A potential adrenaline shot for the industry, SGX’s 65% Fe derivative presents more dynamic trading opportunities for the iron ore market.

We examine how market fundamentals drive price spreads between grades of iron ore, and analyse the extent to which sector-related news and data may act as trading cues.

Iron ore

A new dimension

2

The breakneck pace ofchange in the iron oremarket certainly keepsus on our toes

The China factor

When China unveiled its 13th 5-year plan at the start of 2016 few believed that the

targets laid out to reform its steel industry were realistic or achievable. But three years

on and the country’s steel industry is all but unrecognizable to its pre-2016 look – over

150Mt of official steelmaking capacity having been cut, on top of some 140Mt of illegal,

low-quality induction furnace production. The tougher environmental protection law

that came into effect at the start of 2016 has also put mills under more stringent

operating requirements – something that’s made blue skies in Beijing no longer an

Instagram-worthy occurrence.

Despite the extensive cuts, China’s steel output – at least the ‘official’ on-the-books

production – has continued to touch record levels. Crude steel production was up

6.46% year-on-year in the January-September period of 2018 for example, as remaining

capacity operates at much higher utilization rates. With strong downstream demand,

mills have up until very recently been incentivized to raise efficiency by the handsome

profit margins available on most steel products. These higher efficiency rates have been

achieved by consuming higher-purity raw materials.

Less than four years ago analysts were predicting that the continued deterioration of global ore grades could see the SGX’s newly-launched 58% Fe contract eventually challenge the 62% as the market’s benchmark. But that was then. Radical changes imposed from the start of 2016 by the world’s super-consumer have ensured the industry that recovered from the last cyclical downturn is a very different beast to the one that went into it. The high-grade iron ore market’s increased separation from the lower-grade segments, both in value and correlation, has prompted SGX to launch a new derivative contract.

Cash-settled against the Fastmarkets MB 65% Fe Brazilian Fines Index – the benchmark for the global high-grade fines market – the new derivative fulfils the market’s need for a tool to manage price exposure to high grades ores.

3

Steelmaker profit margins

The profitability of Chinese steel mills over time shows a strong positive correlation with

the size of the 65-62% Fe Index differential (Figure 2). The reason is that the higher silica

and alumina levels in the 62% Index specification (Figure 1) increase blast furnace slag

volume, lowering hot metal yields and limiting steel production rates. Higher quality

ores also raise efficiency by forming stronger (lower reduction-degradation index) sinter,

which increases burden permeability and improves flow of reducing gases.

Fig. 1: Major Gangue Components: 65 vs 62% Fe Indices

The levels of iron ore’s major gangue components – silica, alumina and phosphorus – are lower in the 65% Fe index specification than in the 62%

In a negative margin scenario (such as in 2015) lower productivity can help minimize

losses, but in a profitable market inefficiency represents an opportunity cost. Fluctuations

in inter-grade price spreads reflect this reactivity to different market conditions.

Fig. 2: Mill Margin Proxy vs Fastmarkets MB 65-62% Fe Index Spread

Proxy indicators of HRC and rebar production profit margins in China demonstrate a clear positive correlation with the movement of the 65-62% Fe index differential. Source: Fastmarkets MB, Steelhome (Mill margin proxies calculated using domestic prices of rebar & HRC (East China), coke & iron ore)

0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0%

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Rebar Magin Proxy (yuan/tonne) [LHS]

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65-62% Fe Index $-Differential [RHS]

Factors driving inter-grade spread volatility

Source: Fastmarkets MB

4

Stricter environmental regulation

On top of the profitability incentive, Chinese mills have also been encouraged to use

higher grade ores as a response to stricter environmental policies. Not only do lower

slag volumes improve blast furnace productivity, they also lower coke consumption and

reduce pollution. As slag has a higher melting temperature than iron, extra fuel in the

form of coke is required to maintain optimal temperature when operating with high slag

rates. The increased coke use elevates a mill’s emissions, which can result in penalties and

possible shut-downs.

