Calcady
Home / Financial / Futures Pricing Calculator (Cost of Carry Model)

Futures Pricing Calculator (Cost of Carry Model)

Calculate theoretical fair value for futures contracts using the Cost of Carry model. Analyze spot-futures parity, contango vs. backwardation, and cash & carry arbitrage opportunities.

Theoretical Pricing Inputs

$
Days

Cost of Carry Dynamics

%
%
%

Arbitrage Detector (Optional)

$

Theoretical Futures Price (F0)

$100.99
Base Spot: $100.00

Engine State Variables

Forward Premium / Discount:$0.99
Net Carry Rate (Continuous):4.00%
Curve Structural Shape:Contango
Email LinkText/SMSWhatsApp

Quick Answer: How are Futures prices calculated?

Futures Pricing mathematically connects the present spot price of an asset to its future delivery price. Instead of trying to \"predict\" where an asset will trade next year, financial engineers calculate the exact \"Cost of Carry\"—which is the cost of borrowing money to buy the asset today, plus the cost of storing it, minus any dividends it pays. If the futures market deviates from this exact mathematical equation, high-frequency algorithms execute risk-free \"Cash & Carry Arbitrage\" until parity is restored.

Parity Mechanics

Total Net Carry Equation

Net Cost = (Risk-Free Rate + Storage) − (Dividend/Convenience Yield)

ℹ The Convenience Yield Parameter

Convenience yield represents the premium placed on having immediate physical access to a commodity rather than holding a paper derivative. During events like the 2020 oil shock or agricultural droughts, the convenience yield explodes, violently pushing the market structure into deep Backwardation regardless of interest rates.

Arbitrage Strategy Execution

✓ Cash & Carry Arbitrage

Futures overvalued | Contango Exploitation

  1. The Dislocation: A sudden surge in retail demand pushes an S&P 500 futures contract artificially higher than its theoretical cost-of-carry fair value.
  2. The Setup: The hedge fund immediately detects the mathematical mispricing in milliseconds.
  3. The Execution: The fund simultaneously borrows cash to buy the physical S&P 500 stocks in the Spot market, while heavily selling (shorting) the expensive Futures contract.

→ Because the Futures contract is contractually forced to converge with the Spot price at expiration, the hedge fund locks in an absolute guaranteed algorithmic profit regardless of whether the market goes up or down.

✗ Reverse Cash & Carry

Futures undervalued | Backwardation Exploitation

  1. The Dislocation: Panic selling causes a commodity futures contract to plummet significantly below its theoretical fair value.
  2. The Setup: The quantitative trading desk identifies the severe underpricing relative to current storage costs.
  3. The Execution: The desk aggressively short-sells the expensive physical commodity in the Spot market, takes the resulting cash to earn the risk-free Treasury rate, and simultaneously buys the cheap Futures contract.

→ At delivery date, the trader uses the cheap futures contract to purchase the commodity and instantly hands it back to the entity they short-sold it from, permanently retaining the risk-free spread differential.

Asset Class Dominant Factors

Asset Class Dominant Cost (u) Normal State
Stock Indices (S&P 500)Risk-Free Interest RateContango
Precious Metals (Gold)Vault Insurance / StorageContango
Agricultural (Wheat)Silo Storage / SpoilageVaries Seasonally
Foreign CurrenciesDomestic Interest RateCovered Interest Parity

Modeling Safeguards

Do This

  • Continuous Compounding. Ensure you are strictly using Euler's number (the `e^rt` continuous compounding method) rather than discrete compounding when pricing sophisticated futures. High-frequency arbitrage algorithms assume capital flows continuously.
  • Account for Slippage. Theoretical arbitrage is perfect on paper, but real-world execution incurs bid-ask spreads, exchange fees, and margin loan lending rates. The absolute dislocation size (the delta) must be wide enough to safely dwarf your transaction costs before pulling the trigger.

Avoid This

  • Ignoring Borrowing Constraints. The \"Reverse Cash & Carry\" arbitrage requires you to aggressively short-sell the physical asset. In many markets (like physical gold bars or certain obscure illiquid equities), borrowing the underlying asset is either functionally impossible or astronomically expensive.
  • Mispricing Seasonality. Agricultural futures (Wheat, Corn) strictly follow harvest cycles. If you blindly apply the continuous dividend formula to a crop that physically doesn't exist until September, the equations will violently fail. Cost of Carry only works when the Spot asset is perfectly accessible right now.

Frequently Asked Questions

What is the difference between Contango and Backwardation?

Contango is the normal structural state of most futures markets where the Future Price trades higher than the Spot Price due to the inherent positive costs of interest and storage. Backwardation is the inverted, rarer state where the Future Price trades lower than the Spot Price, usually triggered by massive immediate physical shortages in the supply chain.

How do dividends affect stock index futures?

Holding a physical stock pays you a dividend, but holding a futures contract does not. Therefore, the expected dividend yield physically subtracts from the net cost of carry. If the dividend yield exactly perfectly matches the risk-free interest rate, the Futures price will equal the Spot price exactly.

Why do Futures prices converge with Spot prices at expiration?

As the "Time to Maturity" (T) parameter asymptotically approaches zero on the final expiration day of the contract, the amount of time left to charge interest or storage physically vanishes to zero. With zero time remaining, the formula mathematically forces F0 to instantly equal S0.

Can this model predict where the price of the asset will be next year?

Absolutely not. This is a common misconception among retail traders. The Futures price is strictly a mathematical arbitrage relationship tied to interest rates and storage costs, not a magical crystal ball attempting to forecast fundamental macroeconomic price action or future supply-demand curves.

Related Derivative Simulators