FIN7029 Flashcards

(33 cards)

1
Q

Derivative

A

An instrument whose value depends on, or is derived from, the value of another asset.

3 major types: futures, forwards, options

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2
Q

Underlying asset

A

An investment term that refers to the real financial asset or security that a financial derivative is based on. Thus, the value of the underlying asset drives the value of the financial derivative.

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3
Q

Forwards contract

A

Agreement to buy or sell an asset at a certain future time for certain future price.

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4
Q

Futures contract

A

Agreement to buy or sell an asset at a certain future time for certain future price that is traded on an exchange.
Futures contract is a standard contract.
At expiry, the value of the contract is the difference between:
-The forward price (F) agreed in advance,
-The current spot price (S).

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5
Q

Call option

A

Option to buy a certain asset by a certain date for a certain price (strike price).

Value:
f = DF(T) * E[max(S-K,0)]
where DF(T) is the discount factor, DF(T) = e^{-rT}

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6
Q

Put option

A

Option to sell a certain asset by a certain date for a certain price (strike price).

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7
Q

Arbitrage

A

Ability to make risk-free profit.
Occurs in markets when 2 equivalent products have different prices. In markets where everything is freely trade-able - buy the cheap one, sell the expensive one.
In an efficient market, there should be no arbitrage opportunities.

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8
Q

Arbitrage Implications

A

Law of one price: identical products should have the same
price now.
* Why? If not, arbitrage opportunities exist and will be exploited until the market corrects itself.
* Corollary: products which provide the same future payoff must have the same value today.
* Good models should not permit arbitrage!
* Modelling assumption: arbitrage opportunities do not exist
(or they will be quickly eliminated)

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9
Q

Arbitrage Limits

A

Arbitrage opportunities do occasionally exist
* Market frictions mean that not all price anomalies can be exploited
* Such frictions may be small for at least some (large) market players

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10
Q

Futures prices

A

F_0 = S_0 e^{rT}

T = time until delivery date in a contract,
S_0 = price of underlying asset today (spot price),
F_0 = futures price today,
r = risk-free rate
e = eulers number

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11
Q

Futures prices - Assumptions

A
  • no transaction costs/ bid-ask spread
  • the same tax rate on all trading profits
  • borrow/lend money at same rate
  • underlying asset has no costs (e.g storage) or rewards (e.g dividends)
  • ability to take long/short positions
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12
Q

Futures for an investment asset (no income)

A

F_0 = S_0 e^{rT}

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13
Q

Asset with known income (for example, dividend
payment of a stock)

A

F_0 = (S_0 - I)e^{rT}

where I is the present value of income

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14
Q

European option

A

Can be exercised only at the end of its life

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15
Q

American option

A

Can be exercised at any time

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16
Q

Black-Scholes parameters

A

S = spot price,
k = strike price,
r = continuous risk-free rate
q = continuous divided yield
T = time to expiry
sigma = volatility
N(x) = standard normal cumulative distribution

17
Q

Black-Scholes model assumptions

A
  • no arbitrage
  • rational investors
  • frictionless market - no trading costs, taxes, spreads
  • infinite divisibility of assets
  • ability to lend/borrow at risk-free rate
  • continuous trading
  • price of underlying follows a lognormal distribution
18
Q

Deterministic process

A

Where future states can be determined.

19
Q

Stochastic process

A

Incorporates
randomness, making it impossible to precisely
determine.

20
Q

Random walk - Markov

A

Over the next time step, our expected location depends only on where we are now, not where we have been.

21
Q

Random walk - Martingale

A

Over the next time step, in terms of pure expectation we expect to remain where we are now.

22
Q

Wiener process

A

A stochastic process W_t is a Wiener process if:
1) W_0 = 0,
2) W_t is continuous,
3) For any 0<t1<t2 the change in value is normally distributed:
W_{t2} - W{t1} ~ N(0, t2-t1)
4) For any 0<t1<t2<t3<t4 the increments W_{t4} - W_{t3} and W_{t2} - W_{t1} are independent.

23
Q

Properties of Wiener

A

W_T ~ N(0,T)
W_{t2} - W_{t1} ~ N(0,t2-t1)
Cov(W_{t1},W_{t2}) = min(t1,t2)

24
Q

Binomial Tree vs BSM

A
  • Binomial Model: Used for discrete time steps, suitable for
    American options (which may be exercised early).
  • Black Scholes Merton Model: A continuous-time model, best for
    European options without early exercise.
  • The binomial model converges to the Black-Scholes price as the
    number of steps increases.
25
Shortcuts to Improve Convergence
▫ Control variate technique ▫ Richardson extrapolation ▫ Adaptive mesh techniques
26
Yield Curves
* A yield curve represents the relationship between interest rates (or yields) and different maturities of fixed-income securities (such as bonds or swaps). * Constructed from benchmark instruments such as: – Cash rates (up to 1 year): Short-term interest rates set by central banks or interbank lending markets. – Futures/FRAs (Forward Rate Agreements): Contracts that lock in future interest rates. * Cash rates readily imply discount factors * But coupon bearing instruments do not * Bootstrapping is the process of determining discount factors that are consistent (i.e. arbitrage free) with the prices of instruments comprising the yield curve
27
CRM - Structural Models
– Based on debtor’s ability to pay – Links the firm’s assets and liabilities (i.e. financial structure) – Default set at a particular reference point
28
CRM - Reduced Form Models
– Use economic and financial measures as predictors – Using stochastic processes and hazard rate modelling
29
CRM - Intensity Models
– Special type of reduced form model – Default modelled as unpredictable Poisson-like jump process – Parameterized by intensity which drives time to switch state and move to default
30
Merton Model
* A structural model that links debt and equity * In general, a firm’s Total Assets = Equity (owned by shareholders) + Debt (held by bond holders) * Merton’s model can easily be understood from a few key insights: – A company with liabilities exceeding assets is in difficulty! – Shareholders have potentially unlimited upside but limited downside. – Bond holders have limited upside (and limited downside).
31
Merton Model Strengths
– Connects default with capital structure – Can be estimated solely from market data – Provides a default probability estimate
32
Merton Model Weaknesses
– Default can only happen at maturity, which is unrealistic – Assume constant asset volatility and risk-free interest rate – Ignores macroeconomic factors – Business cycle is not explicitly incorporated
33
Reduced Form Model
* A simple reduced form model assumes a two-state world: default and non-default * Default is considered an absorbing state (there is no way back) and happens unpredictably.