Understand commodity markets (gold, silver, crude, agri)

Why Commodity Markets Exist

The Fundamental Problem: A wheat farmer in April doesn't know the September harvest price. If prices crash at harvest, he's bankrupt. A bread company doesn't know future wheat costs—can't set bread prices. Solution: futures contracts. The farmer sells September wheat today at a fixed price. The bread company buys. Both hedge risk. Traders take the other side for profit, providing liquidity.

Three Market Participants:

1. Hedgers: Producers/consumers locking in prices (risk reduction)
2. Speculators: Traders betting on price direction (profit motive, provide liquidity)
3. Arbitrageurs: Exploit price differences across markets/time (keep prices efficient)

The Four Major Commodity Categories

1. Gold & Silver (Precious Metals)

Gold's Unique Role: Unlike other commodities, gold has minimal industrial consumption (~10%). It's primarily a monetary asset and inflation hedge. Why?

• Inflation Hedge Mechanism: When currency loses purchasing power, gold's intrinsic scarcity preserves value. If $100 bought 1 oz gold in 2000 and$1800 in 2020, gold "tracked" dollar debasement.
• Negative Real Rates Drive Gold: Gold pays no interest. When real interest rates (nominal rate - inflation) go negative, holding cash/bonds loses purchasing power. Gold becomes attractive. Formula for gold's opportunity cost:

Derivation from first principles:

1. Start: $1 invested in bonds returns$(1 + r_{\text{nominal}})$ after1 year.
2. But inflation at rate $\pi$ means that dollar buys $(1 + \pi)^{-1}$ of goods.
3. Real purchasing power return: $(1 + r_{\text{nominal}}) / (1 + \pi) \approx 1 + r_{\text{nominal}} - \pi$ (Taylor expansion for small rates).
4. So real return $\approx r_{\text{nominal}} - \pi$.
5. If negative, bonds lose value in real terms → gold (zero yield but stable value) wins.

Why this step? The approximation $(1+x)/(1+y) \approx 1 + x - y$ holds for $|x|, |y| \ll 1$, valid for typical interest/inflation rates (2-5%). Exact formula: $r_{\text{real}} = (1 + r_{\text{nominal}})/(1 + \pi) - 1$.

Silver's Dual Nature: 50% industrial (solar panels, electronics), 50% monetary. More volatile than gold—industrial demand swings amplify price moves.

Why this step? When real rates turned positive, the opportunity cost of holding zero-yield gold increased. Investors shifted to interest-bearing assets.

2. Crude Oil (Energy)

The Global Economic Barometer: Oil is the lifeblood of industrial economies—transportation, plastics, chemicals. Demand tracks GDP growth. Supply is geopolitically concentrated (OPEC+, Russia, US shale).

Two Benchmark Prices:

• WTI (West Texas Intermediate): US benchmark, light sweet crude (low sulfur, easy to refine).
• Brent: Global benchmark, North Sea oil. Typically $2-5 premium to WTI (higher transport costs, quality).

Supply-Demand Dynamics:

Derivation (stylized model):

1. Supply curve: Short-term supply is inelastic (can't quickly open/close wells). Long-term, price must cover marginal producer's cost (US shale breakeven ~$50-60/bbl).
2. Demand curve: Also inelastic short-term (cars need gas daily). Long-term, high prices → efficiency, EVs.
3. Equilibrium: At intersection, price clears market. But OPEC cartel can restrict supply → price above competitive level.
4. Risk premium: War, sanctions (Russia, Iran) → supply threat → premium. If2M bl/day at risk out of 100M global, premium ~$5-15/bbl depending on inventory bufers.

Why this step? The formula shows oil isn't "free market"—it's cost floor + cartel manipulation + geopolitical shocks. Explains why oil swings 50%+ in months.

Why this step? The negative price was a futures market technicality (physical delivery squeeze), not oil being "worthless." Spot oil stayed positive.

3. Agricultural Commodities

Weather is the Volatility Driver: A drought in US Corn Belt can spike corn40% in weeks. Unlike oil (storage lasts years), grains are seasonal and perishable.

Key Crops & Seasonality:

• Corn & Soybeans: Planted April-May (US), harvested Sept-Oct. Prices peak in July-August (pre-harvest uncertainty). Fall after harvest (supply floods market).
• Wheat: Multiple harvest cycles (US winter wheat May-June, spring wheat Aug-Sept). Global production (Russia, EU, US Argentina).
• Coffee & Sugar: Tropical crops, long growing cycles (2-3 years for coffee trees to mature). Brazil frost = global price spike.

Derivation:

1. Assume base US corn yield = 180 bushels/acre. 4-week drought in July (pollination stage) → 20% yield loss (empirical).
2. US produces 35% of global corn. Global supply drops $\Delta Q / Q = 0.35 \times 0.20 = 7\%$.
3. Demand elasticity $\epsilon_d = 0.2$ means 1% price increase → 0.2% demand decrease.
4. To clear7% shortfall: $\text{Price increase} = 7\% / 0.2 = 35\%$.

Why this step? Low elasticity amplifies price swings. Consumers can't "skip" food, so supply shocks force huge price adjustments.

Why this step? The spike was expectation-driven before harvest. Once actual yields known (bad but not catastrophic), prices normalized.

How Commodity Futures Work

Example: Dec 2026 Gold Futures (symbol GCZ26)

• Contract size: 100 troy oz
• Current price: $2,400/oz
• Margin requirement: $10{,}000 \text{ (5\% of}$240,000 contract value)
• If gold → $2,450, your profit: ($2,450 - $2,400) × 100 =$5,000 on $10,000 margin (50% return!)
• If gold → $2,350, you lose$5,000 (50% loss). Broker may liquidate if margin depleted.

