Derivatives and Options Pricing: Models and Sensitivities

Introduction

Options are complex financial instruments used for hedging, speculating, and portfolio optimization. Understanding the pricing of options through models like the Black-Scholes and Binomial Tree models is fundamental for traders and investors. This blog also explores the Greeks, which are measures of the sensitivity of the price of derivatives to a change in underlying parameters.

Black-Scholes Model for European Option Pricing

The Black-Scholes model provides a theoretical estimate for the price of European-style options. The formula for a call option is:

C = S0 * N(d1) – X * e^(-rT) * N(d2)

Where:

  • S0 = current stock price,
  • X = strike price of the option,
  • r = risk-free interest rate,
  • T = time to expiration,
  • N() = cumulative normal distribution function,
  • d1 = (ln(S0/X) + (r + σ²/2) * T) / (σ * sqrt(T)),
  • d2 = d1 – σ * sqrt(T),
  • σ = volatility of the stock.

The put option formula can be derived similarly using put-call parity.

Binomial Tree Model for American Options

The Binomial Tree model is useful for pricing American options, which can be exercised at any time before expiration. This model uses a discrete-time lattice to model different paths that the price of the underlying asset might take:

Option value = max(early exercise value, hold option value)

The calculations involve a recursive process through the tree, from expiration to the present, determining the value of the option at each node by considering the exercise versus hold decisions.

The Greeks: Delta, Gamma, Theta, Vega, and Rho

The “Greeks” measure different sensitivities in an option’s price:

  • Delta (Δ): Measures the rate of change of the option price with respect to changes in the underlying asset’s price. For call options, Delta = N(d1).
  • Gamma (Γ): Measures the rate of change in Delta with respect to changes in the underlying asset’s price. Gamma = N'(d1) / (S0 * σ * sqrt(T)).
  • Theta (Θ): Measures the sensitivity of the option price to the passage of time. Theta can be different for calls and puts.
  • Vega (ν): Measures sensitivity to volatility. Vega = S0 * N'(d1) * sqrt(T).
  • Rho (ρ): Measures the sensitivity of the option price to the interest rate. For call options, Rho = X * T * e^(-rT) * N(d2).

Conclusion

Understanding the pricing of options and the factors that influence their price is crucial for anyone involved in trading or investing in options. The Black-Scholes and Binomial Tree models provide frameworks for estimating option prices, while the Greeks offer insights into the risk and sensitivity of options to various factors.

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