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In general, finite difference methods are used to price options by approximating the (continuous-time) differential equation that describes how an option price evolves over time by a set of (discrete-time) difference equations. The discrete difference equations may then be solved iteratively to calculate a price for the option. [4]
For performance attribution at individual security level to be meaningful in many cases depends on the return being different from the share price return. If the individual security return matches the share price return, the transaction timing effect is zero. See Example 4 below, which illustrates this feature of the time-weighted method.
Here the price of the option is its discounted expected value; see risk neutrality and rational pricing. The technique applied then, is (1) to generate a large number of possible, but random, price paths for the underlying (or underlyings) via simulation, and (2) to then calculate the associated exercise value (i.e. "payoff") of the option for ...
Price of the underlying: Any fluctuation in the price of the underlying stock/index/commodity obviously has the largest effect on the premium of an option contract. An increase in the underlying price increases the premium of call options and decreases the premium of put options. The reverse is true when the underlying price decreases.
Exchanges quote options prices in terms of the per-share price, not the total price you must pay to own the contract. For example, an option may be quoted at $0.75 on the exchange. So to purchase ...
For example, suppose a call option with a strike price of $100 for DEF stock is sold at $1.00 and a call option for DEF with a strike price of $110 is purchased for $0.50, and at the option's expiration the price of the stock or index is less than the short call strike price of $100, then the return generated for this position is:
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