Metallurgical coal prices

Beyond the threat of punishment for exceeding emissions thresholds, mills also have an

obvious financial motivation to minimize coke consumption, particularly when prices

are high. With other factors in balance, we would expect therefore to see a positive

correlation between the price of coking coal (the pre-cursor to coke) and the 65-62% Fe

spread (Figure 3).

Fig. 3: CFR China Premium Hard Coking Coal Price vs 65-62% Spread

Higher coke prices incentivize increased usage of higher quality ores, which decrease blast furnace slag rates. The higher metallurgical coal prices of recent years have been another factor contributing to wider quality spreads in iron ore.

Steel quality and production efficiency

Another policy-led factor that has contributed to the favorability of higher grade ores has

been the government’s push to focus more on the quality of steel the country produces as

opposed to just the quantity.

This effort has seen the mass shut-down of small-scale, scrap-fed induction furnaces that

were illegally producing sub-standard steel (mainly rebar). It goes further though with

‘capacity swap’ quotas encouraging mills to replace smaller furnaces with bigger, more

efficient ones – the share of ‘large’ (>4,000 cubic meters) blast furnaces having increased

from 15% in 2013 to over 22% in 2018. Larger blast furnaces are more energy-efficient and

tend to produce higher and more consistent-quality steel.

Fastmarkets MB PHCC ($/tonne, CFR China) [LHS]

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Iron Ore 65-62% Fe Index Differential ($/tonne) Source: Fastmarkets MB

5

This trend has an impact on demand for raw materials though. Larger furnaces require

both higher quality iron ore and higher quality coke, with the strength to support a

heavier burden and maintain permeability for efficient gas flow. In the debate over

whether the flight to higher grades represents a cyclical or structural change, the

construction of bigger furnaces undoubtedly supports the latter case.

Supply ratio of different ore grades

While the lion’s share of inter-grade spread expansion since the start of 2016 can be

attributed to China’s industrial reforms and strong steel demand, the ratio of ore

production across the grade spectrum is also an important variable in determining the

relative value of different products.

A change in the production ratio across the grade spectrum, driven for example by

operational outages, suspensions, new starts or ramp-ups, affects the chemistry of the

‘global product mix’ – a virtual blend of all the world’s ores. A change in the chemistry of

the global product mix often triggers changes in purchasing behavior and the penalties

applied by the market to certain impurities.

A tilt in the silica to alumina ratio in the global product mix can determine which

impurity consumers are more sensitive towards by affecting the degree of flux addition

required to maintain a consistent basicity ratio (CaO:SiO2) in the blast furnace.

Too silica rich, and extra silica will require additional CaO flux to balance the basicity

ratio, which further increases slag rate. Too alumina-rich though and any extra alumina

needs to be diluted through addition of silica, which in turn requires more flux to balance

the basicity ratio. This more compound slag rate increase in an alumina-constrained

system therefore tends to result in a more rapid escalation of penalties for alumina.

The recent profit-driven productivity focus has amplified the price adjustments for

impurities, with record levels being seen for silica in 2017 and alumina in late 2018 (Figure

5). This swing in sensitivity has been influenced in large part by fluctuations in Chinese

domestic concentrate production. China’s lack of naturally enriched iron ores means

that it mainly produces high-silica concentrates.

A price-incentivized resurgence of output of this material in 2017 drove the temporary

surge in silica penalties, while a dramatic drop due to stricter environmental measures in

2018 has contributed to the record alumina penalties we have seen recently.

