归,很容易得到看似很高、但经济意义有限的 R²。更合理的起点,是研究价格变化的方差构成。

ΔP_delivered = ΔB + ΔN ΔB benchmark 的变化 ΔN physical differential 及其他可量化 非基准因素的综合变化

那么:

Var(ΔP_delivered) = Var(ΔB) + Var(ΔN) + 2·Cov(ΔB, ΔN)

这里最重要的,其实不仅是两个波动率,还有第三项:它们之间的协方差。

研究对象是风险贡献,而不仅是两个价格之间的差。

协方差为什么重要?

因为非基准因素并不总是和 commodity price 朝同一个方向移动。

例如在需求强劲的周期中:

商品价格上涨→ 贸易量增加→ 运力趋紧→ freight 上涨

这时候 Cov(ΔB, ΔN) > 0,非基准因素是在放大 outright price shock。

但在某些供应冲击下,情况可能相反:

供应中断→ 商品价格上涨→ 实际可运输货量下降→ 部分航线运力需求下降

这时候某些物流因素可能 Cov(ΔB, ΔN) < 0,从而部分抵消 benchmark 波动。

因此,仅仅说“basis volatility 增加了”仍然不够。真正决定 portfolio risk 的是:

可以建立一个简单的监控指标,但不要把它当成新理论

为了日常监控,可以构造一个很简单的指标:

诊断指标

非基准波动率比(NBVR)

Non-Benchmark Volatility Ratio

NBVR = σ(ΔN) / σ(ΔB)。一个便于持续跟踪的比率,不是新的风险理论。

读数含义
NBVR ≈ 0.25非基准因素的波动明显小于 benchmark,outright price 仍然是主要风险来源。
NBVR > 1非基准因素的波动已经超过 benchmark 本身。

但 NBVR 不能单独使用。还应该同时观察 Corr(ΔB, ΔN):因为相同的 NBVR,在正相关和负相关环境下,对最终风险的影响可能完全不同。

这种思路本身也不是新的风险理论。它和长期以来 minimum-variance hedging 及 hedge-effectiveness 研究属于同一类风险分解思想。Louis Ederington 早在 1979 年的经典论文《The Hedging Performance of the New Futures Markets》中,就系统讨论了通过方差下降衡量套期保值效果的方法。NBVR 的价值更多在于:

真正的问题不是“期货是否失效”

讨论到这里,问题其实已经发生了变化。

不应该问:

“期货价格是不是已经和实货脱节?”

更有意义的问题是:

这两个问题对商品企业尤其重要。因为如果 non-benchmark risk 持续扩大,那么风险管理体系就不能只围绕:

futures price curve outright exposure

展开,还需要持续观察:

physical differential freight financing inventory duration storage liquidity operational constraints

最终需要管理的,并不是一个价格。

而是一整套相互关联的经济风险。

结语

Basis、物流和融资从来都不是商品贸易的新问题。大型实货贸易商长期以来就在管理这些风险。

因此,目前真正值得关注的并不是:

“Basis 突然变重要了。”

而是:

如果这个趋势成立,那么未来理解商品市场,仅仅看 headline price 会越来越不够。

Benchmark 仍然负责最重要的价格发现。但真实交易的最终结果,越来越取决于:价格在哪里形成、商品如何移动、资金被占用多久,以及风险能否被有效转移。

所以我更愿意把这个观察总结成一句话:

真正值得持续追踪的,不是“期货是否失效”,而是:Benchmark 之外的风险,正在占据多大的经济权重?

本文仅作商品市场风险结构的一般性讨论,不构成针对任何具体市场、工具或机构的投资、交易或套期保值建议。

Jerry Xiong writes on AI governance, markets and operational risk for finance and business decision-makers.熊焱|为财务与企业决策者解读 AI 治理、市场与运营风险。