financial option valuation techniques Flashcards

1
Q

1997 Nobel Prize (Black-Scholes Option Pricing Model)

A

robert merton
mryon scholes
fischer black

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2
Q

COMMON TECHNIQUES - derived from Black and Scholes’ insights

A

black scholes option pricing model
binomial option pricing model
risk neutral probabilities
risk and return of an option
corporate governance of option pricing

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3
Q

gives holder the right (but not the obligation) to purchase an asset at some future date.

A

call option

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4
Q

gives the holder the right to sell an asset at some future date.

A

put option

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5
Q

the price at which the holder agrees to buy or sell the share of stock when the option is exercised.

A

strike price or exercise price

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6
Q

the last date on which the holder has the right to exercise the option.

A

expiration date

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7
Q

can be exercised on any date up to, and including the exercise date.

A

american option

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8
Q

can be exercised only on the expiration date.

A

european option

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9
Q

It can be derived from the Binomial Option Pricing Model by making the length of each period, and the movement of the stock price per period, shrink to zero and letting the number of periods grow infinitely large.

A

black scholes option pricing model

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10
Q

5 Input Parameters to price the call

A

a.Stock Price
b.Strike Price
c.Exercise Date
d.Risk-free Rate
e.Volatility of the Stock

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11
Q

An option can be valued using a portfolio that replicates the payoffs of the option in different states.

A

Binomial Option Pricing Model

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12
Q

It assumes two possible states for the next time period, given today’s state.

A

binomial option pricing model

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13
Q

The value of an option is the value of the portfolio that replicates its payoffs. The replicating portfolio will hold the underlying asset and risk-free debt, and will need to be rebalanced over time.

A

binomial option pricing model

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14
Q

a portfolio of other securities that has exactly the same value in one period as the option.

A

two state single period model

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15
Q

there are more than two possible outcomes for the stock price in the real world.

A

Multiperiod Model

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16
Q

also known as state-contingent prices, state prices, or martingale prices.

A

risk neutral probabilities

17
Q

probabilities under which the expected return of all securities equals the risk-free rate. These probabilities can be used to price any other asset for which the payoffs in each state are known.

A

risk neutral probabilities

18
Q

In a binomial tree, the risk-neutral probability p that the stock price will increase is given by

A

risk neutral probabilities

19
Q

any security whose payoff depends solely on the prices of other marketed assets.

A

derivative security

20
Q

the basis for a common technique for pricing derivative securities called Monte Carlo simulation.

A

risk neutral pricing method

20
Q

The beta of an option can also be calculated by computing the beta of its replicating portfolio.

A

risk and return of an option

21
Q

For stocks with positive betas, calls will have _____ betas than the underlying stock, while puts will have ______ betas.

A

larger;negative

21
Q

In the randomization, the _______ are used, and so the average payoff can be discounted at the risk-free rate to estimate the derivative security’s value.

A

risk-neutral probabilities

21
Q

For stocks with positive betas, calls will have larger betas than the underlying stock, while puts will have negative betas. The magnitude of the option beta is higher for options that are further out of the money.

A

risk and return of an option

22
Q

As the stock price changes, the beta of an option will change, with its magnitude falling as the option goes in-the-money.

A

risk and return of an option

23
Q

Expected returns and beta are______ related.

A

risk and return of an option; linearly

24
Q

unlevering the beta of equity and calculating the beta of risky debt

A

Corporate Applications of Option Pricing

25
Q

deriving the approximation formula to value debt overhang

A

Corporate Applications of Option Pricing

26
Q

USES OF OPTION PRICING METHODS

A

assess potential investment distortions that might arise due to debt overhang, or the incentive for asset substitution and risk-taking.
evaluate state-contingent costs, such as financial distress costs.
enhance the value of the firm.