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MBIOI-62 [LHS] MBIO-58 [LHS] MBIOI-65 [LHS]

Si-VIU ($/1%) Al-VIU ($/1%) P-VIU ($/0.01%)

Fig. 4: China’s Domestic Iron Ore Output

While China’s steel industry reforms have prompted an increased aversion to impurities in general, it’s been the variability in high-silica domestic concentrate supply that has primarily driven the fluctuation between silica and alumina sensitivity specifically. Source: National Bureau of Statistics of China, Fastmarkets MB

Fig. 5: Evolution of Grade Spreads and Impurity Penalties

The way changes in impurities impact the inter-grade spreads, and particularly the

65-62% Fe differential can be complex. Any impurity-sensitive conditions will support

a wider 65-62% Fe spread given the specification differences between the two indices.

However, the tendency for alumina penalties to escalate more radically than those for

silica mean the 65% Fe specification may typically hold a larger premium to the 62%

under the most alumina-sensitive conditions.

Source: Fastmarkets MB

7

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A natural product of variable quality, iron ore has always been a challenging market

to commoditize. Through a concerted and coordinated effort nearly a decade ago the

industry managed to sufficiently coalesce pricing around the 62% Fe benchmark grade

to allow an important step in the market’s maturation – the development of a liquid

exchange-based derivative contract.

But 2009 (the year SGX launched its first iron ore swaps contract) was arguably a simpler

time with smaller, more stable value relationships between different grades of ore.

Greater market complexity, combined with more sophisticated approaches to value

determination, has seen increased diversification in pricing mechanisms, diminishing the

status the 62% Fe grade once held as ‘the’ iron ore price.

Fig. 6: Evolution of Grade Spreads and Impurity Penalties

Make iron ore great again? Google trend analysis for worldwide searches with ‘iron ore’ as a key term shows a dwindling level of interest in the sector in recent years, perhaps in response to lower volatility of the benchmark 62% Fe index and its decreased capacity to reflect prices across the whole iron ore product spectrum. Meanwhile though the physical market has experienced one of its most intriguing periods, with more dynamic differentials emerging between different grades and products. The development of a high-grade derivative may prove to be the catalyst that re-captures the interest of the financial mainstream by better reflecting the nuances of a market that has been

anything but boring.

Development of a high grade derivative contract

8

The first efforts to introduce a paper market for another iron ore benchmark grade

came in 2015 with the launch of 58% Fe contracts on the SGX and CME. However, the

timing of the development in the midst of a painful price downturn found many market

participants in survival mode, lacking the appetite to drive liquidity growth while focus

was locked on cost-reduction and operational efficiency.

The fate of the low-grade derivatives may in part have spooked exchanges from making

forays into other grade segments in subsequent years. However, market participants

point to a number of differences that may bode favorably for the high-grade contract.

First and foremost, as the settlement benchmark for Vale’s IOCJ, there is more volume

directly tied to the Fastmarkets MB 65% Fines Index than there ever was to any low-

grade index.

At approximately 130Mtpa, IOCJ is one of the world’s largest single product streams by

volume, and certainly the market’s largest by value, meaning physical players around

the world are routinely exposed to huge financial risk with no access to a viable hedging

mechanism.

The industry also points to the scope for a 65% Fe derivative to serve as a hedging option

for the wider high-grade market segment as something that will broaden its appeal.

Estimates put the volume of global iron ore exports grading at 63.5% Fe or above at

around 500Mtpa, and the percentage of the total seaborne market exceeding 65% Fe at

around 37-38%. This volume comprises high grade fines, lumps, concentrates and pellets

– all of which have distinctive pricing dynamics. However, a 65% Fe fines derivative would

constitute a significantly more value-aligned tool than is currently offered by the 62% Fe

paper contract.

Assessing the viability of the 65% Fe derivative as a hedging tool for other products

in the high grade sector, the ~99% correlation (Figure 7) shown with the 66% Fe

Concentrate Index (MBIOI-CO) points towards the new contract being a very credible

option for managing exposure to concentrate and pellet feed prices. The stronger

correlation shown with the pellet price (MBIOI-PT) also backs up the logic of the current

market negotiations to shift 2019 pellet contracts away from the 62% Fe price to use the

65 as the base price.