Contango vs Backwardation:

Derivation (No-Arbitrage Condition):

1. Strategy A: Buy commodity today at $S_0$, store for $T$ years (cost $c \cdot T$), financing cost $r \cdot T$.
2. Total cost at time $T$: $S_0 e^{(r+c)T}$.
3. Strategy B: Buy futures at $F_T$, invest $S_0$ at rate $r$.
4. No arbitrage: $F_T = S_0 e^{(r+c-y)T}$.
5. Contango ($F_T > S_0$): Storage costs high, no shortage (normal). Futures price rises with time to delivery.
6. Backwardation ($F_T < S_0$): Shortage fears → high convenience yield $y$ (holding physical valuable). Near-term delivery premium.

Why this step? The formula shows futures aren't "predictions"—they're the spot price + carry costs. In contango, rolling futures loses money (sell low, buy high each roll). Backwardation gains.

Price Drivers: The5 Forces

1. Supply Shocks

• OPEC cuts, weather disasters, mine strikes. Inelastic supply → large price moves.

2. Demand Cycles

• GDP growth (oil, copper), seasonal (heating oil winter, cooling summer), long-term (EV transition reduces oil demand).

3. Currency Effects

• Commodities priced in USD. Strong dollar → commodities expensive foreign buyers → demand drops → prices fall.
• Formula: If USD appreciates 10% vs basket, oil demand from Europe drops ~5% (elasticity ~0.5), pushing prices down ~10%.

4. Inventory Levels

• High stocks → bearish (abundant supply), low stocks → bullish (shortage risk).
• Days of Supply metric: Inventory / Daily Consumption. Oil<30 days → tight market.

5. Speculation & Financialization

• Since 2000s, commodities became an asset class (diversification, inflation hedge). Index funds, ETFs (e.g., GLD, USO) hold billions. Can amplify trends.

Trading Commodity Markets: Instruments

1. Futures Contracts (Professional)

• High leverage, daily settlement, professional liquidity.

2. ETFs (Retail)

• Physical-backed: GLD (gold), SLV (silver). Track spot price closely.
• Futures-based: USO (oil). Contango loss risk—rolling futures in contango bleds returns.

3. Commodity Stocks

• Gold miners (leverage to gold price), oil companies (leverage + dividend). Correlation imperfect—company risk overlays.

4. Options on Futures

• Defined risk (premium paid), capped upside. Useful for hedging.

Why it feels right: Gold is "inflation hedge" in textbooks. The 1970s example (gold $35 →$850) is seared into memory.

The Reality: Gold rises when real rates are negative and currency trust erodes. 1980-2000: Fed raised rates above inflation (Volcker), real rates positive. Bonds/stocks outperformed. Gold only hedge if governments debase currency faster than interest rates compensate.

The Fix: Check real rates. If 10-year TIPS yield > 1%, gold likely underperforms. If < 0%, gold shines. Don't just look at CPI headline.

Why it feels right: $F > S$ looks like a premium. Market pricing in pessimism?

The Reality: Contango is normal when storage costs exist. The futures price is the no-arbitrage price given carry costs. Shorting doesn't profit unless contango exceds fair value or the market moves to backwardation.

The Fix: Calculate fair futures price using $F = S e^{(r+c)T}$. If observed $F$ higher, then contango excessive (potential short). If $F$ matches formula, no edge. Also, shorting futures in contango means you roll at a loss (buy back high, sell lower each month) unless spot rises faster.

Now, gold is like a super-durable toy that never breaks. Everyone wants it when paper money (like Monopoly money) starts feeling fake. If the government prints too much money, each dollar buys less candy. But gold is rare—they can't print more—so it keeps its "candy-buying power." That's why people buy gold when they don't trust regular money.

Oil is what makes cars, trucks, and planes go. If a big oil country (like the Middle East) has a war, less oil comes out. But everyone still needs gas for their cars, so the price shoots up. When everyone's cars start working again after pandemic (like COVID), suddenly everyone wants oil at once—price up again!

Wheat, corn, and soybeans are food. If it doesn't rain for months (drought), the plants die, and there's way less food. But people still need to eat the same amount, so prices jump up a lot. Farmers hate droughts, but traders can make money betting on prices going up when weather looks bad.

For oil price drivers: "SWIFT Currency Inventories Demand Geography"

• Suply shocks
• Weather (for agri, but oil too—hurricanes)
• Inventories
• Financial speculation
• Technology (shale, solar)
• Currency (USD strength)
• Demand cycles
• Geopolitics

Connections

• Futures and Options Basics – mechanics of derivative contracts
• Portfolio Diversification – commodities low correlation to stocks
• Inflation and Real Returns – why gold shines in negative real rate environments
• Supply and Demand Economics – price discovery fundamentals
• Currency Risk and Forex – USD strength impacts commodity prices
• Technical Analysis for Commodities – trend following in volatile markets
• Hedging Strategies – how producers/consumers use futures
• Energy Transition and Markets – long-term oil demand decline, copper demand rise

#flashcards/stock-market

What are the three types of participants in commodity markets and their motivations? :: 1) Hedgers (producers/consumers locking in prices for risk reduction), 2) Speculators (traders betting on price direction for profit, provide liquidity), 3) Arbitrageurs (exploit price differences to keep markets efficient).

What is the Days of Supply metric for commodities? :: Inventory divided by daily consumption. Indicates market tightness. For oil, <30 days of supply signals a tight market (shortage risk, bullish). >60 days suggests oversupply (bearish).

Concept Map

Hinglish (regional understanding)