The Black-Scholes pricing model assumes a lognormal distribution. A lognormal distribution is skewed to the right, which means it has a longer tail towards it right as compared with a normal distribution that is bell-shaped. The lognormal distribution allows for a stock price distribution of between zero and infinity and has an upward bias. This is because while a stock price can only drop 100%, it can rise by more than 100%.

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