9

Carrots and sticks

Given the number of moving parts that combine to determine inter-grade price spreads,

anticipating their future expansion or contraction won’t be straightforward. Some

market participants hold the view that the long expansion in the 65-62% Fe differential

is due to give way to a prolonged contraction, but an analysis of the drivers suggest we

could be entering choppier waters.

Post-2016 the factors driving the inter-grade spreads have for the most part all been

pulling in the same expansionary direction; stronger mill margins due to capacity

cuts and robust domestic steel demand, stricter environmental regulation, higher

metallurgical coal prices, a focus on steel quality over quantity, and a less balanced

impurity profile in the global product mix.

In other words there’s still something of a carrot and stick debate, since so far the

economic incentives have motivated mills to operate in a fashion that’s fairly well

aligned to the stricter environmental policies. The uncertainty will come when these

spread-driving factors start to move in opposition, as they have begun to.

Predicting future movements ofinter-grade price differentials

Fig. 7: One of the strongest relationships between any two Fastmarkets iron ore benchmarks is the ~99% correlation between the MBIOI-65-BZ and the MBIOI-CO – the 66% Fe Concentrate Index. Another high-grade product segment, pellet, also correlates more strongly with the 65% Fe index than with the 62%, suggesting the new SGX contract could well constitute a more viable hedging option than the 62% Fe contract for the high-grade market segment as a whole. Source: Fastmarkets MB

High Grade Iron Ore

Pellet (BF & DR)

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Crude steel output Y-o-y change [RHS]

In recent years we have witnessed bumpy periods in the 65-62% Fe differential in

response to fluctuations in mill margins, coke prices and impurity sensitivities. But a

serious profitability plunge under today’s more draconian environmental restrictions

is, for example, a scenario yet to be truly tested. Certainly, the stricter anti-pollution

legislation and shift in steel quality requirements are structural changes that should

support a higher floor for the 65-62% Fe differential, but what that base value may be

under less financially favorable market conditions is a major unknown.

Demand

Perhaps the most significant factor that could drive a change in the 65-62% Fe

spread may be a continued drop in steel demand in China, which would negatively

impact mill margins. Arguably just as important a factor as the capacity cuts and

environmental policies, the strength of end-user steel demand in recent years is not to

be underestimated. The drop in China’s steel exports from their peak at over 110Mt in

2015 to just 75Mt two years later in 2017, and the domestic market’s ability to absorb

record crude steel production volumes at such high rates of profitability, is testament to

the recent health in the country’s industrial economy.

However, good times don’t last forever and some analysts believe that Chinese steel

demand may have peaked. For example, Fastmarkets MB Research predict a 1.6% drop

in crude steel output in 2019 relative to 2018, with the shrinkage extending further into

the future for a compound annual growth rate of -0.4% out to 2030. Practically though,

the range of future scenarios could still be rather broad.

Taking the more bearish views at face value, a protracted waning of demand and

subsequent drop in steel prices would deal a heavy blow to mills’ profit margins and put

contractionary pressure on the iron ore quality spreads.

Fig. 8: Chinese Crude Steel Output (Quarterly forecast)

Chinese crude steel expansion has been strong since Q2’16 following economic stimulus-led rally. Inventory-driven correction in crude output expected through 2019. Source: Published in Fastmarkets’ Iron Ore Market Intelligence Service

11

Indeed we have already seen a sharp fall in the 65-62% Fe differential, which has almost

halved between the start of September and the start of December in response to a drop

in HRC prices, closely followed by similar slides in rebar.

The recent sell-off in steel looks to have roots in the financial markets, and speculations

of weakening demand thanks to the US/China trade war in particular. Fundamentals

meanwhile, at least in the longs segment, still look relatively robust with export and

inventory volumes both low, new floor space starts close to recent highs, and buoyant

property prices proving there is still air in the real-estate bubble. The only cause for

some concern might be the pace of growth, with infrastructure investment growth – a

potential leading indicator of longs demand – slowing this year posting a 3.7% year-on-

year increase in the January-October period of 2018, compared with a 19.6% increase

at the same point in 2017. Flats are still a different story though, having been under

pressure for some time due to a decline in automotive sector output, and weaker

international demand for white goods exports as a result of the trade war.

