The Black-Scholes model estimates options value based on time and risk factors. It is widely used for its simplicity and insights. Read on to learn how to use it in derivative trading.
The Black-Scholes model, also known as the Black-Scholes-Merton (BSM) model, is a significant concept in modern financial theory. It is a mathematical equation that estimates the theoretical value of derivatives, such as options contracts, based on various factors, including time and risk. Developed in 1973, it remains a widely used method for pricing options contracts.
Key Takeaways
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The Black-Scholes model offers a closed-form approach for calculating the pricing of European options.
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It takes five inputs: the underlying price, the strike price, the period till expiration, volatility, and the risk-free interest rate.
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The model implies that volatility is constant, there are no transaction costs, and returns are normally distributed.
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Its accuracy is limited in markets with dividends, early exercise features, or varying volatility.
Also, check out How are Stock Prices Calculated here.
How Black Scholes Model Works
The BSM model presumes that financial instruments, such as stocks or futures contracts, will move over time but tend to grow at a steady average rate and have constant volatility.
The model requires five variables:
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Volatility of the underlying asset
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Price of the underlying asset
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Strike price of the option
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Time until the option's expiration
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Risk-free interest rate
With these variables, the model calculates the price of a European-style call option.
Black-Scholes Assumptions
The Black Scholes model makes several assumptions:
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No dividends are paid out during the life of the option.
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Markets are random, meaning market movements cannot be predicted.
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There are no transaction costs in buying the option.
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The risk-free rate and volatility of the underlying asset are known and constant.
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The returns of the underlying asset are normally distributed.
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The option is European and can only be exercised at expiration.
The Black Scholes Model Formula
The Black Scholes formula is computed by multiplying the stock price by the cumulative standard normal probability distribution function. Then, the strike price's net present value (NPV) multiplied by the cumulative standard normal distribution is subtracted from the resulting value of the previous calculation.
Here’s the mathematical representation of it:
C=S0 N(d1 )−Ke−rTN(d2)
Where,
C = call option price
N = CDF of the normal distribution
St = spot price of an asset
K = strike price
r = risk-free interest rate
t = time to maturity
σ = volatility of the asset
Check out NPV Calculator here.
Volatility Skew
Volatility skew is the difference in implied volatility across options that have the same expiry but differing strike prices. It occurs when the market expects a higher possibility of price movement in a specific direction. Key features of volatility skew include:
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Directional market expectations: When the market expects a stronger downside or upside move, out-of-the-money options in that direction typically have higher implied volatility.
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Higher volatility for far-from-spot strikes: Equity options with deep out-of-the-money calls or puts often have more implied volatility than at-the-money options, signalling increased demand for protection or speculation.
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Deviation from the Black-Scholes assumption: The skew demonstrates that real-world price distributions are not precisely lognormal, and volatility varies, making the Black Scholes model less accurate in these settings.
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Volatility "smile" or "smirk" pattern: When implied volatilities for all strikes are highlighted, they produce a curved or slanted shape rather than a flat line, indicating an obvious deviation from model assumptions.
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Common in equity derivatives: Volatility skew is most obvious in equities and index options, where investor mood, hedging activity, and risk appetite all impact the variation of implied volatility across strike prices.
Benefits of the Black-Scholes Model
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It provides a theoretical framework for pricing options, allowing investors and traders to determine the fair price of an option using a structured, defined methodology.
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It enables risk management by allowing investors to understand their risk exposure to different assets.
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It can be used for portfolio optimisation by providing a measure of the expected returns and risks associated with different options.
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It enhances market efficiency and transparency as traders and investors are better able to price and trade options.
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It streamlines pricing, allowing for greater consistency and comparability across different markets and jurisdictions.
Here are some specific examples of how the Black Scholes model can benefit investors:
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To determine the fair price of an option. The Black-Scholes model can be used to calculate the theoretical price of an option, which can then be compared to the market price to see if the option is undervalued or overvalued.
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To hedge against risk. By buying an option, an investor can protect themselves against the risk of the underlying asset price falling. For example, if an investor owns shares in a company, they could buy a put option on those shares to protect themselves against the risk of the share price falling below a certain level.
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To create trading strategies. By combining options with other financial instruments, investors can create strategies to generate profits in different market conditions.
Also, learn What are Options here
Limitations of the Black-Scholes Model
Despite its benefits, the Black-Scholes model has some limitations:
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It is only used to price European options and does not account for the fact that American options could be exercised before the expiration date.
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It assumes dividends and risk-free rates are constant, which may not always be the case.
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It assumes volatility remains constant over the option's life, which is often not the case as volatility fluctuates with the level of supply and demand.
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It makes several other assumptions, such as no transaction costs or taxes, constant risk-free interest rates for all maturities, and no riskless arbitrage opportunities. These assumptions can lead to prices that deviate from actual results.
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It is a "black box" model. This means that it is not always clear how the model arrives at its results. This can make it difficult to use the model to understand the underlying factors that are affecting option prices.
Conclusion
The Black-Scholes calculator remains a fundamental tool in modern finance for pricing European-style options. Although it gives a systematic method of calculating the theoretical value of options, depending on important variables, its limitations, like constant volatility and the absence of dividends, need to be taken into consideration.
In spite of such disadvantages, the model is helpful in bringing some insights into the market pricing and risk management and cannot be dispensed with by traders and investors. Knowing its assumptions and constraints could allow it to maximise its exploitation in financial plans.

