Reading 29: The Arbitrage-Free Valuation Framework Flashcards
Arbitrage-free valuation
-value securities such that no market participant can earn an arbitrage profit in a trade involving that security
Arbitrage Opportunities
- Value additivity: whole differs from the sum
- Dominance: one asset trades at lower price that another asset with identical characteristics.
Stripping/Reconstitution
- use when value additivity does not hold
- Ex:
- stripped bond pieces vs whole bond
Backward Induction
See model Kaplan page 35
Three Binomial tree process rules
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
Pathwise Valuation
-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))
Path Dependency
- 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)
Term structure models
-attempt to capture the statistical properties of interest rate movements and provide us with quantitatively precise descriptions of how interest rates will change
Equilibrium term structure models
-attempt to describe changes in the term structure through the use of fundamental economic variable that drive interest rate
Cox-Ingersoll-Ross model
-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
Vasicek model
- 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
Arbitrage-free models
-assume bonds trading in market are correctly priced
Ho-Lee model
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
Kalotay-william-fabozzi (KWF) Model
- does not assume mean revesion, assumes constant volatility and constant drift.
- assumes short-term rate is lognormally dsitributed
dln(r) = theta(dt) +variance(dz)