The varying fortunes of producers across the steel product spectrum should serve as a

reminder that ‘mill margins’ as a single factor is an oversimplification of a very complex

gauge. In practice, a more granular approach to evaluating profitability across the steel

industry is necessary to interpret the implications for raw material purchasing behavior.

Supply

On the supply side of the equation, a lackluster output response to price premiums in

the high grade sector up to now has arguably kept prices higher for longer. However,

bringing new high grade supply on line is neither quick nor simple. Though iron is the

fourth most abundant element in the Earth’s crust, naturally enriched and economically

accessible high grade deposits are a rare commodity. Outside of Vale’s S11D ramp up

(part of which will likely go into the company’s mid-grade Brazilian Blend) and the

re-start of Mount Gibson’s Koolan Island mine there is little else in the way of high

grade DSO expected to enter the market in the medium-term. While Simandou’s

potential 100Mtpa of 65% Fe fines would hypothetically be a genuine game changer, its

development looks as far off as ever.

A line-up of beneficiated ore projects (both brownfield and greenfield) looking to target

the pellet feed and sinter concentrates sector look like strong candidates on paper to

hit the market in the next few years, but the high-CAPEX and long lead-time tendency

of these projects has to be taken into account. Anglo American’s Minas Rio project,

which has been suspended since March 2018, has recently resumed production in late

December. A restart at Samarco probably won’t be seen before 2020 though, and even

then is unlikely to reach previous run-rates.

Perhaps the most impactful supply response in the short term may come from efforts

to incrementally improve specifications of existing product streams. The successful

reduction of silica levels in certain products in late 2017 was a contributing factor in

declining silica penalties, and efforts to improve specifications with respect to alumina

could similarly soften penalties and promote a contraction in the 65-62% Fe spread.

12

Geological constraints though, as well as the likely continued suppression of Chinese

domestic concentrate supply, may affect the degree to which the alumina to silica

ratio of the global product mix can be meaningfully lowered in coming years. In fact,

with mines such as Yandi coming to the end of their operating lives, many believe that

greater alumina and phosphorus sensitivity could be a longer-term feature.

Environmental policy

The strong hand of the Chinese government is once again being felt by the market

recently with the announcement of this winter’s restriction policies on steel production.

After blanket curbs last winter the policies this year appear more pragmatic, with a

case-by-case approach focused on pollution reduction permitting more flexibility around

the means that achieve the ends.

The lighter touch approach has already had an impact on ore purchasing behavior, lower

grade products finding some favor once more – especially CID ores that represent a

cheaper option to suppress alumina levels in a less productivity-concerned environment.

Don’t mistake these shorter-term strategy tweaks as a weakening of China’s anti-

pollution efforts though. We have already seen emergency production curbs ready to be

implemented in areas like Tangshan, when emissions targets look under any threat.

Scrap

Another factor expected to shake up the industry is China’s growing use of ferrous scrap

as a steel feedstock. This potential ‘scrapocalypse’ for iron ore demand underpins many

of the more bearish long-term views for the industry, but the potential timing and extent

of an increase in scrap substitution is anything but clear.

Profitability and environmental incentives in recent years have prompted mills to use

more scrap, despite its high price relative to the cost of producing pig iron (Figure 9).

Indeed, ratios of crude steel to blast furnace iron production indicate that a large

proportion of the recent steel output increase can be attributed to higher rates of scrap

consumption.

The question is whether a high BOF scrap rate will persist in a scenario of weakening

steel demand and dented profit margins, given its uncompetitive cost. Despite the

environmental push, Chinese mills have historically shown themselves to be cost-

sensitive and, unless prices drop, would likely look to reduce scrap rates in the BOF.

