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Options Pricing 101

Master the Fundamentals of Option Valuation

QuantMind.ai Education Series

Understanding Options Pricing

Options pricing is a complex interaction of multiple financial parameters. Understanding how options are valued is crucial for successful trading. This guide will walk you through the fundamental concepts and the mathematical models used to price options.

Key Insight: Options pricing is based on the probability of the option expiring in-the-money and the expected profit from that outcome.
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Mathematical Models

Learn the Black-Scholes-Merton model and its variables that determine option prices.

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Key Factors

Understand the six primary factors that influence option pricing.

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Practical Applications

Apply pricing knowledge to real-world trading scenarios.

The Black-Scholes-Merton Model

The Foundation of Options Pricing

The Black-Scholes-Merton model, developed in 1973, revolutionized options trading by providing a mathematical framework for pricing European options. This model earned its creators the Nobel Prize in Economics.

The Black-Scholes Formula

C = S Ɨ N(d₁) - K Ɨ e^(-r Ɨ T) Ɨ N(dā‚‚) where: d₁ = [ln(S/K) + (r + σ²/2) Ɨ T] / (σ Ɨ √T) dā‚‚ = d₁ - σ Ɨ √T

Variables Explained

Variable Description Impact on Price
C/P Call or Put Option Price The output we're calculating
S Current Stock Price (Spot Price) Higher S increases call value, decreases put value
K Strike Price Lower K increases call value, higher K increases put value
T Time to Expiration More time increases both call and put values
r Risk-Free Interest Rate Higher r increases call value, decreases put value
σ Volatility (Sigma) Higher volatility increases both call and put values
N(x) Cumulative Normal Distribution Probability function used in the formula
Important: The Black-Scholes model assumes European-style options, no dividends, constant volatility and interest rates, and efficient markets with no transaction costs.

Key Pricing Factors

1. Option Type: Call vs. Put

Call Options
  • Right to purchase the underlying asset
  • Profits when stock price rises above strike
  • Maximum loss limited to premium paid
Put Options
  • Right to sell the underlying asset
  • Profits when stock price falls below strike
  • Maximum loss limited to premium paid

2. Underlying Asset Price (S)

The current market price of the underlying asset directly impacts option value and determines the "moneyness" of the option:

In-the-Money (ITM)

Calls: S > K
Puts: S < K
Has intrinsic value

At-the-Money (ATM)

Both: S ā‰ˆ K
No intrinsic value
Maximum time value

Out-of-the-Money (OTM)

Calls: S < K
Puts: S > K
Only time value

3. Strike Price (K)

The predetermined price at which the option can be exercised. The relationship between strike price and current price determines:

  • Intrinsic Value: For calls = MAX(S - K, 0); For puts = MAX(K - S, 0)
  • Probability of Profit: Lower strikes for calls and higher strikes for puts have higher probability of expiring ITM
  • Premium Cost: ITM options cost more due to intrinsic value

4. Time to Expiration (T)

Time value, or theta, represents the portion of an option's premium attributable to the time remaining until expiration.

Time Decay Characteristics:
  • Non-linear decay - accelerates as expiration approaches
  • ATM options have the highest time value
  • Weekly options experience rapid time decay
  • Longer expiration provides more opportunity for favorable price movement

5. Interest Rates (r)

The risk-free interest rate affects option pricing through the cost of carrying the position:

  • Call Options: Higher rates increase value (opportunity cost of buying stock now vs. later)
  • Put Options: Higher rates decrease value (opportunity cost of selling stock now vs. later)
  • Impact: Generally minimal for short-term options but significant for LEAPS

Understanding Volatility

The Most Important Factor

Volatility is often considered the most crucial factor in options pricing because all other variables are known or easily observable. Volatility represents the market's expectation of price movement.

Historical Volatility

Measures past price fluctuations of the underlying asset. Calculated using standard deviation of returns over a specific period.

Implied Volatility (IV)

Market's expectation of future volatility derived from current option prices. Often considered a gauge of market sentiment.

Key Insight: Higher volatility increases the range of possible price outcomes, raising the probability of an option finishing in-the-money, thus increasing both call and put values.

Volatility Impact on Options

Volatility Level Option Premium Best For
Low IV (< 20%) Cheaper premiums Buying options, debit spreads
Medium IV (20-40%) Moderate premiums Balanced strategies
High IV (> 40%) Expensive premiums Selling options, credit spreads

Practical Examples

Example 1: Call Option Pricing

Stock Price (S): $100 Strike Price (K): $105 Time to Expiration (T): 30 days (0.0822 years) Risk-Free Rate (r): 5% (0.05) Volatility (σ): 30% (0.30) Using Black-Scholes: d₁ = 0.0124 dā‚‚ = -0.0735 N(d₁) = 0.5050 N(dā‚‚) = 0.4707 Call Option Price = $2.37

Interpretation: The call option with these parameters would cost approximately $2.37 per share, or $237 per contract (100 shares).

Example 2: Impact of Volatility Change

Volatility Call Price Put Price Change
20% $1.58 $2.21 Baseline
30% $2.37 $3.00 +50%
40% $3.16 $3.79 +100%
Key Takeaway: A 10% increase in volatility can increase option premiums by 50% or more, highlighting why volatility is such a crucial factor.

Example 3: Time Decay Illustration

Consider an ATM call option with 30% volatility:

Days to Expiration Option Value Daily Decay
30 days $2.37 $0.05
20 days $1.93 $0.07
10 days $1.37 $0.10
5 days $0.97 $0.15
1 day $0.43 $0.43

Notice: Time decay accelerates dramatically in the final days before expiration.

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