Semi Fi: G6: Financial Option Valuation Techniques Flashcards

1
Q

1997 Nobel Prize (Black-Scholes Option Pricing Model)

A

Robert Merton
Myron Scholes
Fischer Black

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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 applications of option pricing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

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

A

Call option

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Gives the holder the right to sell an asset at some future date

A

Put option

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

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

A

Expiration date

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

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

A

American option

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Can be exercised only on the expiration date

A

European option

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Five input parameters to price the call

A

Stock price
Strike price
Exercise date
Risk-free rate
Volatility of the stock

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

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

A

Binomial option pricing model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

The value of an option is the value of the portfolio that replicates it’s payoffs. The replicating portfolio will hold the underlying asset and risk free debt, and will need to be rebalanced overtime.

A

Binomial option pricing model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

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

A

Multiperiod Model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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 beat of 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

Risk-neutral probabilities formula

A

P = (1 + rf ) x S - Sd
Divide by Su - Sd

20
Q

Any security whose pay-off depends solely on the prices of other marketed assets

A

Derivative security

21
Q

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

A

Risk-neutral pricing method

22
Q

True or false

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

A

True

23
Q

Probability call option formula

A

Pc = P x (Su - K )
Divide by (1 + rf )

24
Q

Probability put option formula

A

Pp = P x (K - Sd)
Divide by (1 + rf )

25
Q

True or false
The beta of an option can also be calculated by completing the beta of its replicating portfolio

A

True

26
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 bed that is higher for options that are further out of the money.

A

Risk and return of an option

27
Q

True or false
For stocks with negative betas, calls will have larger Betas than the underlying stock, while puts will have negative betas.

A

False

28
Q

As the stock price changes, the beta of an option will change

A

Risk and return of an option

29
Q

Two corporate applications of option pricing

A
  1. Unleveraging the beta of equity, and calculating the beta of a risky debt
  2. Deriving the approximation formula to value debt overhang
30
Q

True or false

When debt is risky, the betas of equity and debt increase with leverage

A

True

31
Q

True or false

When debt is risky, the betas of equity and debt decrease with leverage

A

False

32
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