13

$/t $/t

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Hot metal proxy

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Fig. 9: Scrap has priced at a premium to hot metal production cost in China during 2018

The price spread between ferrous scrap and a hot metal proxy in China has been positive so far in 2018. Source: Fastmarkets MB Research

Beijing’s support for capacity swaps to EAF-route production may in the short term

delay a drop in scrap prices to converge with hot metal production costs. But with

China’s obsolete supply predicted to surge from 60Mt in 2017 to reach anywhere

between 168Mtpa (Worldsteel projections) and 340Mtpa (McKinsey estimates) by 2030,

the longer-term scrap price outlook may potentially look more competitive – especially to

anyone skeptical of the rate of EAF adoption in the country.

Worldsteel forecasts that China’s share of BOF-route production will continue to drop

from 92.7% in 2017 to 89% by 2023, with Fastmarkets MB Research predicting a further

fall to 82% by 2030 – a retraction yes, but not a rapid and industry-wide transition

by any means. Many point to China’s limited (at least for now) availability of cheap,

clean energy, needed for EAFs to be both cost-competitive and more environmentally

friendly than BF/BOF route production, as a counter-argument to a major shift. If EAF

penetration does fail to meet more bullish expectations then scrap may become cheap

enough to compete with pig iron for BOF share even if crude steel production falls – a

threatening scenario for iron ore demand.

14

Fig. 10: Several scenarios could play out for China’s future scrap availability and consumption rate, each with different implications for the iron ore market. This table summarizes the potential impact on iron ore’s inter-grade differentials in four scenarios, varying with respect to mill profitability and scrap price competitiveness. It’s worth noting that if overall iron ore demand decreases we will likely see cost-curve pressure return, the result of which may influence inter-grade spreads from the supply side of the equation.

Crude  Steel  Output Scrap  Consumption Iron  Ore  Demand Inter-­‐Grade  Differential Crude  Steel  Output Scrap  Consumption Iron  Ore  Demand Inter-­‐Grade  Differential

Crude  Steel  Output Scrap  Consumption Iron  Ore  Demand Inter-­‐Grade  Differential Crude  Steel  Output Scrap  Consumption Iron  Ore  Demand Inter-­‐Grade  Differential

Drop  in  steel  demand  drags  down  mill  profit  margins,  incentivizing  a  reduction  in  crude  steel  output.  Cost-­‐sensitive  mills  reduce  use  of  expensive  scrap  feed,  using  higher  percentage  of  pig  iron  in  BOF.  Reliance  on  BF  iron  should  soften  demand  blow  to  iron  ore  &  support  quality  spreads.

Crude  steel  output  drops  in  response  to  demand  &  margins  weakening.  Supply  surge  cheapens  scrap,  improving  cost-­‐competitiveness  vs  pig  iron.  Mills  maintain  scrap  consumption  with  iron  ore  bearing  the  brunt.  Lower  yield  rates  required  from  BFs  favour  lower  grade  ores,  narrowing  inter-­‐grade  spread.    

STRONG  MILL  MARGINSExpensive  scrap Cheaper  scrap

WEAK  MILL  MARGINSExpensive  scrap Cheaper  scrap

Status  quo:  steel  demand  stays  strong,  mills  profitable,  and  crude  steel  output  rates  high.  Mills  continue  to  use  high  scrap  rates  to  support  productivity  in  spite  of  high  prices.  Iron  ore  demand  remains  stable  and  high,  with  focus  on  quality  supporting  wide  inter-­‐grade  spread.

Strong  steel  demand  and  profit  margins  maintain  incentivize  for  high  crude  steel  output.  Cheaper  scrap  due  to  expectation-­‐exceeding  supply  surge  encourages  capacity  switches  to  EAFs.  Overall  iron  ore  demand  drops,  but  quality  pickiness  perists  to  maximize  yield  from  remaining  BF  capacity.

