Reading 29: The Arbitrage-Free Valuation Framework Flashcards

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1
Q

Arbitrage-free valuation

A

-value securities such that no market participant can earn an arbitrage profit in a trade involving that security

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2
Q

Arbitrage Opportunities

A
  • Value additivity: whole differs from the sum

- Dominance: one asset trades at lower price that another asset with identical characteristics.

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3
Q

Stripping/Reconstitution

A
  • use when value additivity does not hold
  • Ex:
    • stripped bond pieces vs whole bond
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4
Q

Backward Induction

A

See model Kaplan page 35

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5
Q

Three Binomial tree process rules

A

1) interest rate tree should generate arbitrage-free values
2) adjacent forward rates are two standard deviations apart (e^2*variance)
3) The middle forward rate is approx equal to the implies on-period forward rate for that period

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6
Q

Pathwise Valuation

A

-n period equates to 2^(n-1) paths

Ex:
0 = 3%
1 = 5.7883% and 3.88%
2 = 10.7383% and 7.1981% and 4.8250%

Value of bond in path 1 (SUU)=
3/(1.03) + (3/(1.031.057883)) + (103/(1.031.057883*1.1107383))

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7
Q

Path Dependency

A
  • An important assumption of binomial valuation model is that the value of cash flows at a given point are independent of the path that interest rates followed until that point….aka cash flows are not path dependent.
  • This is why binomial valuation doesnt work for MBS securities….ex where rates drop to 4% from 6%, go back up to 6 and then drop to 4% ago. Not alot of refinancing left. Monte Carlo simulation better because it allows path dependency (drift adjusted? adjust rates if out of whack)
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8
Q

Term structure models

A

-attempt to capture the statistical properties of interest rate movements and provide us with quantitatively precise descriptions of how interest rates will change

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9
Q

Equilibrium term structure models

A

-attempt to describe changes in the term structure through the use of fundamental economic variable that drive interest rate

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10
Q

Cox-Ingersoll-Ross model

A

-based on the idea that interest rate movements are driven by individuals choosing between consumption today versus investing and consuming at a later time

dr = a(b-r)dt + variance(rdz^.5)

a=speed of mean reversion
b=long-run value of short-term interest rate
r=short term interest rate
t=time
dt=small increase in time
variance=volatility
dz=small random walk movement

**volatility rises with interest rates

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11
Q

Vasicek model

A
  • interest rate are mean reverting in long run
  • dr = a(b-r)dt + variance(dz)
  • *interest rates do not affect volatility
  • **disadvantage = model does not force interest rates to be non-negative
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12
Q

Arbitrage-free models

A

-assume bonds trading in market are correctly priced

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13
Q

Ho-Lee model

A

dr = theta(dt) + variance(dz)

theta = time-dependent drift term

  • uses market prices to fund the time-dependent drift term that generate term strucutre
  • use to price zero coupon bonds and determine spot curve
  • assumes constant volatility and produces normal distribution of future rates
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14
Q

Kalotay-william-fabozzi (KWF) Model

A
  • does not assume mean revesion, assumes constant volatility and constant drift.
  • assumes short-term rate is lognormally dsitributed

dln(r) = theta(dt) +variance(dz)

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