The verdict

Weighing the drivers, the near-term outlook does appear generally indicative of a 65-

62% Fe spread contraction from recent record highs. However, a sharp fall in recent

months may have seen much of the damage already done, and could even have laid the

ground for a potential rebound. In truth, the real lesson may be that with cyclical and

structural spread-driving factors now clashing with one another, the outlook is likely to

be choppier and less predictable.

Inter-grade arbitrage

Despite the fragmentation of the market, the link between various iron ore grades and

products is more pronounced than it might appear at first glance. The benchmark

indices for high, mid and low grade ores show an interactive relationship connected

to the physical arbitrage opportunities of blending, and for the most part, high-grade

premiums and low-grade discounts mirror each other’s movements. An arithmetic blend

of the 65% and 58% Fe indices weighted to proxy a 62% Fe product (a simplification

not accounting for gangue chemistry) tracks in close alignment with the 62% Fe index

itself (Figure 11), revealing the efficiency of valuation across the grade spectrum, with

deviations from long term mean indicating a potentially exploitable blending arbitrage.

This feature of the market is more than just a curiosity; it may play into projections

of the future 65-62% Fe differential. It’s widely understood, for example, that a

disproportionate volume of stockpile volume at Chinese ports is of lower grade given the

comparative favourability of higher grades in recent years. This could in theory buffer an

improvement in low-grade prices even in conditions favouring a narrowing of discounts,

thus helping maintain a wider high-grade premium for longer than expected.

Index Analytics

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Fig. 11: Physical arbitrage indicator - 62% Fe vs 65/58% Fe blend

High-grade premiums and low-grade discounts tend to mirror each other’s movements, with a weighted average of the 65% and 58% Fe indices, approximated to proxy a 62% Fe blend, tracking very closely with the 62% Fe index itself. Deviations from the mean tend to revert with time as they represent something of a value-in-use arbitrage opportunity.

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MBIOI-62 65/58% Blend MBIOI-62 vs 65/58 Blend Mean (MBIOI-6262 vs 65/58 Blend)

Technical analysis & correlation with sector variablesIn seeking to better understand the behavior of any index, traders will naturally look for

correlations with related markets and sector variables – the holy grail being the discovery

of leading indicators of price movement. In this section we analyze the relationships

between movements in iron ore prices and inter-grade differentials, and trends in

macroeconomic indicators.

Visually, the graph showing the continuous probability distribution (kernel density estimation) of MBIOI-65-BZ daily returns suggests similarity in the distribution of positive and negative percentage changes over time. However, the Shapiro-Wilk test shows that the index behavior does not follow a normal distribution. A positive skewness coefficient of 1.21 means that the right tail of the distribution is longer relative to the left tail – the result of a few highly positive percentage moves. Indeed, a kurtosis coefficient of 12.89 for the index (much larger than normal distribution coefficient of 3) means that MBIOI-65-BZ has tended to experience a higher frequency of occasional extreme returns than in markets that show normal distributions in price movement. This is of course somewhat expected looking at the iron ore market – the roller coaster price rides in which are certainly not for the faint hearted, and which make risk management all the more important.

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The MBIOI-65-BZ Statistics

Source: Fastmarkets MB

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Economic data like GDP, inflation metrics such as CPI and PPI, money supply and interest

rates, and sentiment indices like manufacturing PMI, are all indicators that could

factor into iron ore price trends. Production indicators like steel output and industrial

production, and property sector indicators like house prices, sales and investment, may

also show correlations.

As can be seen from the correlation matrix below (Figure 12), the indicators that display

the highest correlation with iron ore prices (both 62% and 65% Fe) are accumulated

growth rates in real estate investment, industrial production and steel production.

Interestingly, the growth rate of steel production shows a significantly stronger

correlation with the price of 65% Fe iron ore than it does with 62% Fe.

This relationship can be easily explained by the drivers discussed earlier in this white

paper – the higher efficiency and increased rate of steel production being a key factor

behind the relative recent strength of high-grade ore prices.

Cross-correlation analysis can help show us whether these highest-correlation indicators

either lead or lag the movements of the MBIOI-65-BZ. In the case of real estate investment

growth rate, lag 0 has the highest correlation with the 65% Fe index value, implying

approximately simultaneous change. Similarly, changes in the growth rate of industrial

production and in the 65% Fe index value also appear simultaneous, with lag 0 again

showing the highest correlation.

Fig. 12: Cross-correlation analysis indicates that the movement of the MBIOI-65-BZ shows a 1-month lag in correlation to crude steel production, while the correlation is approximately simultaneous with respect to industrial production and real estate investment. Source: Fastmarkets MB, various (see below)

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The MBIOI-65 & Steel Production

The MBIOI-65 & Industrial Production

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However, in the case of steel production rate growth, the highest correlation was

reached at lag 1. That suggests that that steel production growth statistics have tended

to moves one month ahead of a correlated reaction in the 65% Fe index price, and may

imply a potential leading indicator.

If we look specifically at the correlations between economic indicators and the 65-62%

Fe price spread (Figure 13) we find some of the strongest relationships again with crude

steel production, but also this time with manufacturing PMI, CPI and money supply.

Again, cross-correlation analysis shows that the correlations are strongest at different

time lags. Steel production growth rate statistics once again correlate most strongly

with the 65-62 spread at lag 1, meaning the spread reacts with an approximately one

month delay. However, both PMI and money supply (M2) correlate most strongly at lag

2, suggesting they are potentially earlier leading indicators of movement in the 65-62

index spread.

Fig. 13: Cross-correlation analysis indicates that the movement of the spread between the 65 and 62% Fe indices shows a 1-month lag in correlation to crude steel product, while an approximately 2-month lag is shown in its correlation with manufacturing PMI and money supply data. Source: Fastmarkets MB, various (see below)

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Correlation matrix data:

• MBIOI 65 – MB Daily Iron Ore Index, 65% Fe, CFR China, $/dmt

• MBIOI 62 – MB Daily Iron Ore Index, 62% Fe, CFR China, $/dmt

• % Real estate - Investment of Real Estate, Accumulated Growth Rate (%) (National Bureau of Statistics of China)

• % IP – Chinese Industrial Production, Accumulated Growth Rate (%) (National Bureau of Statistics of China)

• % SP – Chinese Crude Steel Production, Accumulated Growth Rate (%) (National Bureau of Statistics of China)

• PMI – Chinese Manufacturing Purchasing Managers’ Index (National Bureau of Statistics of China)

• % M2 – Chinese M2 Supply year-on-year growth (National Bureau of Statistics of China)

• PPI – Chinese Producers Price Index (The same month last year=100) (National Bureau of Statistics of China)

• CPI – Chinese Consumers Price Index (The same month last year=100) (National Bureau of Statistics of China)

• % Housing sales – Chinese Commercialized Buildings Sales, Accumulated Growth Rate (%) (National Bureau of Statistics of China)

Of course, correlation does not necessarily imply causality. But interestingly, one possible

explanation for the results builds a picture of the potential cause and effect dynamics

of the market. For example, an announcement of money supply data may trigger a

change in purchasing manager sentiment, which then translates into a change in steel

production rate, before being felt in the seaborne raw materials markets as quality

differentials react in response to changing demand. The reactivity of iron ore prices in

response to steelmaking costs and incentives, as well as to macroeconomic data and

news triggers, creates an interesting market where information and understanding

can be an edge in maximizing value. The development of a high-grade derivative to

complement the existing 62% Fe paper market is a long awaited innovation, which will

allow the market to apply more multi-dimensional trading strategies that closer reflect

the complexities of the diverse physical iron ore market.

21

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